47 results on '"Sirotkin K"'
Search Results
2. Should we discount the laboratory origin of COVID-19?
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Jonathan J. Couey, Zhang D, Yuri Deigin, Sirotkin K, Alejandro Sousa, Rossana Segreto, Dan Sirotkin, Kevin McCairn, and Jones A
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2019-20 coronavirus outbreak ,Editorial ,Coronavirus disease 2019 (COVID-19) ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Environmental Chemistry ,Analytical Chemistry (journal) ,Computational biology ,Biology - Published
- 2021
3. Integration of cytogenetic landmarks into the draft sequence of the human genome
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BAC Resource Consortium, The, Cheung, V. G., Nowak, N., Jang, W., Kirsch, I. R., Zhao, S., Chen, X.-N., Furey, T. S., Kim, U.-J., Kuo, W.-L., Olivier, M., Conroy, J., Kasprzyk, A., Massa, H., Yonescu, R., Sait, S., Thoreen, C., Snijders, A., Lemyre, E., Bailey, J. A., Bruzel, A., Burrill, W. D., Clegg, S. M., Collins, S., Dhami, P., Friedman, C., Han, C. S., Herrick, S., Lee, J., Ligon, A. H., Lowry, S., Morley, M., Narasimhan, S., Osoegawa, K., Peng, Z., Plajzer-Frick, I., Quade, B. J., Scott, D., Sirotkin, K., Thorpe, A. A., Gray, J. W., Hudson, J., Pinkel, D., Ried, T., Rowen, L., Shen-Ong, G. L., Strausberg, R. L., Birney, E., Callen, D. F., Cheng, J.-F., Cox, D. R., Doggett, N. A., Carter, N. P., Eichler, E. E., Haussler, D., Korenberg, J. R., Morton, C. C., Albertson, D., Schuler, G., de Jong, P. J., and Trask, B. J.
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- 2001
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4. Might SARS‐CoV‐2 Have Arisen via Serial Passage through an Animal Host or Cell Culture?
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Sirotkin K and Dan Sirotkin
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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Pneumonia, Viral ,coronavirus ,Disease ,Peptidyl-Dipeptidase A ,medicine.disease_cause ,Genome ,SARS‐CoV‐2 ,General Biochemistry, Genetics and Molecular Biology ,Betacoronavirus ,03 medical and health sciences ,0302 clinical medicine ,COVID‐19 ,Serial passage ,Zoonoses ,medicine ,Animals ,Humans ,Gain of function mutation ,Amino Acid Sequence ,serial passage ,Pandemics ,030304 developmental biology ,Coronavirus ,0303 health sciences ,biology ,SARS-CoV-2 ,pandemic ,intermediate host ,COVID-19 ,biology.organism_classification ,Problems & Paradigms ,virology ,Evolutionary biology ,Gain of Function Mutation ,Spike Glycoprotein, Coronavirus ,Angiotensin-Converting Enzyme 2 ,Coronavirus Infections ,Laboratories ,gain‐of‐function ,030217 neurology & neurosurgery ,Protein Binding - Abstract
Despite claims from prominent scientists that SARS‐CoV‐2 indubitably emerged naturally, the etiology of this novel coronavirus remains a pressing and open question: Without knowing the true nature of a disease, it is impossible for clinicians to appropriately shape their care, for policy‐makers to correctly gauge the nature and extent of the threat, and for the public to appropriately modify their behavior. Unless the intermediate host necessary for completing a natural zoonotic jump is identified, the dual‐use gain‐of‐function research practice of viral serial passage should be considered a viable route by which the novel coronavirus arose. The practice of serial passage mimics a natural zoonotic jump, and offers explanations for SARS‐CoV‐2's distinctive spike‐protein region and its unexpectedly high affinity for angiotensin converting enzyme (ACE2), as well as the notable polybasic furin cleavage site within it. Additional molecular clues raise further questions, all of which warrant full investigation into the novel coronavirus's origins and a re‐examination of the risks and rewards of dual‐use gain‐of‐function research., This article from a father–son team explores whether the history and methodology of viral serial passage gain‐of‐function research provides a parsimonious explanation for SARS‐CoV‐2, contrasting it with the theory that the novel coronavirus emerged naturally. It also examines the precedents of performing gain‐of‐function research on bat‐borne coronaviruses, and calls for a re‐examination of the risks inherent with gain‐of‐function research.
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- 2020
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5. Database resources of the National Center for Biotechnology Information
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Ew, Sayers, Barrett T, Da, Benson, Sh, Bryant, Canese K, Chetvernin V, Dm, Church, DiCuccio M, Edgar R, Federhen S, Feolo M, Ly, Geer, Helmberg W, Kapustin Y, David Landsman, Dj, Lipman, Tl, Madden, Dr, Maglott, Miller V, Mizrachi I, Ostell J, Kd, Pruitt, Gd, Schuler, Sequeira E, St, Sherry, Shumway M, Sirotkin K, Souvorov A, Starchenko G, Ta, Tatusova, Wagner L, Yaschenko E, and Ye J
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Models, Molecular ,Proteomics ,PubMed ,Genotype ,Sequence Homology ,Gene Expression ,03 medical and health sciences ,0302 clinical medicine ,Databases, Genetic ,Genetics ,Animals ,Humans ,natural sciences ,030304 developmental biology ,0303 health sciences ,Internet ,National Library of Medicine (U.S.) ,Articles ,Genomics ,United States ,3. Good health ,Protein Structure, Tertiary ,Systems Integration ,Phenotype ,Genes ,030220 oncology & carcinogenesis ,Corrigendum ,Databases, Nucleic Acid ,Sequence Alignment ,030217 neurology & neurosurgery - Abstract
In addition to maintaining the GenBank(R) nucleic acid sequence database, the National Center for Biotechnology Information (NCBI) provides analysis and retrieval resources for the data in GenBank and other biological data available through NCBI's web site. NCBI resources include Entrez, the Entrez Programming Utilities, My NCBI, PubMed, PubMed Central, Entrez Gene, the NCBI Taxonomy Browser, BLAST, BLAST Link, Electronic PCR, OrfFinder, Spidey, Splign, RefSeq, UniGene, HomoloGene, ProtEST, dbMHC, dbSNP, Cancer Chromosomes, Entrez Genome, Genome Project and related tools, the Trace, Assembly, and Short Read Archives, the Map Viewer, Model Maker, Evidence Viewer, Clusters of Orthologous Groups, Influenza Viral Resources, HIV-1/Human Protein Interaction Database, Gene Expression Omnibus, Entrez Probe, GENSAT, Database of Genotype and Phenotype, Online Mendelian Inheritance in Man, Online Mendelian Inheritance in Animals, the Molecular Modeling Database, the Conserved Domain Database, the Conserved Domain Architecture Retrieval Tool and the PubChem suite of small molecule databases. Augmenting the web applications are custom implementations of the BLAST program optimized to search specialized data sets. These resources can be accessed through the NCBI home page at www.ncbi.nlm.nih.gov.
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- 2007
6. The NCI and NCBI SKY/CGH Interactive Online Database
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Knutsen, T., Augustus, M., Gobu, V., Padilla-Nash, H., Schrock, E., Shenmen, C., Plotkin, J., Greenhut, S., Kriebel, J., Sirotkin, K., and Ried, T.
