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12 results on '"Felix Kokocinski"'

1. The GENCODE exome: sequencing the complete human exome

Author

Daniel J. Turner, Alison J. Coffey, Anna-Elina Lehesjoki, Aarno Palotie, Eleanor Drury, Priit Palta, Christopher J. Joyce, Sarah E. Hunt, Tim Hubbard, Carol Scott, Maria S Calafato, Emily M LeProust, Jen Harrow, and Felix Kokocinski

Subjects
Sequence analysis, Short Report, Genomics, Biology, Polymorphism, Single Nucleotide, Genome, Open Reading Frames, 03 medical and health sciences, 0302 clinical medicine, Consensus Sequence, Databases, Genetic, Genetics, Humans, Exome, Genetics (clinical), Exome sequencing, 030304 developmental biology, resequencing, GENCODE, 0303 health sciences, Genome, Human, Computational Biology, Exons, Sequence Analysis, DNA, human exome, Human genetics, 3. Good health, 030220 oncology & carcinogenesis, Human genome
Abstract

Sequencing the coding regions, the exome, of the human genome is one of the major current strategies to identify low frequency and rare variants associated with human disease traits. So far, the most widely used commercial exome capture reagents have mainly targeted the consensus coding sequence (CCDS) database. We report the design of an extended set of targets for capturing the complete human exome, based on annotation from the GENCODE consortium. The extended set covers an additional 5594 genes and 10.3 Mb compared with the current CCDS-based sets. The additional regions include potential disease genes previously inaccessible to exome resequencing studies, such as 43 genes linked to ion channel activity and 70 genes linked to protein kinase activity. In total, the new GENCODE exome set developed here covers 47.9 Mb and performed well in sequence capture experiments. In the sample set used in this study, we identified over 5000 SNP variants more in the GENCODE exome target (24%) than in the CCDS-based exome sequencing.

Published
2011
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2. The Ensembl gene annotation system

Author

Y. Amy Tang, Fergal J. Martin, Bronwen Aken, Daniel N. Murphy, Kevin L. Howe, Simon D. M. White, Sarah Ayling, Susan Fairley, Julio Fernandez Banet, Konstantinos Billis, Andreas Kähäri, Daniel Barrell, Thibaut Hourlier, Stephen M. J. Searle, Laura Clarke, Magali Ruffier, Carlos García Girón, Amonida Zadissa, Michael Schuster, Jan-Hinnerk Vogel, Rishi Nag, Paul Flicek, Valery Curwen, and Felix Kokocinski

Subjects
0301 basic medicine, Computer science, Computational biology, Vertebrate and Genome Annotation Project, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Mice, Ensembl, Animals, Humans, Biologiska vetenskaper, natural sciences, Databases, Protein, Biological sciences, Internet, Information retrieval, Molecular Sequence Annotation, Gene Annotation, Genome project, Biological Sciences, 030104 developmental biology, Database Update, General Agricultural and Biological Sciences, Databases, Nucleic Acid, Information Systems
Abstract

The Ensembl gene annotation system has been used to annotate over 70 different vertebrate species across a wide range of genome projects. Furthermore, it generates the automatic alignment-based annotation for the human and mouse GENCODE gene sets. The system is based on the alignment of biological sequences, including cDNAs, proteins and RNA-seq reads, to the target genome in order to construct candidate transcript models. Careful assessment and filtering of these candidate transcripts ultimately leads to the final gene set, which is made available on the Ensembl website. Here, we describe the annotation process in detail. Database URL: http://www.ensembl.org/index.html

Published
2016

3. Distribution patterns of segmental aneuploidies in human blastocysts identified by next-generation sequencing

Author

Carmen Rubio, E. Mateu, Carlos Simón, Lorena Rodrigo, Claude-Edouard Michel, Maria Vera-Rodriguez, Amparo Mercader, Nasser Al-Asmar, Felix Kokocinski, Alex J. Bladon, and David Blesa

Subjects
Adult, Male, 0301 basic medicine, Concordance, Aneuploidy, Reference laboratory, Biology, DNA sequencing, 03 medical and health sciences, 0302 clinical medicine, Pregnancy, medicine, Humans, Blastocyst, Preimplantation Diagnosis, Comparative Genomic Hybridization, 030219 obstetrics & reproductive medicine, High-Throughput Nucleotide Sequencing, Obstetrics and Gynecology, Fish analysis, Karyotype, medicine.disease, Molecular biology, 030104 developmental biology, medicine.anatomical_structure, Reproductive Medicine, embryonic structures, Female, Comparative genomic hybridization
Abstract

Objective To evaluate the ability of next-generation sequencing (NGS) to detect pure and mosaic segmental aneuploidies in trophectoderm biopsies and to identify distribution patterns in whole blastocysts. Design Validation study. Setting Reference laboratory. Patient(s) Seventy couples with known karyotypes who had undergone preimplantation genetic screening with diagnoses at the blastocyst stage using array comparative genomic hybridization (aCGH). Intervention(s) None. Main Outcome Measure(s) Concordance rates for segmental and whole-chromosome aneuploidies determined between aCGH and NGS, and estimates of mosaicism levels of segmental aneuploidies in fixed blastocysts. Result(s) We used NGS with amplified DNA from trophectoderm biopsies in which segmental aneuploidies had been previously detected by array comparative genomic hybridization (aCGH). Single-cell fluorescent in situ hybridization (FISH) was then used as an independent form of analysis. The concordance rate between NGS and aCGH was 124 (98.4%) of 126 for the detection of segmental aneuploidies, and 48 (96.0%) of 50 for whole-chromosome aneuploidies. The overall concordance rate was 99.8% (2,276 of 2,280 chromosomes assessed). After FISH analyses with 41.4 ± 24.3 cells per blastocyst, 26 (92.9%) of 28 segmentals detected by aCGH and NGS were confirmed. The FISH analysis did not detect the segmentals in two blastocysts, in which all cells analyzed were euploid. Conclusion(s) This is the first report analyzing distribution patterns of segmental aneuploidies in trophectoderm biopsy by NGS. We have demonstrated that NGS allows the detection of pure and mosaic segmental aneuploidies with the same efficiency as aCGH. The FISH analysis confirmed the existence of these events in the trophectoderm and the inner cell mass.

Published
2016
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4. An integrated encyclopedia of DNA elements in the human genome