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Human genetics -- Research ,Karyotypes -- Research ,Cancer -- Genetic aspects ,Genetic disorders -- Research ,Karyotyping ,Biological sciences - Published
- 2001
7. Integrating sequence and array data to create an improved 1000 Genomes Project haplotype reference panel
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Delaneau O., Marchini J., McVeanh G.A., Donnelly P., Lunter G., Marchini J.L., Myers, S., Gupta-Hinch, A., Iqbal, Z., Mathieson I., Rimmer, A., Xifara, D.K., Kerasidou, A., Churchhouse, C., Altshuler, D.M., Gabriel, S.B., Lander, E.S., Gupta, N., Daly, M.J., DePristo, M.A., Banks, E., Bhatia G., Carneiro, M.O., Del Angel G., Genovese G., Handsaker, R.E., Hartl, C., McCarroll, S.A., Nemesh J.C., Poplin, R.E., Schaffner, S.F., Shakir, K., Sabeti P.C., Grossman, S.R., Tabrizi, S., Tariyal, R., Li H., Reich, D., Durbin, R.M., Hurles, M.E., Balasubramaniam, S., Burton J., Danecek P., Keane, T.M., Kolb-Kokocinski, A., McCarthy, S., Stalker J., Quail, M., Ayub Q., Chen, Y., Coffey, A.J., Colonna V., Huang, N., Jostins L., Scally, A., Walter, K., Xue, Y., Zhang, Y., Blackburne, B., Lindsay, S.J., Ning, Z., Frankish, A., Harrow J., Chris, T.-S., Abecasis G.R., Kang H.M., Anderson P., Blackwell, T., Busonero F., Fuchsberger, C., Jun G., Maschio, A., Porcu, E., Sidore, C., Tan, A., Trost, M.K., Bentley, D.R., Grocock, R., Humphray, S., James, T., Kingsbury, Z., Bauer, M., Cheetham, R.K., Cox, T., Eberle, M., Murray L., Shaw, R., Chakravarti, A., Clark, A.G., Keinan, A., Rodriguez-Flores J.L., De LaVega F.M., Degenhardt J., Eichler, E.E., Flicek P., Clarke L., Leinonen, R., Smith, R.E., Zheng-Bradley X., Beal, K., Cunningham F., Herrero J., McLaren W.M., Ritchie G.R.S., Barker J., Kelman G., Kulesha, E., Radhakrishnan, R., Roa, A., Smirnov, D., Streeter I., Toneva I., Gibbs, R.A., Dinh H., Kovar, C., Lee, S., Lewis L., Muzny, D., Reid J., Wang, M., Yu F., Bainbridge, M., Challis, D., Evani, U.S., Lu J., Nagaswamy, U., Sabo, A., Wang, Y., Yu J., Fowler G., Hale W., Kalra, D., Green, E.D., Knoppers, B.M., Korbel J.O., Rausch, T., Sttz, A.M., Lee, C., Griffin L., Hsieh, C.-H., Mills, R.E., Von Grotthuss, M., Zhang, C., Shi X., Lehrach H., Sudbrak, R., Amstislavskiy V.S., Lienhard, M., Mertes F., Sultan, M., Timmermann, B., Yaspo, M.L., Herwig, S.R., Mardis, E.R., Wilson, R.K., Fulton L., Fulton, R., Weinstock G.M., Chinwalla, A., Ding L., Dooling, D., Koboldt, D.C., McLellan, M.D., Wallis J.W., Wendl, M.C., Zhang Q., Marth G.T., Garrison, E.P., Kural, D., Lee W.-P., Leong W.F., Ward, A.N., Wu J., Zhang, M., Nickerson, D.A., Alkan, C., Hormozdiari F., Ko, A., Sudmant P.H., Schmidt J.P., Davies, C.J., Gollub J., Webster, T., Wong, B., Zhan, Y., Sherry, S.T., Xiao, C., Church, D., Ananiev V., Belaia, Z., Beloslyudtsev, D., Bouk, N., Chen, C., Cohen, R., Cook, C., Garner J., Hefferon, T., Kimelman, M., Liu, C., Lopez J., Meric P., Ostapchuk, Y., Phan L., Ponomarov, S., Schneider V., Shekhtman, E., Sirotkin, K., Slotta, D., Zhang H., Wang J., Fang X., Guo X., Jian, M., Jiang H., Jin X., Li G., Li J., Li, Y., Liu X., Lu, Y., Ma X., Tai, S., Tang, M., Wang, B., Wang G., Wu H., Wu, R., Yin, Y., Zhang W., Zhao J., Zhao, M., Zheng X., Lachlan H., Fang L., Li Q., Li, Z., Lin H., Liu, B., Luo, R., Shao H., Xie, Y., Ye, C., Yu, C., Zheng H., Zhu H., Cai H., Cao H., Su, Y., Tian, Z., Yang H., Yang L., Zhu J., Cai, Z., Albrecht, M.W., Borodina, T.A., Auton, A., Yoon, S.C., Lihm J., Makarov V., Jin H., Kim W., Kim, K.C., Gottipati, S., Jones, D., Cooper, D.N., Ball, E.V., Stenson P.D., Barnes, B., Kahn, S., Ye, K., Batzer, M.A., Konkel, M.K., Walker J.A., MacArthur, D.G., Lek, M., Shriver, M.D., Bustamante, C.D., Gravel, S., Kenny, E.E., Kidd J.M., Lacroute P., Maples, B.K., Moreno-Estrada, A., Zakharia F., Henn, B., Sandoval, K., Byrnes J.K., Halperin, E., Baran, Y., Craig, D.W., Christoforides, A., Izatt, T., Kurdoglu, A.A., Sinari, S.A., Homer, N., Squire, K., Sebat J., Bafna V., Burchard, E.G., Hernandez, R.D., Gignoux, C.R., Haussler, D., Katzman, S.J., Kent W.J., Howie, B., Ruiz-Linares, A., Dermitzakis, E.T., Lappalainen, T., Devine, S.E., Maroo, A., Tallon L.J., Rosenfeld J.A., Michelson L.P., Angius, A., Cucca F., Sanna, S., Bigham, A., Jones, C., Reinier F., Lyons, R., Schlessinger, D., Awadalla P., Hodgkinson, A., Oleksyk, T.K., Martinez-Cruzado J.C., Fu, Y., Xiong, M., Jorde L., Witherspoon, D., Xing J., Browning, B.L., Hajirasouliha I., Chen, K., Albers, C.A., Gerstein, M.B., Abyzov, A., Chen J., Habegger L., Harmanci, A.O., Mu X.J., Sisu, C., Balasubramanian, S., Jin, M., Khurana, E., Clarke, D., Michaelson J.J., OSullivan, C., Barnes, K.C., Gharani, N., Toji L.H., Gerry, N., Kaye J.S., Kent, A., Mathias, R., Ossorio P.N., Parker, M., Rotimi, C.N., Royal, C.D., Tishkoff, S., Via, M., Bodmer W., Bedoya G., Yang G., You, C.J., Garcia-Montero, A., Orfao, A., Dutil J., Brooks L.D., Felsenfeld, A.L., McEwen J.E., Clemm, N.C., Guyer, M.S., Peterson J.L., Duncanson, A., Dunn, M., Peltonen L., and 1000 Genomes Project Consortium
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haplotype ,genetic association ,genotype ,General Physics and Astronomy ,Genome-wide association study ,genetic analysis ,gene sequence ,Biology ,gene frequency ,Polymorphism, Single Nucleotide ,General Biochemistry, Genetics and Molecular Biology ,Article ,polymorphism ,Gene Frequency ,single nucleotide polymorphism ,Humans ,chromosome ,human ,1000 Genomes Project ,indel mutation ,genome ,Alleles ,Genetic association ,Genetics ,Whole genome sequencing ,Multidisciplinary ,accuracy ,Genome, Human ,Haplotype ,allele ,article ,reference database ,General Chemistry ,Microarray Analysis ,chromosome 20 ,Haplotypes ,Human genome ,microarray analysis ,Imputation (genetics) ,Algorithms ,SNP array ,Genome-Wide Association Study - Abstract
A major use of the 1000 Genomes Project (1000GP) data is genotype imputation in genome-wide association studies (GWAS). Here we develop a method to estimate haplotypes from low-coverage sequencing data that can take advantage of single-nucleotide polymorphism (SNP) microarray genotypes on the same samples. First the SNP array data are phased to build a backbone (or 'scaffold') of haplotypes across each chromosome. We then phase the sequence data 'onto' this haplotype scaffold. This approach can take advantage of relatedness between sequenced and non-sequenced samples to improve accuracy. We use this method to create a new 1000GP haplotype reference set for use by the human genetic community. Using a set of validation genotypes at SNP and bi-allelic indels we show that these haplotypes have lower genotype discordance and improved imputation performance into downstream GWAS samples, especially at low-frequency variants. © 2014 Macmillan Publishers Limited. All rights reserved.
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- 2014
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8. Distribution of plasmids in groundwater bacteria
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Ogunseitan, O. A., Tedford, E. T., Pacia, D., Sirotkin, K. M., and Sayler, G. S.
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- 1987
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9. An integrated map of genetic variation from 1,092 human genomes
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Altshuler, DM, Durbin, RM, Abecasis, GR, Bentley, DR, Chakravarti, A, Clark, AG, Donnelly, P, Eichler, EE, Flicek, P, Gabriel, SB, Gibbs, RA, Green, ED, Hurles, ME, Knoppers, BM, Korbel, JO, Lander, ES, Lee, C, Lehrach, H, Mardis, ER, Marth, GT, McVean, GA, Nickerson, DA, Schmidt, JP, Sherry, ST, Wang, J, Wilson, RK, Dinh, H, Kovar, C, Lee, S, Lewis, L, Muzny, D, Reid, J, Wang, M, Fang, X, Guo, X, Jian, M, Jiang, H, Jin, X, Li, G, Li, J, Li, Y, Li, Z, Liu, X, Lu, Y, Ma, X, Su, Z, Tai, S, Tang, M, Wang, B, Wang, G, Wu, H, Wu, R, Yin, Y, Zhang, W, Zhao, J, Zhao, M, Zheng, X, Zhou, Y, Gupta, N, Clarke, L, Leinonen, R, Smith, RE, Zheng-Bradley, X, Grocock, R, Humphray, S, James, T, Kingsbury, Z, Sudbrak, R, Albrecht, MW, Amstislavskiy, VS, Borodina, TA, Lienhard, M, Mertes, F, Sultan, M, Timmermann, B, Yaspo, M-L, Fulton, L, Fulton, R, Weinstock, GM, Balasubramaniam, S, Burton, J, Danecek, P, Keane, TM, Kolb-Kokocinski, A, McCarthy, S, Stalker, J, Quail, M, Davies, CJ, Gollub, J, Webster, T, Wong, B, Zhan, Y, Auton, A, Yu, F, Bainbridge, M, Challis, D, Evani, US, Lu, J, Nagaswamy, U, Sabo, A, Wang, Y, Yu, J, Coin, LJM, Fang, L, Li, Q, Lin, H, Liu, B, Luo, R, Qin, N, Shao, H, Xie, Y, Ye, C, Yu, C, Zhang, F, Zheng, H, Zhu, H, Garrison, EP, Kural, D, Lee, W-P, Leong, WF, Ward, AN, Wu, J, Zhang, M, Griffin, L, Hsieh, C-H, Mills, RE, Shi, X, Von Grotthuss, M, Zhang, C, Daly, MJ, DePristo, MA, Banks, E, Bhatia, G, Carneiro, MO, Del Angel, G, Genovese, G, Handsaker, RE, Hartl, C, McCarroll, SA, Nemesh, JC, Poplin, RE, Schaffner, SF, Shakir, K, Yoon, SC, Lihm, J, Makarov, V, Jin, H, Kim, W, Kim, KC, Rausch, T, Beal, K, Cunningham, F, Herrero, J, McLaren, WM, Ritchie, GRS, Gottipati, S, Keinan, A, Rodriguez-Flores, JL, Sabeti, PC, Grossman, SR, Tabrizi, S, Tariyal, R, Cooper, DN, Ball, EV, Stenson, PD, Barnes, B, Bauer, M, Cheetham, RK, Cox, T, Eberle, M, Kahn, S, Murray, L, Peden, J, Shaw, R, Ye, K, Batzer, MA, Konkel, MK, Walker, JA, MacArthur, DG, Lek, M, Herwig, R, Shriver, MD, Bustamante, CD, Byrnes, JK, De la Vega, FM, Gravel, S, Kenny, EE, Kidd, JM, Lacroute, P, Maples, BK, Moreno-Estrada, A, Zakharia, F, Halperin, E, Baran, Y, Craig, DW, Christoforides, A, Homer, N, Izatt, T, Kurdoglu, AA, Sinari, SA, Squire, K, Xiao, C, Sebat, J, Bafna, V, Burchard, EG, Hernandez, RD, Gignoux, CR, Haussler, D, Katzman, SJ, Kent, WJ, Howie, B, Ruiz-Linares, A, Dermitzakis, ET, Lappalainen, T, Devine, SE, Maroo, A, Tallon, LJ, Rosenfeld, JA, Michelson, LP, Kang, HM, Anderson, P, Angius, A, Bigham, A, Blackwell, T, Busonero, F, Cucca, F, Fuchsberger, C, Jones, C, Jun, G, Lyons, R, Maschio, A, Porcu, E, Reinier, F, Sanna, S, Schlessinger, D, Sidore, C, Tan, A, Trost, MK, Awadalla, P, Hodgkinson, A, Lunter, G, Marchini, JL, Myers, S, Churchhouse, C, Delaneau, O, Gupta-Hinch, A, Iqbal, Z, Mathieson, I, Rimmer, A, Xifara, DK, Oleksyk, TK, Fu, Y, Xiong, M, Jorde, L, Witherspoon, D, Xing, J, Browning, BL, Alkan, C, Hajirasouliha, I, Hormozdiari, F, Ko, A, Sudmant, PH, Chen, K, Chinwalla, A, Ding, L, Dooling, D, Koboldt, DC, McLellan, MD, Wallis, JW, Wendl, MC, Zhang, Q, Tyler-Smith, C, Albers, CA, Ayub, Q, Chen, Y, Coffey, AJ, Colonna, V, Huang, N, Jostins, L, Li, H, Scally, A, Walter, K, Xue, Y, Zhang, Y, Gerstein, MB, Abyzov, A, Balasubramanian, S, Chen, J, Clarke, D, Habegger, L, Harmanci, AO, Jin, M, Khurana, E, Mu, XJ, Sisu, C, Degenhardt, J, Stuetz, AM, Church, D, Michaelson, JJ, Ben, B, Lindsay, SJ, Ning, Z, Frankish, A, Harrow, J, Fowler, G, Hale, W, Kalra, D, Barker, J, Kelman, G, Kulesha, E, Radhakrishnan, R, Roa, A, Smirnov, D, Streeter, I, Toneva, I, Vaughan, B, Ananiev, V, Belaia, Z, Beloslyudtsev, D, Bouk, N, Chen, C, Cohen, R, Cook, C, Garner, J, Hefferon, T, Kimelman, M, Liu, C, Lopez, J, Meric, P, O'Sullivan, C, Ostapchuk, Y, Phan, L, Ponomarov, S, Schneider, V, Shekhtman, E, Sirotkin, K, Slotta, D, Zhang, H, Barnes, KC, Beiswanger, C, Cai, H, Cao, H, Gharani, N, Henn, B, Jones, D, Kaye, JS, Kent, A, Kerasidou, A, Mathias, R, Ossorio, PN, Parker, M, Reich, D, Rotimi, CN, Royal, CD, Sandoval, K, Su, Y, Tian, Z, Tishkoff, S, Toji, LH, Via, M, Yang, H, Yang, L, Zhu, J, Bodmer, W, Bedoya, G, Ming, CZ, Yang, G, You, CJ, Peltonen, L, Garcia-Montero, A, Orfao, A, Dutil, J, Martinez-Cruzado, JC, Brooks, LD, Felsenfeld, AL, McEwen, JE, Clemm, NC, Duncanson, A, Dunn, M, Guyer, MS, Peterson, JL, 1000 Genomes Project Consortium, Dermitzakis, Emmanouil, Universitat de Barcelona, Massachusetts Institute of Technology. Department of Biology, Altshuler, David, and Lander, Eric S.
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Natural selection ,LOCI ,Genome-wide association study ,Evolutionary biology ,Continental Population Groups/genetics ,Human genetic variation ,VARIANTS ,Genoma humà ,Binding Sites/genetics ,0302 clinical medicine ,RARE ,Sequence Deletion/genetics ,WIDE ASSOCIATION ,ddc:576.5 ,Copy-number variation ,MUTATION ,Exome sequencing ,transcription factor ,Conserved Sequence ,Human evolution ,Sequence Deletion ,Genetics ,RISK ,0303 health sciences ,Multidisciplinary ,Continental Population Groups ,1000 Genomes Project Consortium ,Genetic analysis ,Genomics ,Polymorphism, Single Nucleotide/genetics ,Research Highlight ,3. Good health ,Algorithm ,Multidisciplinary Sciences ,Genetic Variation/genetics ,Map ,Science & Technology - Other Topics ,Conserved Sequence/genetics ,Integrated approach ,General Science & Technology ,Genetics, Medical ,Haplotypes/genetics ,Biology ,Polymorphism, Single Nucleotide ,Evolution, Molecular ,03 medical and health sciences ,Genetic variation ,Humans ,Transcription Factors/metabolism ,POPULATION-STRUCTURE ,1000 Genomes Project ,Polymorphism ,Nucleotide Motifs ,Alleles ,030304 developmental biology ,COPY NUMBER VARIATION ,Science & Technology ,Binding Sites ,Human genome ,Genome, Human ,Racial Groups ,Genetic Variation ,Genetics, Population ,Haplotypes ,Genome, Human/genetics ,untranslated RNA ,030217 neurology & neurosurgery ,Transcription Factors ,Genome-Wide Association Study - Abstract
By characterizing the geographic and functional spectrum of human genetic variation, the 1000 Genomes Project aims to build a resource to help to understand the genetic contribution to disease. Here we describe the genomes of 1,092 individuals from 14 populations, constructed using a combination of low-coverage whole-genome and exome sequencing. By developing methods to integrate information across several algorithms and diverse data sources, we provide a validated haplotype map of 38 million single nucleotide polymorphisms, 1.4 million short insertions and deletions, and more than 14,000 larger deletions. We show that individuals from different populations carry different profiles of rare and common variants, and that low-frequency variants show substantial geographic differentiation, which is further increased by the action of purifying selection. We show that evolutionary conservation and coding consequence are key determinants of the strength of purifying selection, that rare-variant load varies substantially across biological pathways, and that each individual contains hundreds of rare non-coding variants at conserved sites, such as motif-disrupting changes in transcription-factor-binding sites. This resource, which captures up to 98% of accessible single nucleotide polymorphisms at a frequency of 1% in related populations, enables analysis of common and low-frequency variants in individuals from diverse, including admixed, populations., National Institutes of Health (U.S.) (Grant RC2HL102925), National Institutes of Health (U.S.) (Grant U54HG3067)
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- 2012
10. Database resources of the National Center for Biotechnology Information
- Author
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Sayers, E. W., primary, Barrett, T., additional, Benson, D. A., additional, Bolton, E., additional, Bryant, S. H., additional, Canese, K., additional, Chetvernin, V., additional, Church, D. M., additional, DiCuccio, M., additional, Federhen, S., additional, Feolo, M., additional, Fingerman, I. M., additional, Geer, L. Y., additional, Helmberg, W., additional, Kapustin, Y., additional, Krasnov, S., additional, Landsman, D., additional, Lipman, D. J., additional, Lu, Z., additional, Madden, T. L., additional, Madej, T., additional, Maglott, D. R., additional, Marchler-Bauer, A., additional, Miller, V., additional, Karsch-Mizrachi, I., additional, Ostell, J., additional, Panchenko, A., additional, Phan, L., additional, Pruitt, K. D., additional, Schuler, G. D., additional, Sequeira, E., additional, Sherry, S. T., additional, Shumway, M., additional, Sirotkin, K., additional, Slotta, D., additional, Souvorov, A., additional, Starchenko, G., additional, Tatusova, T. A., additional, Wagner, L., additional, Wang, Y., additional, Wilbur, W. J., additional, Yaschenko, E., additional, and Ye, J., additional