Author

Robert Altshuler, Laura Elnitski, Michael Anaya, Alec Victorsen, Deborah Winter, Javier Herrero, Katherine Varley, Andrea Sboner, Oscar Junhong Luo, Marco Mariotti, Cristina Sisu, Mike Kay, Timothy Dreszer, Jane Loveland, Alexandra Bignell, Ewan Birney, Tim @timjph Hubbard, Kuljeet Sandhu, Eric Haugen, Chris Gunter, Alexej Abyzov, Lucas Ward, Georgi Marinov, Michael Pazin, Thomas Gingeras, Alexander Dobin, Kimberly Foss, Xianjun Dong, Benoit Miotto, Piotr Mieczkowski, Cedric Notredame, Andrew Berry, Shawn Gillespie, Axel Visel, Shawn Levy, Richard Sandstrom, Jose M Gonzalez, Melissa Fullwood, Timo Lassmann, Michael Tress, Julien Lagarde, Kevin Yip, Leslie Adams, Sylvain Foissac, Bronwen Aken, Piero Carninci, Suganthi Balasubramanian, Andrea Tanzer, Sarah Djebali, Michael Hoffman, Gloria Despacio-Reyes, Peter Park, Felix Kokocinski, Katherine Fisher-Aylor, Juan M Vaquerizas, Peggy Farnham, Patrick Collins, Amonida Zadissa, Pedro Ferreira, Philippe Batut, Michael Snyder, Electra Tapanari, Adam Frankish, Paul Flicek, AMARTYA SANYAL, Tyler Alioto, Giovanni Bussotti, Laurence Meyer, Jingyi Jessica Li, Matthew Blow, Tristan FRUM, Roger Alexander, Rory Johnson, Charles Steward, Meizhen Zheng, Margus Lukk, Ross Hardison, Claire Davidson, Gary Saunders, Alan Boyle, Luiz Penalva, Rajinder Kaul, Lazaro Centanin, Florencia Pauli Behn, Thomas Derrien, Nathan Sheffield, Toby Hunt, Eric Nguyen, Jeff Vierstra, Konrad Karczewski, Kimberly Bell, Yanbao Yu, Hagen U Tilgner, James Taylor, Balázs Bánfai, Catherine Snow, Benjamin Vernot, Stephan Kirchmaier, Michael Sammeth, Steven Wilder, Angelika Merkel, Joanna Mieczkowska, Guoliang Li, Wei Lin, Jennifer Harrow, Thomas Oliver Auer, Daniel Barrell, Eddie Park, Alvis Brazma, Hazuki Takahashi, Nathan Johnson, Daniel Sobral, Terry Furey, Alexandre Reymond, Jonathan Mudge, Anshul Kundaje, Jose Rodriguez, Akshay Bhinge, James Gilbert, Jakub Karczewski, Venkat Malladi, Troy Whitfield, Orion Buske, Ian Dunham, Jennifer Moran, Joachim Wittbrodt, Charles B. Epstein, Laurens Wilming, Jason Gertz, Joshua Akey, Joel Rozowsky, Laboratoire de Génétique Cellulaire (LGC), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Recherche Agronomique (INRA), National Human Genome Research Institute (NHGRI), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Antonarakis, Stylianos, Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Altshuler, Robert Charles, Ernst, Jason, Kellis, Manolis, Kheradpour, Pouya, Ward, Lucas D., Eaton, Matthew Lucas, Hendrix, David A., Jungreis, Irwin, Lin, Michael F., Washietl, Stefan, Lists of participants and their affiliations appear at the end of the paper and in the 'Collaboration/Projet' field., The Consortium is funded by grants from the NHGRI as follows: production grants: U54HG004570 (B. E. Bernstein), U01HG004695 (E. Birney), U54HG004563 (G. E. Crawford), U54HG004557 (T. R. Gingeras), U54HG004555 (T. J. Hubbard), U41HG004568 (W. J. Kent), U54HG004576 (R. M. Myers), U54HG004558 (M. Snyder), U54HG004592 (J. A. Stamatoyannopoulos). Pilot grants: R01HG003143 (J. Dekker), RC2HG005591 and R01HG003700 (M. C. Giddings), R01HG004456-03 (Y. Ruan), U01HG004571 (S. A. Tenenbaum), U01HG004561 (Z. Weng), RC2HG005679 (K. P. White). This project was supported in part by American Recovery and Reinvestment Act (ARRA) funds from the NHGRI through grants U54HG004570, U54HG004563, U41HG004568, U54HG004592, R01HG003143, RC2HG005591, R01HG003541,U01HG004561,RC2HG005679andR01HG003988(L. Pennacchio). In addition, work from NHGRI Groups was supported by the Intramural Research Program of the NHGRI (L. Elnitski, ZIAHG200323, E. H. Margulies, ZIAHG200341). Research in the Pennachio laboratory was performed at Lawrence Berkeley National Laboratory and at the United States Department of Energy Joint Genome Institute, Department of Energy Contract DE-AC02-05CH11231, University of California., Dunham I, Kundaje A, Aldred SF, Collins PJ, Davis CA, Doyle F, Epstein CB, Frietze S, Harrow J, Kaul R, Khatun J, Lajoie BR, Landt SG, Lee BK, Pauli F, Rosenbloom KR, Sabo P, Safi A, Sanyal A, Shoresh N, Simon JM, Song L, Trinklein ND, Altshuler RC, Birney E, Brown JB, Cheng C, Djebali S, Dong X, Dunham I, Ernst J, Furey TS, Gerstein M, Giardine B, Greven M, Hardison RC, Harris RS, Herrero J, Hoffman MM, Iyer S, Kellis M, Khatun J, Kheradpour P, Kundaje A, Lassmann T, Li Q, Lin X, Marinov GK, Merkel A, Mortazavi A, Parker SC, Reddy TE, Rozowsky J, Schlesinger F, Thurman RE, Wang J, Ward LD, Whitfield TW, Wilder SP, Wu W, Xi HS, Yip KY, Zhuang J, Pazin MJ, Lowdon RF, Dillon LA, Adams LB, Kelly CJ, Zhang J, Wexler JR, Green ED, Good PJ, Feingold EA, Bernstein BE, Birney E, Crawford GE, Dekker J, Elnitski L, Farnham PJ, Gerstein M, Giddings MC, Gingeras TR, Green ED, Guigó R, Hardison RC, Hubbard TJ, Kellis M, Kent W, Lieb JD, Margulies EH, Myers RM, Snyder M, Stamatoyannopoulos JA, Tenenbaum SA, Weng Z, White KP, Wold B, Khatun J, Yu Y, Wrobel J, Risk BA, Gunawardena HP, Kuiper HC, Maier CW, Xie L, Chen X, Giddings MC, Bernstein BE, Epstein CB, Shoresh N, Ernst J, Kheradpour P, Mikkelsen TS, Gillespie S, Goren A, Ram O, Zhang X, Wang L, Issner R, Coyne MJ, Durham T, Ku M, Truong T, Ward LD, Altshuler RC, Eaton ML, Kellis M, Djebali S, Davis CA, Merkel A, Dobin A, Lassmann T, Mortazavi A, Tanzer A, Lagarde J, Lin W, Schlesinger F, Xue C, Marinov GK, Khatun J, Williams BA, Zaleski C, Rozowsky J, Röder M, Kokocinski F, Abdelhamid RF, Alioto T, Antoshechkin I, Baer MT, Batut P, Bell I, Bell K, Chakrabortty S, Chen X, Chrast J, Curado J, Derrien T, Drenkow J, Dumais E, Dumais J, Duttagupta R, Fastuca M, Fejes-Toth K, Ferreira P, Foissac S, Fullwood MJ, Gao H, Gonzalez D, Gordon A, Gunawardena HP, Howald C, Jha S, Johnson R, Kapranov P, King B, Kingswood C, Li G, Luo OJ, Park E, Preall JB, Presaud K, Ribeca P, Risk BA, Robyr D, Ruan X, Sammeth M, Sandhu KS, Schaeffer L, See LH, Shahab A, Skancke J, Suzuki AM, Takahashi H, Tilgner H, Trout D, Walters N, Wang H, Wrobel J, Yu Y, Hayashizaki Y, Harrow J, Gerstein M, Hubbard TJ, Reymond A, Antonarakis SE, Hannon GJ, Giddings MC, Ruan Y, Wold B, Carninci P, Guigó R, Gingeras TR, Rosenbloom KR, Sloan CA, Learned K, Malladi VS, Wong MC, Barber GP, Cline MS, Dreszer TR, Heitner SG, Karolchik D, Kent W, Kirkup VM, Meyer LR, Long JC, Maddren M, Raney BJ, Furey TS, Song L, Grasfeder LL, Giresi PG, Lee BK, Battenhouse A, Sheffield NC, Simon JM, Showers KA, Safi A, London D, Bhinge AA, Shestak C, Schaner MR, Kim SK, Zhang ZZ, Mieczkowski PA, Mieczkowska JO, Liu Z, McDaniell RM, Ni Y, Rashid NU, Kim MJ, Adar S, Zhang Z, Wang T, Winter D, Keefe D, Birney E, Iyer VR, Lieb JD, Crawford GE, Li G, Sandhu KS, Zheng M, Wang P, Luo OJ, Shahab A, Fullwood MJ, Ruan X, Ruan Y, Myers RM, Pauli F, Williams BA, Gertz J, Marinov GK, Reddy TE, Vielmetter J, Partridge E, Trout D, Varley KE, Gasper C, Bansal A, Pepke S, Jain P, Amrhein H, Bowling KM, Anaya M, Cross MK, King B, Muratet MA, Antoshechkin I, Newberry KM, McCue K, Nesmith AS, Fisher-Aylor KI, Pusey B, DeSalvo G, Parker SL, Balasubramanian S, Davis NS, Meadows SK, Eggleston T, Gunter C, Newberry J, Levy SE, Absher DM, Mortazavi A, Wong WH, Wold B, Blow MJ, Visel A, Pennachio LA, Elnitski L, Margulies EH, Parker SC, Petrykowska HM, Abyzov A, Aken B, Barrell D, Barson G, Berry A, Bignell A, Boychenko V, Bussotti G, Chrast J, Davidson C, Derrien T, Despacio-Reyes G, Diekhans M, Ezkurdia I, Frankish A, Gilbert J, Gonzalez JM, Griffiths E, Harte R, Hendrix DA, Howald C, Hunt T, Jungreis I, Kay M, Khurana E, Kokocinski F, Leng J, Lin MF, Loveland J, Lu Z, Manthravadi D, Mariotti M, Mudge J, Mukherjee G, Notredame C, Pei B, Rodriguez JM, Saunders G, Sboner A, Searle S, Sisu C, Snow C, Steward C, Tanzer A, Tapanari E, Tress ML, van Baren MJ, Walters N, Washietl S, Wilming L, Zadissa A, Zhang Z, Brent M, Haussler D, Kellis M, Valencia A, Gerstein M, Reymond A, Guigó R, Harrow J, Hubbard TJ, Landt SG, Frietze S, Abyzov A, Addleman N, Alexander RP, Auerbach RK, Balasubramanian S, Bettinger K, Bhardwaj N, Boyle AP, Cao AR, Cayting P, Charos A, Cheng Y, Cheng C, Eastman C, Euskirchen G, Fleming JD, Grubert F, Habegger L, Hariharan M, Harmanci A, Iyengar S, Jin VX, Karczewski KJ, Kasowski M, Lacroute P, Lam H, Lamarre-Vincent N, Leng J, Lian J, Lindahl-Allen M, Min R, Miotto B, Monahan H, Moqtaderi Z, Mu XJ, O'Geen H, Ouyang Z, Patacsil D, Pei B, Raha D, Ramirez L, Reed B, Rozowsky J, Sboner A, Shi M, Sisu C, Slifer T, Witt H, Wu L, Xu X, Yan KK, Yang X, Yip KY, Zhang Z, Struhl K, Weissman SM, Gerstein M, Farnham PJ, Snyder M, Tenenbaum SA, Penalva LO, Doyle F, Karmakar S, Landt SG, Bhanvadia RR, Choudhury A, Domanus M, Ma L, Moran J, Patacsil D, Slifer T, Victorsen A, Yang X, Snyder M, Auer T, Centanin L, Eichenlaub M, Gruhl F, Heermann S, Hoeckendorf B, Inoue D, Kellner T, Kirchmaier S, Mueller C, Reinhardt R, Schertel L, Schneider S, Sinn R, Wittbrodt B, Wittbrodt J, Weng Z, Whitfield TW, Wang J, Collins PJ, Aldred SF, Trinklein ND, Partridge EC, Myers RM, Dekker J, Jain G, Lajoie BR, Sanyal A, Balasundaram G, Bates DL, Byron R, Canfield TK, Diegel MJ, Dunn D, Ebersol AK, Frum T, Garg K, Gist E, Hansen R, Boatman L, Haugen E, Humbert R, Jain G, Johnson AK, Johnson EM, Kutyavin TV, Lajoie BR, Lee K, Lotakis D, Maurano MT, Neph SJ, Neri FV, Nguyen ED, Qu H, Reynolds AP, Roach V, Rynes E, Sabo P, Sanchez ME, Sandstrom RS, Sanyal A, Shafer AO, Stergachis AB, Thomas S, Thurman RE, Vernot B, Vierstra J, Vong S, Wang H, Weaver MA, Yan Y, Zhang M, Akey JM, Bender M, Dorschner MO, Groudine M, MacCoss MJ, Navas P, Stamatoyannopoulos G, Kaul R, Dekker J, Stamatoyannopoulos JA, Dunham I, Beal K, Brazma A, Flicek P, Herrero J, Johnson N, Keefe D, Lukk M, Luscombe NM, Sobral D, Vaquerizas JM, Wilder SP, Batzoglou S, Sidow A, Hussami N, Kyriazopoulou-Panagiotopoulou S, Libbrecht MW, Schaub MA, Kundaje A, Hardison RC, Miller W, Giardine B, Harris RS, Wu W, Bickel PJ, Banfai B, Boley NP, Brown JB, Huang H, Li Q, Li JJ, Noble WS, Bilmes JA, Buske OJ, Hoffman MM, Sahu AD, Kharchenko PV, Park PJ, Baker D, Taylor J, Weng Z, Iyer S, Dong X, Greven M, Lin X, Wang J, Xi HS, Zhuang J, Gerstein M, Alexander RP, Balasubramanian S, Cheng C, Harmanci A, Lochovsky L, Min R, Mu XJ, Rozowsky J, Yan KK, Yip KY, Birney E., and Miotto, Benoit