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- 2011
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11. Database resources of the National Center for Biotechnology Information
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Sayers, E. W., primary, Barrett, T., additional, Benson, D. A., additional, Bolton, E., additional, Bryant, S. H., additional, Canese, K., additional, Chetvernin, V., additional, Church, D. M., additional, DiCuccio, M., additional, Federhen, S., additional, Feolo, M., additional, Fingerman, I. M., additional, Geer, L. Y., additional, Helmberg, W., additional, Kapustin, Y., additional, Landsman, D., additional, Lipman, D. J., additional, Lu, Z., additional, Madden, T. L., additional, Madej, T., additional, Maglott, D. R., additional, Marchler-Bauer, A., additional, Miller, V., additional, Mizrachi, I., additional, Ostell, J., additional, Panchenko, A., additional, Phan, L., additional, Pruitt, K. D., additional, Schuler, G. D., additional, Sequeira, E., additional, Sherry, S. T., additional, Shumway, M., additional, Sirotkin, K., additional, Slotta, D., additional, Souvorov, A., additional, Starchenko, G., additional, Tatusova, T. A., additional, Wagner, L., additional, Wang, Y., additional, Wilbur, W. J., additional, Yaschenko, E., additional, and Ye, J., additional
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- 2010
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12. Database resources of the National Center for Biotechnology Information
- Author
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Sayers, E. W., primary, Barrett, T., additional, Benson, D. A., additional, Bryant, S. H., additional, Canese, K., additional, Chetvernin, V., additional, Church, D. M., additional, DiCuccio, M., additional, Edgar, R., additional, Federhen, S., additional, Feolo, M., additional, Geer, L. Y., additional, Helmberg, W., additional, Kapustin, Y., additional, Landsman, D., additional, Lipman, D. J., additional, Madden, T. L., additional, Maglott, D. R., additional, Miller, V., additional, Mizrachi, I., additional, Ostell, J., additional, Pruitt, K. D., additional, Schuler, G. D., additional, Sequeira, E., additional, Sherry, S. T., additional, Shumway, M., additional, Sirotkin, K., additional, Souvorov, A., additional, Starchenko, G., additional, Tatusova, T. A., additional, Wagner, L., additional, Yaschenko, E., additional, and Ye, J., additional
- Published
- 2009
- Full Text
- View/download PDF
13. Database resources of the National Center for Biotechnology Information
- Author
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Wheeler, D. L., primary, Barrett, T., additional, Benson, D. A., additional, Bryant, S. H., additional, Canese, K., additional, Chetvernin, V., additional, Church, D. M., additional, DiCuccio, M., additional, Edgar, R., additional, Federhen, S., additional, Feolo, M., additional, Geer, L. Y., additional, Helmberg, W., additional, Kapustin, Y., additional, Khovayko, O., additional, Landsman, D., additional, Lipman, D. J., additional, Madden, T. L., additional, Maglott, D. R., additional, Miller, V., additional, Ostell, J., additional, Pruitt, K. D., additional, Schuler, G. D., additional, Shumway, M., additional, Sequeira, E., additional, Sherry, S. T., additional, Sirotkin, K., additional, Souvorov, A., additional, Starchenko, G., additional, Tatusov, R. L., additional, Tatusova, T. A., additional, Wagner, L., additional, and Yaschenko, E., additional
- Published
- 2007
- Full Text
- View/download PDF
14. dbSNP: the NCBI database of genetic variation.
- Author
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Sherry, S. T., Ward, M.-H., Kholodov, M., Baker, J., Phan, L., Smigielski, E. M., and Sirotkin, K.
- Published
- 2001
- Full Text
- View/download PDF
15. dbSNP: a database of single nucleotide polymorphisms.
- Author
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Smigielski, E M, Sirotkin, K, Ward, M, and Sherry, S T
- Abstract
In response to a need for a general catalog of genome variation to address the large-scale sampling designs required by association studies, gene mapping and evolutionary biology, the National Cancer for Biotechnology Information (NCBI) has established the dbSNP database. Submissions to dbSNP will be integrated with other sources of information at NCBI such as GenBank, PubMed, LocusLink and the Human Genome Project data. The complete contents of dbSNP are available to the public at website: http://www.ncbi.nlm.nih.gov/SNP. Submitted SNPs can also be downloaded via anonymous FTP at ftp://ncbi.nlm.nih.gov/snp/
- Published
- 2000
- Full Text
- View/download PDF
16. A locus encoding host range is linked to the common nodulation genes of Bradyrhizobium japonicum
- Author
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Nieuwkoop, A J, Banfalvi, Z, Deshmane, N, Gerhold, D, Schell, M G, Sirotkin, K M, and Stacey, G
- Abstract
By using cloned Rhizobium meliloti, Rhizobium leguminosarum, and Rhizobium sp. strain MPIK3030 nodulation (nod) genes as hybridization probes, homologous regions were detected in the slow-growing soybean symbiont Bradyrhizobium japonicum USDA 110. These regions were found to cluster within a 25-kilobase (kb) region. Specific nod probes from R. meliloti were used to identify nodA-, nodB-, nodC-, and nodD-like sequences clustered on two adjacent HindIII restriction fragments of 3.9 and 5.6 kb. A 785-base-pair sequence was identified between nodD and nodABC. This sequence contained an open reading frame of 420 base pairs and was oriented in the same direction as nodABC. A specific nod probe from R. leguminosarum was used to identify nodIJ-like sequences which were also contained within the 5.6-kb HindIII fragment. A nod probe from Rhizobium sp. strain MPIK3030 was used to identify hsn (host specificity)-like sequences essential for the nodulation of siratro (Macroptilium atropurpureum) on a 3.3-kb HindIII fragment downstream of nodIJ. A transposon Tn5 insertion within this region prevented the nodulation of siratro, but caused little or no delay in the nodulation of soybean (Glycine max).
- Published
- 1987
- Full Text
- View/download PDF
17. The Autodegradation of Deoxyribonucleic Acid (DNA) in Human Rib Bone and Its Relationship to the Time Interval Since Death
- Author
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Perry, WL, Bass, WM, Riggsby, WS, and Sirotkin, K
- Abstract
This research explored the feasibility of using the degradation rate of deoxyribonucleic acid (DNA) in human rib bone to determine the time interval since death. Postmortem human rib samples were surface sterilized and incubated under sterile conditions in either high or low humidity conditions at room temperature for a period of weeks. At selected times, portions of the bone were cut away, and the DNA from these samples was extracted and subjected to strand separating gel electrophoresis. The DNAs in the gels were transferred to a nylon membrane, preserving their relative positions as in the gel, and probed with radioactive total genomic human DNA. Autoradiograms produced were scanned and digitized. When the samples were incubated under identical conditions, the degradation rate of DNA in samples from different individuals appeared very similar. The DNA degradation rate may vary with temperature and humidity more than it varies between individuals.
- Published
- 1988
- Full Text
- View/download PDF
18. Repetitive DNA of Candida albicans: nuclear and mitochondrial components
- Author
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Wills, J W, Lasker, B A, Sirotkin, K, and Riggsby, W S
- Abstract
We report the isolation and analysis of the rapidly reassociating DNA of the pathogenic, dimorphic fungus Candida albicans. Minicot analysis of whole-cell repetitive DNA suggested that a significant portion of this component was mitochondrial DNA. Genomic blot hybridizations in which radioactive whole-cell repetitive DNA was used as a probe revealed eight major EcoRI bands in the molecular weight range resolved by the gel system used. Isolation and analysis of high-purity mitochondrial DNA have shown that five of these bands are of mitochondrial origin. The remaining three bands are of nuclear origin and represent repetitive sequences that are found in the nuclear genome. Attempts to isolate nuclear DNA that was completely free of mitochondrial DNA contamination were unsuccessful.
- Published
- 1984
- Full Text
- View/download PDF
19. Isolation and characterization of the DNA region encoding nodulation functions in Bradyrhizobium japonicum
- Author
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Russell, P, Schell, M G, Nelson, K K, Halverson, L J, Sirotkin, K M, and Stacey, G
- Abstract
The DNA region encoding early nodulation functions of Bradyrhizobium japonicum 3I1b110 (I110) was isolated by its homology to the functionally similar region from Rhizobium meliloti. Isolation of a number of overlapping recombinant clones from this region allowed the construction of a restriction map of the region. The identified nodulation region of B. japonicum shows homology exclusively to those regions of R. meliloti and Rhizobium leguminosarum DNA known to encode early nodulation functions. The region of homology with these two fast-growing Rhizobium species was narrowed to an 11.7-kilobase segment. A nodulation-defective mutant of Rhizobium fredii USDA 201, strain A05B-2, was isolated and found to be defective in the ability to curl soybean root hairs. Some of the isolated recombinant DNA clones of B. japonicum were found to restore wild-type nodulation function to this mutant. Analysis of the complementation results allows the identification of a 1.8-kilobase region as essential for restoration of Hac function.
- Published
- 1985
- Full Text
- View/download PDF
20. A new gene of Escherichia coli K-12 whose product participates in T4 bacteriophage late gene expression: interaction of lit with the T4-induced polynucleotide 5'-kinase 3'-phosphatase
- Author
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Cooley, W, Sirotkin, K, Green, R, and Synder, L
- Abstract
We isolated five Escherichia coli mutants deficient in their ability to support the late (replication-coupled) gene expression of T4 bacteriophage at 30 degrees C. These mutants, which we call Lit mutants, define at least one novel gene at 25 min on the E. coli map. They were selected in an attempt to obtain mutants which restrict the growth of T4 mutants deficient in polynucleotide 5'-kinase 3'-phosphatase but not that of wild-type T4 at 37 degrees C. Some of the mutants do have these phenotypes under some conditions. Studies of the block in T4 development in some of the E. coli mutants suggest that Lit mutants are affected in a gene product involved in the metabolism of deoxyribonucleic acid nicks or single-strand gaps. None of the Lit mutants is deficient in the major, bacterial, 3'-phosphatase activity in crude extracts.
- Published
- 1979
- Full Text
- View/download PDF
21. Database resources of the National Center for Biotechnology Information
- Author
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Wheeler, D. L., Barrett, T., Benson, D. A., Bryant, S. H., Canese, K., Chetvernin, V., Church, D. M., Dicuccio, M., Edgar, R., Federhen, S., Geer, L. Y., Helmberg, W., Kapustin, Y., Kenton, D. L., Khovayko, O., Lipman, D. J., Madden, T. L., Maglott, D. R., Ostell, J., Pruitt, K. D., Schuler, G. D., Lynn Schriml, Sequeira, E., Sherry, S. T., Sirotkin, K., Souvorov, A., Starchenko, G., Suzek, T. O., Tatusov, R., Tatusova, T. A., Wagner, L., and Yaschenko, E.
- Subjects
Internet ,PubMed ,0303 health sciences ,National Library of Medicine (U.S.) ,Genomics ,Sequence Analysis, DNA ,United States ,Article ,3. Good health ,03 medical and health sciences ,0302 clinical medicine ,Gene Expression Regulation ,Genes ,Databases, Genetic ,Genetics ,Humans ,natural sciences ,Databases, Nucleic Acid ,Databases, Protein ,Sequence Alignment ,Software ,030217 neurology & neurosurgery ,030304 developmental biology - Abstract
In addition to maintaining the GenBank nucleic acid sequence database, the National Center for Biotechnology Information (NCBI) provides analysis and retrieval resources for the data in GenBank and other biological data made available through NCBI's Web site. NCBI resources include Entrez, the Entrez Programming Utilities, MyNCBI, PubMed, PubMed Central, Entrez Gene, the NCBI Taxonomy Browser, BLAST, BLAST Link (BLink), Electronic PCR, OrfFinder, Spidey, Splign, RefSeq, UniGene, HomoloGene, ProtEST, dbMHC, dbSNP, Cancer Chromosomes, Entrez Genomes and related tools, the Map Viewer, Model Maker, Evidence Viewer, Clusters of Orthologous Groups, Retroviral Genotyping Tools, HIV-1, Human Protein Interaction Database, SAGEmap, Gene Expression Omnibus, Entrez Probe, GENSAT, Online Mendelian Inheritance in Man, Online Mendelian Inheritance in Animals, the Molecular Modeling Database, the Conserved Domain Database, the Conserved Domain Architecture Retrieval Tool and the PubChem suite of small molecule databases. Augmenting many of the Web applications are custom implementations of the BLAST program optimized to search specialized datasets. All of the resources can be accessed through the NCBI home page at: http://www.ncbi.nlm.nih.gov.
22. A role in true-late gene expression for the T4 bacteriophage 5′ polynucleotide kinase 3′ phosphatase
- Author
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Sirotkin, K., primary, Cooley, W., additional, Runnels, J., additional, and Snyder, L.R., additional
- Published
- 1978
- Full Text
- View/download PDF
23. Application of DNA-DNA colony hybridization to the detection of catabolic genotypes in environmental samples
- Author
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Sayler, G S, primary, Shields, M S, additional, Tedford, E T, additional, Breen, A, additional, Hooper, S W, additional, Sirotkin, K M, additional, and Davis, J W, additional
- Published
- 1985
- Full Text
- View/download PDF
24. dbSNP-database for single nucleotide polymorphisms and other classes of minor genetic variation.
- Author
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Sherry, S T, Ward, M, and Sirotkin, K
- Published
- 1999
25. Application of neural networks and other machine learning algorithms to DNA sequence analysis
- Author
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Sirotkin, K
- Published
- 1988
26. Clarification regarding the likely leak of a novel viral strain from a Soviet laboratory (referring to https://doi.org/10.1002/bies.202000091).
- Author
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Sirotkin K and Sirotkin D
- Subjects
- Laboratories
- Published
- 2021
- Full Text
- View/download PDF
27. Should we discount the laboratory origin of COVID-19?
- Author
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Segreto R, Deigin Y, McCairn K, Sousa A, Sirotkin D, Sirotkin K, Couey JJ, Jones A, and Zhang D
- Abstract
Competing Interests: Conflict of interestThe authors declare no competing financial interest.
- Published
- 2021
- Full Text
- View/download PDF
28. Database resources of the National Center for Biotechnology Information.
- Author
-
Sayers EW, Barrett T, Benson DA, Bolton E, Bryant SH, Canese K, Chetvernin V, Church DM, Dicuccio M, Federhen S, Feolo M, Fingerman IM, Geer LY, Helmberg W, Kapustin Y, Krasnov S, Landsman D, Lipman DJ, Lu Z, Madden TL, Madej T, Maglott DR, Marchler-Bauer A, Miller V, Karsch-Mizrachi I, Ostell J, Panchenko A, Phan L, Pruitt KD, Schuler GD, Sequeira E, Sherry ST, Shumway M, Sirotkin K, Slotta D, Souvorov A, Starchenko G, Tatusova TA, Wagner L, Wang Y, Wilbur WJ, Yaschenko E, and Ye J
- Subjects
- Gene Expression, Genomics, Internet, Models, Molecular, National Library of Medicine (U.S.), Periodicals as Topic, PubMed, Sequence Alignment, Sequence Analysis, DNA, Sequence Analysis, Protein, Sequence Analysis, RNA, Small Molecule Libraries, United States, Databases as Topic, Databases, Genetic, Databases, Protein
- Abstract
In addition to maintaining the GenBank® nucleic acid sequence database, the National Center for Biotechnology Information (NCBI) provides analysis and retrieval resources for the data in GenBank and other biological data made available through the NCBI Website. NCBI resources include Entrez, the Entrez Programming Utilities, MyNCBI, PubMed, PubMed Central (PMC), Gene, the NCBI Taxonomy Browser, BLAST, BLAST Link (BLink), Primer-BLAST, COBALT, Splign, RefSeq, UniGene, HomoloGene, ProtEST, dbMHC, dbSNP, dbVar, Epigenomics, Genome and related tools, the Map Viewer, Model Maker, Evidence Viewer, Trace Archive, Sequence Read Archive, BioProject, BioSample, Retroviral Genotyping Tools, HIV-1/Human Protein Interaction Database, Gene Expression Omnibus (GEO), Probe, Online Mendelian Inheritance in Animals (OMIA), the Molecular Modeling Database (MMDB), the Conserved Domain Database (CDD), the Conserved Domain Architecture Retrieval Tool (CDART), Biosystems, Protein Clusters and the PubChem suite of small molecule databases. Augmenting many of the Web applications are custom implementations of the BLAST program optimized to search specialized data sets. All of these resources can be accessed through the NCBI home page at www.ncbi.nlm.nih.gov.