Subjects
Encyclopedias as Topic, [SDV]Life Sciences [q-bio], DNA Footprinting, Genoma humà, Binding Sites/genetics, Histones/chemistry/metabolism, 0302 clinical medicine, Exons/genetics, ddc:576.5, 0303 health sciences, Multidisciplinary, [SDV.MHEP] Life Sciences [q-bio]/Human health and pathology, [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], DNA-Binding Proteins/metabolism, region, Chemistry, Genetic Predisposition to Disease/genetics, Genomics, Polymorphism, Single Nucleotide/genetics, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Neoplasms/genetics, Chromatin, Cell biology, in vivo, Genetic Variation/genetics, 030220 oncology & carcinogenesis, Deoxyribonuclease I/metabolism, Proteins/genetics, transcription factor-binding, chromosome conformation capture, DNA Methylation/genetics, Chromosomes, Human/genetics/metabolism, Chromatin Immunoprecipitation, Mammals/genetics, DNA/genetics, determinant, Article, 03 medical and health sciences, map, Animals, Humans, Transcription Factors/metabolism, Alleles, mouse, 030304 developmental biology, Transcription, Genetic/genetics, Chromatin/genetics/metabolism, Sequence Analysis, RNA, human cell, Molecular Sequence Annotation, Regulatory Sequences, Nucleic Acid/genetics, Promoter Regions, Genetic/genetics, DNA binding site, Genòmica, Genome, Human/genetics, chromatin, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology, Genètica, Genome-Wide Association Study
Abstract