- Published
- 2012
- Full Text
- View/download PDF
29. Database resources of the National Center for Biotechnology Information.
- Author
-
Wheeler DL, Barrett T, Benson DA, Bryant SH, Canese K, Chetvernin V, Church DM, Dicuccio M, Edgar R, Federhen S, Feolo M, Geer LY, Helmberg W, Kapustin Y, Khovayko O, Landsman D, Lipman DJ, Madden TL, Maglott DR, Miller V, Ostell J, Pruitt KD, Schuler GD, Shumway M, Sequeira E, Sherry ST, Sirotkin K, Souvorov A, Starchenko G, Tatusov RL, Tatusova TA, Wagner L, and Yaschenko E
- Subjects
- Animals, Databases, Nucleic Acid, Gene Expression, Genomics, Genotype, Humans, Internet, Models, Molecular, Phenotype, Proteomics, Sequence Alignment, United States, Databases, Genetic, National Library of Medicine (U.S.)
- Abstract
In addition to maintaining the GenBank(R) nucleic acid sequence database, the National Center for Biotechnology Information (NCBI) provides analysis and retrieval resources for the data in GenBank and other biological data available through NCBI's web site. NCBI resources include Entrez, the Entrez Programming Utilities, My NCBI, PubMed, PubMed Central, Entrez Gene, the NCBI Taxonomy Browser, BLAST, BLAST Link, Electronic PCR, OrfFinder, Spidey, Splign, RefSeq, UniGene, HomoloGene, ProtEST, dbMHC, dbSNP, Cancer Chromosomes, Entrez Genome, Genome Project and related tools, the Trace, Assembly, and Short Read Archives, the Map Viewer, Model Maker, Evidence Viewer, Clusters of Orthologous Groups, Influenza Viral Resources, HIV-1/Human Protein Interaction Database, Gene Expression Omnibus, Entrez Probe, GENSAT, Database of Genotype and Phenotype, Online Mendelian Inheritance in Man, Online Mendelian Inheritance in Animals, the Molecular Modeling Database, the Conserved Domain Database, the Conserved Domain Architecture Retrieval Tool and the PubChem suite of small molecule databases. Augmenting the web applications are custom implementations of the BLAST program optimized to search specialized data sets. These resources can be accessed through the NCBI home page at www.ncbi.nlm.nih.gov.
- Published
- 2008
- Full Text
- View/download PDF
30. The NCBI dbGaP database of genotypes and phenotypes.
- Author
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Mailman MD, Feolo M, Jin Y, Kimura M, Tryka K, Bagoutdinov R, Hao L, Kiang A, Paschall J, Phan L, Popova N, Pretel S, Ziyabari L, Lee M, Shao Y, Wang ZY, Sirotkin K, Ward M, Kholodov M, Zbicz K, Beck J, Kimelman M, Shevelev S, Preuss D, Yaschenko E, Graeff A, Ostell J, and Sherry ST
- Subjects
- Computational Biology, Databases, Factual, National Library of Medicine (U.S.) organization & administration, United States, Databases, Genetic, Genotype, Phenotype
- Abstract
The National Center for Biotechnology Information has created the dbGaP public repository for individual-level phenotype, exposure, genotype and sequence data and the associations between them. dbGaP assigns stable, unique identifiers to studies and subsets of information from those studies, including documents, individual phenotypic variables, tables of trait data, sets of genotype data, computed phenotype-genotype associations, and groups of study subjects who have given similar consents for use of their data.
- Published
- 2007
- Full Text
- View/download PDF
31. Linking the human cytogenetic map with nucleotide sequence: the CCAP clone set.
- Author
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Jang W, Yonescu R, Knutsen T, Brown T, Reppert T, Sirotkin K, Schuler GD, Ried T, and Kirsch IR
- Subjects
- Base Composition genetics, Base Sequence, Chromosomes, Artificial, Bacterial genetics, Chromosomes, Human, Pair 22 genetics, Clone Cells metabolism, Cytogenetics, Genome, Human genetics, Humans, In Situ Hybridization, Fluorescence, Chromosome Aberrations, Chromosome Mapping, Neoplasms genetics
- Abstract
We present the completed dataset and clone repository of the Cancer Chromosome Aberration Project (CCAP), an initiative developed and funded through the intramural program of the U.S. National Cancer Institute, to provide seamless linkage of human cytogenetic markers with the primary nucleotide sequence of the human genome. Spaced at 1-2 Mb intervals across the human genome, 1,339 bacterial artificial chromosome (BAC) clones have been localized to chromosomal bands through high-resolution fluorescence in situ hybridization (FISH) mapping. Of these clones, 99.8% can be positioned on the primary human genome sequence and 95% are placed at or close to their precise nucleotide starts and stops. This dataset can be studied and manipulated within generally available public Web sites. The clones are available from a commercial repository. The CCAP BAC clone set provides anchors for the interrogation of gene and sequence involvement in oncogenic and developmental disorders when the starting point is the recognition of a structural, numerical, or interstitial chromosomal aberration. This dataset also provides a current view of the quality and coherence of the available genome sequence and insight into the nucleotide and three-dimensional structures that manifest as Giemsa light and dark chromosomal banding patterns.
- Published
- 2006
- Full Text
- View/download PDF
32. Database resources of the National Center for Biotechnology Information.
- Author
-
Wheeler DL, Barrett T, Benson DA, Bryant SH, Canese K, Chetvernin V, Church DM, DiCuccio M, Edgar R, Federhen S, Geer LY, Helmberg W, Kapustin Y, Kenton DL, Khovayko O, Lipman DJ, Madden TL, Maglott DR, Ostell J, Pruitt KD, Schuler GD, Schriml LM, Sequeira E, Sherry ST, Sirotkin K, Souvorov A, Starchenko G, Suzek TO, Tatusov R, Tatusova TA, Wagner L, and Yaschenko E
- Subjects
- Databases, Nucleic Acid, Databases, Protein, Gene Expression Regulation, Genes, Genomics, Humans, Internet, PubMed, Sequence Alignment, Sequence Analysis, DNA, Software, United States, Databases, Genetic, National Library of Medicine (U.S.)
- Abstract
In addition to maintaining the GenBank nucleic acid sequence database, the National Center for Biotechnology Information (NCBI) provides analysis and retrieval resources for the data in GenBank and other biological data made available through NCBI's Web site. NCBI resources include Entrez, the Entrez Programming Utilities, MyNCBI, PubMed, PubMed Central, Entrez Gene, the NCBI Taxonomy Browser, BLAST, BLAST Link (BLink), Electronic PCR, OrfFinder, Spidey, Splign, RefSeq, UniGene, HomoloGene, ProtEST, dbMHC, dbSNP, Cancer Chromosomes, Entrez Genomes and related tools, the Map Viewer, Model Maker, Evidence Viewer, Clusters of Orthologous Groups, Retroviral Genotyping Tools, HIV-1, Human Protein Interaction Database, SAGEmap, Gene Expression Omnibus, Entrez Probe, GENSAT, Online Mendelian Inheritance in Man, Online Mendelian Inheritance in Animals, the Molecular Modeling Database, the Conserved Domain Database, the Conserved Domain Architecture Retrieval Tool and the PubChem suite of small molecule databases. Augmenting many of the Web applications are custom implementations of the BLAST program optimized to search specialized datasets. All of the resources can be accessed through the NCBI home page at: http://www.ncbi.nlm.nih.gov.
- Published
- 2006
- Full Text
- View/download PDF
33. The interactive online SKY/M-FISH & CGH database and the Entrez cancer chromosomes search database: linkage of chromosomal aberrations with the genome sequence.
- Author
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Knutsen T, Gobu V, Knaus R, Padilla-Nash H, Augustus M, Strausberg RL, Kirsch IR, Sirotkin K, and Ried T
- Subjects
- Base Sequence, Chromosome Mapping, Genome, Human, Humans, Karyotyping, Online Systems, Chromosome Aberrations, Databases, Nucleic Acid, In Situ Hybridization, Fluorescence, Neoplasms genetics, Nucleic Acid Hybridization methods
- Abstract
To catalog data on chromosomal aberrations in cancer derived from emerging molecular cytogenetic techniques and to integrate these data with genome maps, we have established two resources, the NCI and NCBI SKY/M-FISH & CGH Database and the Cancer Chromosomes database. The goal of the former is to allow investigators to submit and analyze clinical and research cytogenetic data. It contains a karyotype parser tool, which automatically converts the ISCN short-form karyotype into an internal representation displayed in detailed form and as a colored ideogram with band overlay, and also has a tool to compare CGH profiles from multiple cases. The Cancer Chromosomes database integrates the SKY/M-FISH & CGH Database with the Mitelman Database of Chromosome Aberrations in Cancer and the Recurrent Chromosome Aberrations in Cancer database. These three datasets can now be searched seamlessly by use of the Entrez search and retrieval system for chromosome aberrations, clinical data, and reference citations. Common diagnoses, anatomic sites, chromosome breakpoints, junctions, numerical and structural abnormalities, and bands gained and lost among selected cases can be compared by use of the "similarity" report. Because the model used for CGH data is a subset of the karyotype data, it is now possible to examine the similarities between CGH results and karyotypes directly. All chromosomal bands are directly linked to the Entrez Map Viewer database, providing integration of cytogenetic data with the sequence assembly. These resources, developed as a part of the Cancer Chromosome Aberration Project (CCAP) initiative, aid the search for new cancer-associated genes and foster insights into the causes and consequences of genetic alterations in cancer., ((c) 2005 Wiley-Liss, Inc.)