The human genome encodes the blueprint of life, but the function of the vast majority of its nearly three billion bases is unknown. The Encyclopedia of DNA Elements (ENCODE) project has systematically mapped regions of transcription, transcription factor association, chromatin structure and histone modification. These data enabled us to assign biochemical functions for 80% of the genome, in particular outside of the well-studied protein-coding regions. Many discovered candidate regulatory elements are physically associated with one another and with expressed genes, providing new insights into the mechanisms of gene regulation. The newly identified elements also show a statistical correspondence to sequence variants linked to human disease, and can thereby guide interpretation of this variation. Overall, the project provides new insights into the organization and regulation of our genes and genome, and is an expansive resource of functional annotations for biomedical research. The Consortium is funded by grants from the NHGRI as follows: production grants: U54HG004570 (B. E. Bernstein); U01HG004695 (E. Birney); U54HG004563 (G. E. Crawford); U54HG004557 (T. R. Gingeras); U54HG004555 (T. J. Hubbard); U41HG004568 /n(W. J. Kent); U54HG004576 (R. M. Myers); U54HG004558 (M. Snyder);/nU54HG004592 (J. A. Stamatoyannopoulos). Pilot grants: R01HG003143 (J. Dekker); RC2HG005591 and R01HG003700 (M. C. Giddings); R01HG004456-03 (Y. Ruan); U01HG004571 (S. A. Tenenbaum); U01HG004561 (Z. Weng); RC2HG005679 (K. P. White). This project was supported in part by American Recovery and/nReinvestment Act (ARRA) funds from the NHGRI through grants U54HG004570, U54HG004563, U41HG004568, U54HG004592, R01HG003143, RC2HG005591,R01HG003541, U01HG004561, RC2HG005679andR01HG003988(L. Pennacchio). In addition, work from NHGRI Groups was supported by the Intramural Research/nProgram of the NHGRI (L. Elnitski, ZIAHG200323; E. H. Margulies, ZIAHG200341). Research in the Pennachio laboratory was performed at Lawrence Berkeley National Laboratory and at the United States Department of Energy Joint Genome Institute, Department of Energy Contract DE-AC02-05CH11231, University of California.

Published
2012
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5. Landscape of transcription in human cells

Author

Tyler Alioto, Colin Kingswood, Lorian Schaffer, Sylvain Foissac, Kimberly Bell, Diane Trout, Wei Lin, Nathalie Walters, Thomas R. Gingeras, Oscar Junhong Luo, Pedro G. Ferreira, Atif Shahab, Assaf Gordon, Kata Fejes-Toth, Joao Curado, Jacqueline Chrast, Thomas Derrien, Georgi K. Marinov, Hazuki Takahashi, Alexander Dobin, Nadav Bar, Lei-Hoon See, Morgan C. Giddings, Erica Dumais, Michael Sammeth, Philipp Kapranov, Jainab Khatun, Meagan Fastuca, Jørgen Skancke, Ian Bell, Emilie Falconnet, Roderic Guigó, Huaien Wang, Kimberly Persaud, Alexandre Reymond, Carrie A. Davis, Xiaoan Ruan, Rehab F. Abdelhamid, Daniel Robyr, Joel Rozowsky, Ana Maria Suzuki, Sonali Jha, Marion S. Röder, Sudipto K. Chakrabortty, Brian A. Risk, Hagen Tilgner, Eddie Park, Stylianos E. Antonarakis, Piero Carninci, Hui Gao, Sarah Djebali, Timo Lassmann, Andrea Tanzer, Philippe Batut, Cédric Howald, Yanbao Yu, Ali Mortazavi, Felix Kokocinski, Jennifer Harrow, Mark Gerstein, Melissa J. Fullwood, Chenghai Xue, Gregory J. Hannon, Xian Chen, Igor Antoshechkin, Yoshihide Hayashizaki, Brian A. Williams, Chris Zaleski, John A. Wrobel, Radha Duttagupta, Barbara J. Wold, Julien Lagarde, David Gonzalez, Yijun Ruan, Tim Hubbard, Angelika Merkel, Rory Johnson, Jonathan B. Preall, Jorg Drenkow, Brandon King, Paolo Ribeca, Harsha P. Gunawardena, Jacqueline Dumais, Felix Schlesinger, Michael T. Baer, Centre for Genomic Regulation, Barcelona Institute of Science and Technology (BIST), Universitat Pompeu Fabra [Barcelona] (UPF), Cold Spring Harbor Laboratory, Riken Yokohama Institute, California Institute of Technology (CALTECH), University of California [Irvine] (UCI), University of California, Boise State University, Yale University [New Haven], The Wellcome Trust Sanger Institute [Cambridge], Centro Nacional de Analisis Genomico [Barcelona] (CNAG), Norwegian University of Science and Technology [Trondheim] (NTNU), Norwegian University of Science and Technology (NTNU), Affymetrix Inc., University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC), Université de Lausanne (UNIL), Laboratoire de Génétique Cellulaire (LGC), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, University of Geneva [Switzerland], (IGE3 Inst Genet & Genom Geneva), University of Geneva Medical School, Genome Institute of Singapore (GIS), St Laurent Institut, Falconnet, Emilie, Robyr, Daniel, Reymond, Alexandre, Antonarakis, Stylianos, Universitat Pompeu Fabra [Barcelona], Ecole Nationale Vétérinaire de Toulouse (ENVT), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Recherche Agronomique (INRA)

Subjects
Encyclopedias as Topic, Repetitive Sequences, Nucleic Acid/genetics, Polyadenylation, [SDV]Life Sciences [q-bio], Genoma humà, Genome, Repetitive Sequences, RNA Editing/genetics, 0302 clinical medicine, Exons/genetics, Protein Isoforms, RNA/biosynthesis/genetics, ddc:576.5, RNA Splicing/genetics, Genetics, 0303 health sciences, Multidisciplinary, Exons, Genomics, Transcriptome/genetics, Long non-coding RNA, Enhancer Elements, Genetic, 030220 oncology & carcinogenesis, Sequence Analysis, Transcription, Human, Enhancer Elements, General Science & Technology, 1.1 Normal biological development and functioning, RNA Splicing, DNA, Intergenic/genetics, Computational biology, DNA/genetics, Biology, Article, Cell Line, 03 medical and health sciences, Genetic, Underpinning research, Protein Isoforms/genetics, map, expression, Humans, Genes/genetics, genome, Gene, Alleles, Transcription, Genetic/genetics, 030304 developmental biology, Intergenic, Nucleic Acid, small rnas, Sequence Analysis, RNA, Gene Expression Profiling, Human Genome, RNA, Molecular Sequence Annotation, DNA, Regulatory Sequences, Nucleic Acid/genetics, Gene expression profiling, Genes, Genome, Human/genetics, Polyadenylation/genetics, RNA/biosynthesis, RNA/genetics, enhancer, identification, Human genome, Generic health relevance, RNA Editing, Transcriptome, Regulatory Sequences, Genètica
Abstract