- Published
- 2005
- Full Text
- View/download PDF
34. Database resources of the National Center for Biotechnology Information.
- Author
-
Wheeler DL, Barrett T, Benson DA, Bryant SH, Canese K, Church DM, DiCuccio M, Edgar R, Federhen S, Helmberg W, Kenton DL, Khovayko O, Lipman DJ, Madden TL, Maglott DR, Ostell J, Pontius JU, Pruitt KD, Schuler GD, Schriml LM, Sequeira E, Sherry ST, Sirotkin K, Starchenko G, Suzek TO, Tatusov R, Tatusova TA, Wagner L, and Yaschenko E
- Subjects
- Amino Acid Sequence, Animals, Computational Biology, Conserved Sequence, Databases, Factual, Gene Expression Profiling, Genes, Genomics, Humans, Models, Molecular, Phenotype, Protein Interaction Mapping, Protein Structure, Tertiary, Sequence Alignment, Software, United States, Databases, Genetic, National Library of Medicine (U.S.)
- Abstract
In addition to maintaining the GenBank nucleic acid sequence database, the National Center for Biotechnology Information (NCBI) provides data retrieval systems and computational resources for the analysis of data in GenBank and other biological data made available through NCBI's website. NCBI resources include Entrez, Entrez Programming Utilities, PubMed, PubMed Central, Entrez Gene, the NCBI Taxonomy Browser, BLAST, BLAST Link (BLink), Electronic PCR, OrfFinder, Spidey, RefSeq, UniGene, HomoloGene, ProtEST, dbMHC, dbSNP, Cancer Chromosomes, Entrez Genomes and related tools, the Map Viewer, Model Maker, Evidence Viewer, Clusters of Orthologous Groups (COGs), Retroviral Genotyping Tools, HIV-1/Human Protein Interaction Database, SAGEmap, Gene Expression Omnibus (GEO), Online Mendelian Inheritance in Man (OMIM), the Molecular Modeling Database (MMDB), the Conserved Domain Database (CDD) and the Conserved Domain Architecture Retrieval Tool (CDART). Augmenting many of the Web applications are custom implementations of the BLAST program optimized to search specialized datasets. All of the resources can be accessed through the NCBI home page at http://www.ncbi.nlm.nih.gov.
- Published
- 2005
- Full Text
- View/download PDF
35. Integration of cytogenetic landmarks into the draft sequence of the human genome.
- Author
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Cheung VG, Nowak N, Jang W, Kirsch IR, Zhao S, Chen XN, Furey TS, Kim UJ, Kuo WL, Olivier M, Conroy J, Kasprzyk A, Massa H, Yonescu R, Sait S, Thoreen C, Snijders A, Lemyre E, Bailey JA, Bruzel A, Burrill WD, Clegg SM, Collins S, Dhami P, Friedman C, Han CS, Herrick S, Lee J, Ligon AH, Lowry S, Morley M, Narasimhan S, Osoegawa K, Peng Z, Plajzer-Frick I, Quade BJ, Scott D, Sirotkin K, Thorpe AA, Gray JW, Hudson J, Pinkel D, Ried T, Rowen L, Shen-Ong GL, Strausberg RL, Birney E, Callen DF, Cheng JF, Cox DR, Doggett NA, Carter NP, Eichler EE, Haussler D, Korenberg JR, Morton CC, Albertson D, Schuler G, de Jong PJ, and Trask BJ
- Subjects
- Chromosome Mapping, Chromosomes, Artificial, Bacterial, Cytogenetic Analysis, Human Genome Project, Humans, In Situ Hybridization, Fluorescence, Radiation Hybrid Mapping, Sequence Tagged Sites, Chromosome Aberrations, Genetic Markers, Genome, Human
- Abstract
We have placed 7,600 cytogenetically defined landmarks on the draft sequence of the human genome to help with the characterization of genes altered by gross chromosomal aberrations that cause human disease. The landmarks are large-insert clones mapped to chromosome bands by fluorescence in situ hybridization. Each clone contains a sequence tag that is positioned on the genomic sequence. This genome-wide set of sequence-anchored clones allows structural and functional analyses of the genome. This resource represents the first comprehensive integration of cytogenetic, radiation hybrid, linkage and sequence maps of the human genome; provides an independent validation of the sequence map and framework for contig order and orientation; surveys the genome for large-scale duplications, which are likely to require special attention during sequence assembly; and allows a stringent assessment of sequence differences between the dark and light bands of chromosomes. It also provides insight into large-scale chromatin structure and the evolution of chromosomes and gene families and will accelerate our understanding of the molecular bases of human disease and cancer.
- Published
- 2001
- Full Text
- View/download PDF
36. Use of molecular variation in the NCBI dbSNP database.
- Author
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Sherry ST, Ward M, and Sirotkin K
- Subjects
- Evolution, Molecular, Genotype, Human Genome Project, Humans, Internet, National Library of Medicine (U.S.), Pharmacogenetics, United States, Databases, Factual, Genetic Variation, Polymorphism, Single Nucleotide
- Abstract
While high quality information regarding variation in genes is currently available in locus-specific or specialized mutation databases, the need remains for a general catalog of genome variation to address the large-scale sampling designs required by association studies, gene mapping, and evolutionary biology. In response to this need, the National Center for Biotechnology Information (NCBI) has established the dbSNP database http://ncbi. nlm.nih.gov/SNP/ to serve as a generalized, central variation database. Submissions to dbSNP will be integrated with other sources of information at NCBI such as GenBank, PubMed, LocusLink, and the Human Genome Project data, and the complete contents of dbSNP are available to the public via anonymous FTP. Hum Mutat 15:68-75, 2000. Published 2000 Wiley-Liss, Inc.
- Published
- 2000
- Full Text
- View/download PDF
37. Determination of eukaryotic protein coding regions using neural networks and information theory.
- Author
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Farber R, Lapedes A, and Sirotkin K
- Subjects
- Base Sequence, Codon, Introns, Molecular Sequence Data, Neural Networks, Computer, Exons, Genes, Open Reading Frames
- Abstract
Our previous work applied neural network techniques to the problem of discriminating open reading frame (ORF) sequences taken from introns versus exons. The method counted the codon frequencies in an ORF of a specified length, and then used this codon frequency representation of DNA fragments to train a neural net (essentially a Perceptron with a sigmoidal, or "soft step function", output) to perform this discrimination. After training, the network was then applied to a disjoint "predict" set of data to assess accuracy. The resulting accuracy in our previous work was 98.4%, exceeding accuracies reported in the literature at that time for other algorithms. Here, we report even higher accuracies stemming from calculations of mutual information (a correlation measure) of spatially separated codons in exons, and in introns. Significant mutual information exists in exons, but not in introns, between adjacent codons. This suggests that dicodon frequencies of adjacent codons are important for intron/exon discrimination. We report that accuracies obtained using a neural net trained on the frequency of dicodons is significantly higher at smaller fragment lengths than even our original results using codon frequencies, which were already higher than simple statistical methods that also used codon frequencies. We also report accuracies obtained from including codon and dicodon statistics in all six reading frames, i.e. the three frames on the original and complement strand. Inclusion of six-frame statistics increases the accuracy still further. We also compare these neural net results to a Bayesian statistical prediction method that assumes independent codon frequencies in each position. The performance of the Bayesian scheme is poorer than any of the neural based schemes, however many methods reported in the literature either explicitly, or implicitly, use this method. Specifically, Bayesian prediction schemes based on codon frequencies achieve 90.9% accuracy on 90 codon ORFs, while our best neural net scheme reaches 99.4% accuracy on 60 codon ORFs. "Accuracy" is defined as the average of the exon and intron sensitivities. Achievement of sufficiently high accuracies on short fragment lengths can be useful in providing a computational means of finding coding regions in unannotated DNA sequences such as those arising from the mega-base sequencing efforts of the Human Genome Project. We caution that the high accuracies reported here do not represent a complete solution to the problem of identifying exons in "raw" base sequences. The accuracies are considerably lower from exons of small length, although still higher than accuracies reported in the literature for other methods. Short exon lengths are not uncommon.(ABSTRACT TRUNCATED AT 400 WORDS)
- Published
- 1992
- Full Text
- View/download PDF
38. Ecdysterone induces the transcription of four heat-shock genes in Drosophila S3 cells and imaginal discs.
- Author
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Ireland RC, Berger E, Sirotkin K, Yund MA, Osterbur D, and Fristrom J
- Subjects
- Animals, Cell Line, Cycloheximide pharmacology, Drosophila, Heat-Shock Proteins, Nucleic Acid Hybridization, Protein Biosynthesis, Receptors, Cell Surface analysis, Ecdysterone pharmacology, Hot Temperature, Proteins genetics, Transcription, Genetic
- Published
- 1982
- Full Text
- View/download PDF
39. Bacteriophage T2 and T4, dam+ and damh and Eco dam+ methylation: preference at different sites.
- Author
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Doolittle MM and Sirotkin K
- Subjects
- Base Sequence, DNA Restriction Enzymes, Escherichia coli genetics, Mutation, S-Adenosylmethionine metabolism, DNA, Viral metabolism, Methylation, T-Phages genetics
- Abstract
We present a method for determining preference for methylation at minor methylation sites. The target DNA sequence is first subjected to computer-assisted analysis to predict which restriction endonuclease(s) will generate fragments that will contain only one or two likely minor methylation site(s). The target DNA is then methylated in vitro with a radioactive methyl-group donor and subjected to digestion by the chosen restriction enzyme(s). The amount of radioactivity in the various fragments is determined, after separating them using polyacrylamide gel electrophoresis. We documented the effect of nearby bases on the methylation preference and the relative preference for methylation at some specific minor methylation sites.