Eukaryotic cells make many types of primary and processed RNAs that are found either in specific subcellular compartments or throughout the cells. A complete catalogue of these RNAs is not yet available and their characteristic subcellular localizations are also poorly understood. Because RNA represents the direct output of the genetic information encoded by genomes and a significant proportion of a cell's regulatory capabilities are focused on its synthesis, processing, transport, modification and translation, the generation of such a catalogue is crucial for understanding genome function. Here we report evidence that three-quarters of the human genome is capable of being transcribed, as well as observations about the range and levels of expression, localization, processing fates, regulatory regions and modifications of almost all currently annotated and thousands of previously unannotated RNAs. These observations, taken together, prompt a redefinition of the concept of a gene. This work was supported by the National Human Genome Research Institute (NHGRI) production grants U54HG004557, U54HG004555, U54HG004576 and U54HG004558, and by the NHGRI pilot grant R01HG003700. It was also supported by the NHGRI ARRA stimulus grant 1RC2HG005591, the National Science Foundation (SNF) grant 127375, the European Research Council (ERC) grant/n249968, a research grant for the RIKEN Omics Science Center from the Japanese Ministry of Education, Culture, Sports, Science and Technology, and grants BIO2011-26205, CSD2007-00050 and INB GNV-1 from the Spanish Ministry of Science

Published
2012
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6. A User's Guide to the Encyclopedia of DNA Elements (ENCODE)

Author

Zhi Lu, Giltae Song, Troy W. Whitfield, Vishwanath R. Iyer, Teresa Vales, Angelika Merkel, Max Libbrecht, David Haussler, Ting Wang, Kristen Lee, Lingyun Song, Richard M. Myers, Alfonso Valencia, Rachel A. Harte, Xiaoqin Xu, Lucas D. Ward, Hazuki Takahashi, Nathan C. Sheffield, Thomas Derrien, Georgi K. Marinov, Eric D. Nguyen, Bernard B. Suh, Brian J. Raney, Richard Sandstrom, Thomas D. Tullius, Benoit Miotto, Alexander Dobin, Youhan Xu, Lukas Habegger, Ian Dunham, Brian A. Risk, Paul G. Giresi, Morgan C. Giddings, Hualin Xi, Anshul Kundaje, Robert S. Harris, Devin Absher, Peter J. Bickel, Yanbao Yu, Browen Aken, Colin Kingswood, Bryan R. Lajoie, Peter J. Good, Katrina Learned, Laura Elnitski, Shirley Pepke, Brandon King, Piero Carninci, Xinqiong Yang, Ghia Euskirchen, Kathryn Beal, Christelle Borel, Michael Muratet, Robert L. Grossman, David G. Knowles, Zarmik Moqtaderi, Veronika Boychenko, Steven P. Wilder, Michael L. Tress, Florencia Pauli, Alan P. Boyle, Andrea Tanzer, Philipp Kapranov, Serafim Batzoglou, Audra K. Johnson, Jun Neri, Nitin Bhardwaj, Elise A. Feingold, Venkat S. Malladi, Michael M. Hoffman, William Stafford Noble, Andrea Sboner, Mark Gerstein, Stephanie L. Parker, Jacqueline Dumais, Felix Schlesinger, Deborah R. Winter, Randall H. Brown, Thanh Truong, Rebecca F. Lowdon, Paolo Ribeca, Brooke Rhead, Peggy J. Farnham, Krista Thibeault, Terrence S. Furey, Donna Karolchik, Alec Victorsen, Xiaoan Ruan, Rehab F. Abdelhamid, Amy S. Nesmith, Jing Wang, Nicholas M. Luscombe, Alina R. Cao, Diane Trout, Teri Slifer, Peter E. Newburger, Cricket A. Sloan, Dimitra Lotakis, Stephen M. J. Searle, Ali Mortazavi, Alexandra Bignell, Alex Reynolds, Orion J. Buske, Chris Zaleski, Theresa K. Canfield, Ian Bell, Jin Lian, Vanessa K. Swing, Katalin Toth Fejes, Catherine Ucla, Robert E. Thurman, Jacqueline Chrast, Wei Lin, Tim Hubbard, Gary Saunders, Minyi Shi, Vihra Sotirova, Sherman M. Weissman, Jason D. Lieb, Richard Humbert, Kevin M. Bowling, Assaf Gordon, Tarjei S. Mikkelsen, Jing Leng, Thomas R. Gingeras, Fabian Grubert, Nader Jameel, Jost Vielmetter, Hannah Monahan, Preti Jain, Lindsay L. Waite, Tony Shafer, Joel Rozowsky, Michael Coyne, Brian Reed, M. Kay, Harsha P. Gunawardena, Ross C. Hardison, Gavin Sherlock, Alexandra Charos, Joseph D. Fleming, Ann S. Zweig, Jason Gertz, Rajinder Kaul, Xianjun Dong, Alexandre Reymond, Carrie A. Davis, Haiyan Huang, Chao Cheng, Marco Mariotti, Phil Lacroute, Jason A. Dilocker, Kenneth McCue, R. Robilotto, Stylianos E. Antonarakis, Sridar V. Chittur, Justin Jee, Barbara J. Wold, Sudipto K. Chakrabortty, Erica Dumais, Amartya Sanyal, Nathan Boley, Tianyuan Wang, Julien Lagarde, Anthony Kirilusha, Jonathan B. Preall, Kevin Roberts, Erika Giste, Hugo Y. K. Lam, Alvis Brazma, Gregory J. Hannon, Eric Rynes, Philippe Batut, Kevin Struhl, Margus Lukk, Manching Ku, Suganthi Balasubramanian, Sonali Jha, Jorg Drenkow, W. James Kent, Michael Snyder, Jie Wang, Anna Battenhouse, Charles B. Epstein, Rami Rauch, Christopher Shestak, John A. Stamatoyannopoulos, Gaurab Mukherjee, Cédric Howald, Tanya Kutyavin, Huaien Wang, Scott A. Tenenbaum, Wan Ting Poh, Kate R. Rosenbloom, Manolis Kellis, Pauline A. Fujita, Linfeng Wu, Anita Bansal, Molly Weaver, Linda L. Grasfeder, Peter J. Sabo, Qiang Li, Melissa S. Cline, Robert M. Kuhn, Darin London, Seth Frietze, Atif Shahab, Shane Neph, Damian Keefe, James B. Brown, Mark Diekhans, Webb Miller, Katherine Aylor Fisher, Jiang Du, Hadar H. Sheffer, Sarah Djebali, Frank Doyle, Nathan Lamarre-Vincent, Chia-Lin Wei, Laura A.L. Dillon, Jennifer Harrow, Robert C. Altshuler, Tyler Alioto, Raymond K. Auerbach, Adam Frankish, Rebekka O. Sprouse, Patrick J. Collins, E. Christopher Partridge, Zheng Liu, Yoichiro Shibata, Elliott H. Margulies, Abigail K. Ebersol, Kimberly A. Showers, Eric D. Green, Krishna M. Roskin, Job Dekker, Barbara N. Pusey, Ekta Khurana, Gilberto DeSalvo, Yijun Ruan, Hao Wang, Jainab Khatun, Henriette O'Geen, Alexej Abyzov, Brian Williams, Ryan M. McDaniell, Maya Kasowski, Manoj Hariharan, Felix Kokocinski, Gloria Despacio-Reyes, Zhancheng Zhang, Subhradip Karmakar, Ewan Birney, Koon-Kiu Yan, Xian Chen, Shinny Vong, Daniel Sobral, Nick Bild, Seul K.C. Kim, Timo Lassmann, Li Wang, Minerva E. Sanchez, Vaughan Roach, Theodore Gibson, Stephen C. J. Parker, Michael F. Lin, Patrick A. Navas, Laurence R. Meyer, Luiz O. F. Penalva, Bradley E. Bernstein, Kevin P. White, Emilie Aït Yahya Graison, Juan M. Vaquerizas, Sushma Iyengar, Kimberly M. Newberry, Akshay Bhinge, Xiaolan Zhang, Kim Bell, Yoshihide Hayashizaki, Lucas Lochovsky, Noam Shoresh, Hagen Tilgner, Philip Cayting, Dorrelyn Patacsil, Timothy E. Reddy, Eric Haugen, Katherine E. Varley, M. van Baren, Nathan D. Trinklein, Bum Kyu Lee, Tristan Frum, Marianne Lindahl-Allen, Timothy Durham, Roderic Guigó, Christopher W. Maier, Micha Sammeth, Debasish Raha, Timothy R. Dreszer, Benedict Paten, Robbyn Issner, Michael R. Brent, Kevin Y. Yip, Kim Blahnik, Jason Ernst, Zhiping Weng, Henry Amrhein, Arend Sidow, Javier Herrero, Hui Gao, Stephen G. Landt, Pouya Kheradpour, Galt P. Barber, Gregory E. Crawford, Toby Hunt, HudsonAlpha Institute for Biotechnology [Huntsville, AL], ENCODE Project Consortium : Myers RM, Stamatoyannopoulos J, Snyder M, Dunham I, Hardison RC, Bernstein BE, Gingeras TR, Kent WJ, Birney E, Wold B, Crawford GE, Bernstein BE, Epstein CB, Shoresh N, Ernst J, Mikkelsen TS, Kheradpour P, Zhang X, Wang L, Issner R, Coyne MJ, Durham T, Ku M, Truong T, Ward LD, Altshuler RC, Lin MF, Kellis M, Gingeras TR, Davis CA, Kapranov P, Dobin A, Zaleski C, Schlesinger F, Batut P, Chakrabortty S, Jha S, Lin W, Drenkow J, Wang H, Bell K, Gao H, Bell I, Dumais E, Dumais J, Antonarakis SE, Ucla C, Borel C, Guigo R, Djebali S, Lagarde J, Kingswood C, Ribeca P, Sammeth M, Alioto T, Merkel A, Tilgner H, Carninci P, Hayashizaki Y, Lassmann T, Takahashi H, Abdelhamid RF, Hannon G, Fejes-Toth K, Preall J, Gordon A, Sotirova V, Reymond A, Howald C, Graison E, Chrast J, Ruan Y, Ruan X, Shahab A, Ting Poh W, Wei CL, Crawford GE, Furey TS, Boyle AP, Sheffield NC, Song L, Shibata Y, Vales T, Winter D, Zhang Z, London D, Wang T, Birney E, Keefe D, Iyer VR, Lee BK, McDaniell RM, Liu Z, Battenhouse A, Bhinge AA, Lieb JD, Grasfeder LL, Showers KA, Giresi PG, Kim SK, Shestak C, Myers RM, Pauli F, Reddy TE, Gertz J, Partridge EC, Jain P, Sprouse RO, Bansal A, Pusey B, Muratet MA, Varley KE, Bowling KM, Newberry KM, Nesmith AS, Dilocker JA, Parker SL, Waite LL, Thibeault K, Roberts K, Absher DM, Wold B, Mortazavi A, Williams B, Marinov G, Trout D, Pepke S, King B, McCue K, Kirilusha A, DeSalvo G, Fisher-Aylor K, Amrhein H, Vielmetter J, Sherlock G, Sidow A, Batzoglou S, Rauch R, Kundaje A, Libbrecht M, Margulies EH, Parker SC, Elnitski L, Green ED, Hubbard T, Harrow J, Searle S, Kokocinski F, Aken B, Frankish A, Hunt T, Despacio-Reyes G, Kay M, Mukherjee G, Bignell A, Saunders G, Boychenko V, Van Baren M, Brown RH, Khurana E, Balasubramanian S, Zhang Z, Lam H, Cayting P, Robilotto R, Lu Z, Guigo R, Derrien T, Tanzer A, Knowles DG, Mariotti M, James Kent W, Haussler D, Harte R, Diekhans M, Kellis M, Lin M, Kheradpour P, Ernst J, Reymond A, Howald C, Graison EA, Chrast J, Tress M, Rodriguez JM, Snyder M, Landt SG, Raha D, Shi M, Euskirchen G, Grubert F, Kasowski M, Lian J, Cayting P, Lacroute P, Xu Y, Monahan H, Patacsil D, Slifer T, Yang X, Charos A, Reed B, Wu L, Auerbach RK, Habegger L, Hariharan M, Rozowsky J, Abyzov A, Weissman SM, Gerstein M, Struhl K, Lamarre-Vincent N, Lindahl-Allen M, Miotto B, Moqtaderi Z, Fleming JD, Newburger P, Farnham PJ, Frietze S, O'Geen H, Xu X, Blahnik KR, Cao AR, Iyengar S, Stamatoyannopoulos JA, Kaul R, Thurman RE, Wang H, Navas PA, Sandstrom R, Sabo PJ, Weaver M, Canfield T, Lee K, Neph S, Roach V, Reynolds A, Johnson A, Rynes E, Giste E, Vong S, Neri J, Frum T, Johnson EM, Nguyen ED, Ebersol AK, Sanchez ME, Sheffer HH, Lotakis D, Haugen E, Humbert R, Kutyavin T, Shafer T, Dekker J, Lajoie BR, Sanyal A, James Kent W, Rosenbloom KR, Dreszer TR, Raney BJ, Barber GP, Meyer LR, Sloan CA, Malladi VS, Cline MS, Learned K, Swing VK, Zweig AS, Rhead B, Fujita PA, Roskin K, Karolchik D, Kuhn RM, Haussler D, Birney E, Dunham I, Wilder SP, Keefe D, Sobral D, Herrero J, Beal K, Lukk M, Brazma A, Vaquerizas JM, Luscombe NM, Bickel PJ, Boley N, Brown JB, Li Q, Huang H, Gerstein M, Habegger L, Sboner A, Rozowsky J, Auerbach RK, Yip KY, Cheng C, Yan KK, Bhardwaj N, Wang J, Lochovsky L, Jee J, Gibson T, Leng J, Du J, Hardison RC, Harris RS, Song G, Miller W, Haussler D, Roskin K, Suh B, Wang T, Paten B, Noble WS, Hoffman MM, Buske OJ, Weng Z, Dong X, Wang J, Xi H, Tenenbaum SA, Doyle F, Penalva LO, Chittur S, Tullius TD, Parker SC, White KP, Karmakar S, Victorsen A, Jameel N, Bild N, Grossman RL, Snyder M, Landt SG, Yang X, Patacsil D, Slifer T, Dekker J, Lajoie BR, Sanyal A, Weng Z, Whitfield TW, Wang J, Collins PJ, Trinklein ND, Partridge EC, Myers RM, Giddings MC, Chen X, Khatun J, Maier C, Yu Y, Gunawardena H, Risk B, Feingold EA, Lowdon RF, Dillon LA, Good PJ, Harrow J, Searle S., Becker, Peter B, Broad Institute of MIT and Harvard, Lincoln Laboratory, Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. Department of Physics, Kellis, Manolis, Epstein, Charles B., Bernstein, Bradley E., Shoresh, Noam, Ernst, Jason, Mikkelsen, Tarjei Sigurd, Kheradpour, Pouya, Zhang, Xiaolan, Wang, Li, Issner, Robbyn, Coyne, Michael J., Durham, Timothy, Ku, Manching, Truong, Thanh, Ward, Lucas D., Altshuler, Robert Charles, Lin, Michael F., ENCODE Project Consortium, Antonarakis, Stylianos, and Miotto, Benoit