- Published
- 1988
- Full Text
- View/download PDF
40. A computer program to display codon changes caused by mutagenesis.
- Author
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Sirotkin K
- Subjects
- Data Display, Genetic Code, Codon analysis, Mutation, RNA, Messenger analysis, Software
- Abstract
A FORTRAN program for displaying the correspondence between codon changes and different possible base changes is presented. Changes of both single bases and dimers are considered. The user can specify the mutagenesis spectrum. Additionally, the user can choose whether or not to consider single or double events in a codon and whether or not to consider the possibility that the change of two bases (a dimer) can overlap a codon boundary. Furthermore, a variety of ways may be chosen to display and summarize the codon changes that can result from the specified mutagenesis. A user-supplied sequence or the genetic code table can be analyzed.
- Published
- 1988
- Full Text
- View/download PDF
41. Kinetic control of the length of very short homopolymeric additions by terminal deoxynucleotidyltransferase.
- Author
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Sirotkin K
- Subjects
- Deoxyadenosines metabolism, Deoxycytidine metabolism, Deoxyguanosine metabolism, Kinetics, Substrate Specificity, Thymidine metabolism, DNA Nucleotidylexotransferase metabolism, DNA Nucleotidyltransferases metabolism
- Abstract
This work is an investigation of the practicality of kinetic control of the length of very short deoxynucleotide homopolymeric additions by terminal deoxynucleotidyltransferase. For such very short additions, the possibility that terminal deoxynucleotidyltransferase acts differently with each deoxytriphosphate, or shows interaction effects when presented with multiple deoxytriphosphates, was investigated. Different relative rates of priming and different relative rates of subsequent additions were found for each deoxytriphosphate. Each triphosphate reacted uniquely, and one case of interaction was found, with adenosine interfering with cytidine addition.
- Published
- 1986
- Full Text
- View/download PDF
42. Quantitating small volumes of dilute DNA samples containing sodium dodecyl sulfate.
- Author
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Perry WL 3rd and Sirotkin K
- Subjects
- Animals, Bacteriophage lambda genetics, DNA, Recombinant, DNA, Viral analysis, Diffusion, Drosophila melanogaster genetics, Ethidium, Fluorescence, Humans, Microchemistry, Plasmids, Solutions, DNA analysis, Sodium Dodecyl Sulfate
- Abstract
A technique to quantitate small volumes of dilute solutions of different-sized DNA fragments has been developed. The detection limit was 0.7 micrograms/ml and the technique could be used even in the presence of diffusable substances, including those such as sodium dodecyl sulfate which affect surface tension and also exhibit fluorescence when stained with ethidium bromide and excited by ultraviolet light. The DNA was mixed with low-melting-point agarose and pipetted into preformed wells in an agarose plate, where it solidified. After diffusion of small molecules, the amount of DNA was estimated by comparing ethidium bromide-mediated fluorescence of samples with that of standards.
- Published
- 1987
- Full Text
- View/download PDF
43. T4 Bacteriophage-coded RNA polymerase subunit blocks host transcription and unfolds the host chromosome.
- Author
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Sirotkin K, Wei J, and Snyder L
- Subjects
- Chromosome Mapping, Cytosine metabolism, DNA, Viral biosynthesis, Mutation, RNA, Viral biosynthesis, Transcription Factors biosynthesis, Chromosomes ultrastructure, Coliphages metabolism, DNA-Directed RNA Polymerases metabolism, RNA, Bacterial biosynthesis, Transcription, Genetic
- Abstract
T4 bacteriophage mutants selected for their ability to grow with cytosine in their DNA are defective in host transcriptional shutoff and host chromosome unfolding. The host RNA polymerase purifed from cells infected by such a mutant lacks a small T4-coded subunit.
- Published
- 1977
- Full Text
- View/download PDF
44. Advantages to mutagenesis techniques generating populations containing the complete spectrum of single codon changes.
- Author
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Sirotkin K
- Subjects
- Amino Acids genetics, Enzymes genetics, Genetic Engineering methods, Probability, Substrate Specificity, Codon genetics, Mutation, RNA, Messenger genetics
- Abstract
The limitations of current mutagenesis techniques are analyzed in terms of the number and kinds of codon changes they make and in terms of the population size needed to produce all single or multiple amino acid variants. It is shown how a technique that can alter a single codon of a gene, producing all possible variant codons without affecting the rest of the gene, has certain advantages, if it can be used at each place in the gene in one experiment. Such a technique has advantages when the goals are to understand: (1) how specific structural alterations in a mutant protein cause it to function in a different but specific way, (2) how to predict which amino acids in a protein contact or interact with each other, and (3) why a protein is more or less sensitive to mutational disruption, depending upon the specific mutation. This is because it would generate the maximum number of (1) mutant proteins with different functions, (2) intracistronic suppressor for any starting mutation, and (3) random amino acid substitutions at random places. Furthermore, such a technique could produce useful variants more quickly and on a smaller scale than either evolution or current methods.
- Published
- 1986
- Full Text
- View/download PDF
45. Deletion polymorphism in a Drosophila melanogaster heat shock gene.
- Author
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Sirotkin K, Bartley N, Perry WL 3rd, Briggs D, Grell EH, Morganelli C, Berger EM, Bonner JJ, and Leicht B
- Subjects
- Alleles, Animals, Base Sequence, Cloning, Molecular, DNA Restriction Enzymes, Homozygote, Chromosome Deletion, Drosophila melanogaster genetics, Genes, Heat-Shock Proteins genetics, Polymorphism, Genetic
- Abstract
We have continued the transcriptional analysis of the region of cytological locus 67B that contains the four small heat shock genes and other genes. Transcription from one of the heat shock genes in the region, hsp 26, takes place during high temperature treatment and at certain developmental stages, without heat shock, in several tissues, such as imaginal discs and adult ovaries. Observations of unexpected products after nuclease protection experiments provided the first indication of what genomic blot experiments showed to be small deletions. The alleles containing the deletion are expressed at the same level as the wild type allele. The deletion shortens the protein product, implying that it is in the coding region. Furthermore, flies homozygous for one of the deletion alleles are viable.
- Published
- 1986
- Full Text
- View/download PDF
46. The distribution of interspersed repetitive DNA sequences in the human genome.
- Author
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Moyzis RK, Torney DC, Meyne J, Buckingham JM, Wu JR, Burks C, Sirotkin KM, and Goad WB
- Subjects
- Chromosome Mapping, DNA, Recombinant, Humans, Models, Genetic, Nucleic Acid Hybridization, Repetitive Sequences, Nucleic Acid
- Abstract
The distribution of interspersed repetitive DNA sequences in the human genome has been investigated, using a combination of biochemical, cytological, computational, and recombinant DNA approaches. "Low-resolution" biochemical experiments indicate that the general distribution of repetitive sequences in human DNA can be adequately described by models that assume a random spacing, with an average distance of 3 kb. A detailed "high-resolution" map of the repetitive sequence organization along 400 kb of cloned human DNA, including 150 kb of DNA fragments isolated for this study, is consistent with this general distribution pattern. However, a higher frequency of spacing distances greater than 9.5 kb was observed in this genomic DNA sample. While the overall repetitive sequence distribution is best described by models that assume a random distribution, an analysis of the distribution of Alu repetitive sequences appearing in the GenBank sequence database indicates that there are local domains with varying Alu placement densities. In situ hybridization to human metaphase chromosomes indicates that local density domains for Alu placement can be observed cytologically. Centric heterochromatin regions, in particular, are at least 50-fold underrepresented in Alu sequences. The observed distribution for repetitive sequences in human DNA is the expected result for sequences that transpose throughout the genome, with local regions of "preference" or "exclusion" for integration.
- Published
- 1989
- Full Text
- View/download PDF
47. Developmentally regulated transcription from Drosophila melanogaster chromosomal site 67B.
- Author
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Sirotkin K and Davidson N
- Subjects
- Animals, DNA genetics, DNA Restriction Enzymes, Drosophila melanogaster genetics, Nucleic Acid Hybridization, Chromosomes physiology, Cloning, Molecular, Transcription, Genetic
- Published
- 1982
- Full Text
- View/download PDF
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