Subjects
RNA, Messenger/genetics, [SDV]Life Sciences [q-bio], Messenger, Genoma humà, Genome, Medical and Health Sciences, 0302 clinical medicine, Models, ddc:576.5, Biology (General), Conserved Sequence, Genetics, 0303 health sciences, General Neuroscience, RNA-Binding Proteins, Genomics, Biological Sciences, Chromatin, 3. Good health, [SDV] Life Sciences [q-bio], DNA-Binding Proteins, Gene Components, 030220 oncology & carcinogenesis, DNA methylation, Encyclopedia, HIV/AIDS, Proteïnes de la sang -- Aspectes genètics, General Agricultural and Biological Sciences, Databases, Nucleic Acid, Human, Research Article, Quality Control, Process (engineering), QH301-705.5, 1.1 Normal biological development and functioning, Computational biology, Biology, ENCODE, General Biochemistry, Genetics and Molecular Biology, Chromatin/metabolism, Vaccine Related, 03 medical and health sciences, Databases, Genetic, Underpinning research, Humans, RNA, Messenger, RNA-Binding Proteins/genetics/metabolism, Vaccine Related (AIDS), Gene, 030304 developmental biology, Internet, General Immunology and Microbiology, Nucleic Acid, Agricultural and Veterinary Sciences, Base Sequence, Models, Genetic, Genome, Human, Prevention, Human Genome, Computational Biology, DNA Methylation, ENCODE Project Consortium, Gene Expression Regulation, DNA-Binding Proteins/genetics/metabolism, RNA, Human genome, Immunization, Generic health relevance, Developmental Biology
Abstract

The mission of the Encyclopedia of DNA Elements (ENCODE) Project is to enable the scientific and medical communities to interpret the human genome sequence and apply it to understand human biology and improve health. The ENCODE Consortium is integrating multiple technologies and approaches in a collective effort to discover and define the functional elements encoded in the human genome, including genes, transcripts, and transcriptional regulatory regions, together with their attendant chromatin states and DNA methylation patterns. In the process, standards to ensure high-quality data have been implemented, and novel algorithms have been developed to facilitate analysis. Data and derived results are made available through a freely accessible database. Here we provide an overview of the project and the resources it is generating and illustrate the application of ENCODE data to interpret the human genome., National Human Genome Research Institute (U.S.), National Institutes of Health (U.S.)

Published
2011
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7. AnnoTrack - a tracking system for genome annotation

Author

Tim Hubbard, Jennifer Harrow, and Felix Kokocinski

Subjects
lcsh:QH426-470, lcsh:Biotechnology, Biology, Vertebrate and Genome Annotation Project, Genome, 03 medical and health sciences, Annotation, Software, lcsh:TP248.13-248.65, Databases, Genetic, Genetics, Humans, 030304 developmental biology, 0303 health sciences, Genome, Human, business.industry, 030302 biochemistry & molecular biology, Molecular Sequence Annotation, Tracking system, Genome project, Data science, lcsh:Genetics, Human genome, business, Biotechnology
Abstract

Background As genome sequences are determined for increasing numbers of model organisms, demand has grown for better tools to facilitate unified genome annotation efforts by communities of biologists. Typically this process involves numerous experts from the field and the use of data from dispersed sources as evidence. This kind of collaborative annotation project requires specialized software solutions for efficient data tracking and processing. Results As part of the scale-up phase of the ENCODE project (Encyclopedia of DNA Elements), the aim of the GENCODE project is to produce a highly accurate evidence-based reference gene annotation for the human genome. The AnnoTrack software system was developed to aid this effort. It integrates data from multiple distributed sources, highlights conflicts and facilitates the quick identification, prioritisation and resolution of problems during the process of genome annotation. Conclusions AnnoTrack has been in use for the last year and has proven a very valuable tool for large-scale genome annotation. Designed to interface with standard bioinformatics components, such as DAS servers and Ensembl databases, it is easy to setup and configure for different genome projects. The source code is available at http://annotrack.sanger.ac.uk.

Published
2010
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8. Ensembl's 10th year

Author

Syed Haider, Michael Schuster, Y. Amy Tang, Peter Clapham, James Smith, Julio Fernandez-Banet, Javier Herrero, Benoit Ballester, Gautier Koscielny, Karyn Megy, Steven P. Wilder, William M. McLaren, Bert Overduin, Martin Hammond, Felix Kokocinski, Nathan Johnson, Anne Parker, Simon D. M. White, Leo Gordon, Kerstin Howe, Richard Durbin, Yuan Chen, Damian Smedley, Stephen M. J. Searle, Ian Longden, Andreas Kähäri, Rhoda Kinsella, Albert J. Vilella, Stephen J. Trevanion, Bethan Pritchard, Eugene Kulesha, Ian Dunham, Tim Hubbard, Kathryn Beal, Xosé M. Fernández-Suárez, Paul Flicek, Magali Ruffier, Daniel Lawson, Tim Massingham, Damian Keefe, Susan Fairley, Stephen Fitzgerald, Amonida Zadissa, Eugene Bragin, Guy Coates, Simon Brent, Glenn Proctor, Giulietta Spudich, Jan Hinnerk Vogel, Bronwen Aken, Stephen Keenan, Stefan Gräf, Fiona Cunningham, Guy Slater, Daniel Rios, Ewan Birney, Andrew M. Jenkinson, Spinelli, Lionel, European Bioinformatics Institute [Hinxton] (EMBL-EBI), and EMBL Heidelberg

Subjects
Information Storage and Retrieval, Genomics, Computational biology, Genome browser, Genome, Access to Information, 03 medical and health sciences, 0302 clinical medicine, Species Specificity, Databases, Genetic, Genetics, Ensembl, Animals, Humans, Databases, Protein, Zebra finch, Zebrafish, ComputingMilieux_MISCELLANEOUS, 030304 developmental biology, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM], 0303 health sciences, Internet, biology, Computational Biology, Genetic Variation, Gene Annotation, Articles, biology.organism_classification, Protein Structure, Tertiary, 030220 oncology & carcinogenesis, Genomic information, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Databases, Nucleic Acid, Software
Abstract

Ensembl (http://www.ensembl.org) integrates genomic information for a comprehensive set of chordate genomes with a particular focus on resources for human, mouse, rat, zebrafish and other high-value sequenced genomes. We provide complete gene annotations for all supported species in addition to specific resources that target genome variation, function and evolution. Ensembl data is accessible in a variety of formats including via our genome browser, API and BioMart. This year marks the tenth anniversary of Ensembl and in that time the project has grown with advances in genome technology. As of release 56 (September 2009), Ensembl supports 51 species including marmoset, pig, zebra finch, lizard, gorilla and wallaby, which were added in the past year. Major additions and improvements to Ensembl since our previous report include the incorporation of the human GRCh37 assembly, enhanced visualisation and data-mining options for the Ensembl regulatory features and continued development of our software infrastructure.

Published
2010

9. The genome sequence of taurine cattle: A window to ruminant biology and evolution

Author

Heather M Deobald, Gerald R. Fowler, Clay Davis, Judith Herdandez, Donna Maglott, Lin Chen, Gonzalo Rincon, Darren E. Hagen, James T. Warren, Evgenia V. Kriventseva, Ingrid Olsaker, Debora L. Hamernik, Charles Moen, Oliver C. Jann, Yuri Kapustin, Erdogan Memili, Timothy Connelley, Ling Ling Pu, Terhi Iso-Touru, Gemma Marie Payne, Ye Cheng, Amy Egan, Alexandre Reymond, Aniko Sabo, J. Bruce German, Jason R. Grant, Joseph Chacko, Ronnie D. Green, Isabel Kinney Ferreira de Miranda Santos, Raffaele Mazza, A.J. Molenaar, Richard A. Moore, Christian J. Buhay, Henry Song, Cham G. Kumar, Marion L. Greaser, Hasan Khatib, Harris A. Lewin, Olga Ermolaeva, Jonathan V. Sweedler, Steven J.M. Jones, Rosemeire Conceição Parra Pastor, Paul Stothard, Adam J. Colley, Antti Livanainen, Francesca Panzitta, Dan Graur, Aaron Ingham, David L. Adelson, Timothy P. L. Smith, Shirley A. Ellis, Andy Cree, Jingkun Zhang, Carolyn T.A. Herzig, Jason Goodell, Colette A. Abbey, Feng-Qi Zhao, Mimi M. Chandrabose, Ross L. Tellam, Alex Astashyn, Yanru Ren, Laura Elnitski, Bella Mayurkumar Patel, Sem Genini, Lassudara G. Almeida, Jacqueline E. Schein, Theresa Casey, Hanni Salih, José Fernando Garcia, Zhiquan Wang, Carolyn Fitzsimmons, Evan E. Eichler, Ngoc Nguyen, Kaitlin E. Donohue, Ariel Fernando Amadio, Clayton R. Boldt, John C. McEwan, Juan Manuel Anzola, Francisco Câmara, Shoba Ranganathan, Eran Elhaik, Stefan Hiendleder, George M. Weinstock, Lora Lewis, Jeremy F. Taylor, Dimos Kapetis, Andrew J. Roberts, Lee Alexander, Nelida Rodriguez-Osorio, Alexandre Souvorov, Justin C. Lee, Bruce R. Southey, Boris Kiryutin, Michael Holder, Xiang Qin, Warren M. Snelling, Abhirami Ratnakumar, Marcelo Fábio Gouveia Nogueira, Angela K. Walker, Hatam A. Hakimov, Fernando H. Biase, Roderic Guigó, Shannon Dugan-Rocha, Sean McWilliam, Rex Lee Williams, Jacqueline Chrast, Huyen Dinh, Robert C. Edgar, Huaiyang Jiang, Justin T. Reese, John W. Keele, George E. Liu, Yufeng Shen, Jireh Santibanez, Kim C. Worley, Sandra L. Lee, Sari S. Khalil, Marta Hernández, Stephen N. White, Suria M. Bahadue, Changxi Li, Kim D. Pruitt, Kirsty Jensen, C. Michael Dickens, Jung-Woo Choi, Jennifer Harrow, Tatiana A. DeCampos, Richard A. Gibbs, Ryan J. Lozado, Yoshikazu Sugimoto, Sigbjam Lien, Anna K. Bennett, Curtis P. Van Tassell, Eve Devinoy, Gustavo Garcia, R. Baxter, Satyanarayana Rachagani, Kevin K. Lahmers, Stylianos E. Antonarakis, D. Kolbehdari, Cynthia L. Baldwin, Lillian Sando, Darryl L. Hadsell, Elen Anatriello, Ze Cheng, Richard C. Waterman, Paul Havlak, Peter Dove, Laura Sherman, Wes Barris, Imke Tammen, Geoffrey Okwuonu, Jennifer Hume, Denis M. Larkin, Robert D. Schnabel, Zhi-Liang Hu, Evgeny M. Zdobnov, Danielle G. Lemay, Stephanie Bell, Roberto Malinverni, Jiuzhou Song, David Steffen, James M. Reecy, Lynne V. Nazareth, Carlo José Freire de Oliveira, E. Marques, Cody J. Gladney, Donna M. Muzny, Candice L. Brinkmeyer-Larigford, Lakshmi K. Matukumalli, Jan Aerts, Stephen S. Moore, Margaret Morgan, Kim L. McLean, Juan F. Medrano, Felix Kokocinski, Marco A. Marra, Gregory P. Harhay, Frank W. Nicholas, Loren C. Skow, Fiona S. L. Brinkman, Tovah Kerr, Krista L. Fritz, Stacey M. Curry, Charlotte N. Henrichsen, Catherine Ucla, David J. Lynn, Victor V. Solovyev, Natasha E. Romero, Sandra Hines, Joy M. Raison, Alessandra Mara Franzin, Selina Vattathil, Jeffery A. Carroll, Brian P. Dalrymple, Katarzyna Wilczek-Boney, Seongwon Seo, Richard J. Leach, Mireya Plass, Paul Kitts, Kris R. Wunderlich, Bhanu Prakash V.L. Telugu, Gary L. Bennett, Ramatu Ayiesha Gabisi, Ravikiran Donthu, Shalini N. Jhangiani, Rita A. Wright, Mary Qu Yang, Nauman J. Maqbool, W. A. Carvalho, Monique Rijnkels, Yuri Tani Utsunomiya, Charles E. Chappie, John L. Williams, Rob Halgren, Stephen M. J. Searle, A.R.R. Abatepaulo, Thomas Junier, Stephanie D. McKay, Anne G. Rosenwald, David A. Wheeler, Rosemarie Weikard, N. Hastings, Roger T. Stone, Eduardo Eyras, Cerissa Hamilton, Wendy C. Brown, Yan Ding, Ylva Strandberg Lutzow, Matthew Hobbs, Annett Eberlein, Carine Wyss, Jennifer M. Urbanski, Matthew Peter Kent, Lilian P.L. Lau, Dinesh Kumar, Penny K. Riggs, Lawrence B. Schook, Matthew Hitchens, Vandita Joshi, Melissa J. Landrum, Tyler Alioto, Nathan Poslusny, Thomas T. Wheeler, Victor Sapojnikov, Natália F. Martins, San Juana Ruiz, Michael D. MacNeil, Alexandre Rodrigues Caetano, Mario Andres Poli, Catherine Jamis, Masaaki Taniguchi, James E. Womack, William F. Martin, Andrej Razpet, James G. R. Gilbert, Daniel G. Bradley, Readman Chiu, Thomas H. Welsh, Clare A. Gill, Erica Sodergren, Carol G. Chitko-McKown, Hari Prasad Nandakumar, Virpi Ahola, Steve M. Kappes, Jennifer E. Chapin, Sandra Regina Maruyama, John Lopez, Krystin M. Logan, Jonathan A. Green, Laurens G. Wilming, Yue Liu, Antti Iivanainen, Robert A. Holt, Barbara T. Moreno, Marcos De Donato, Christie Kovar, Angela Jolivet Johnson, Carl T. Muntean, Robert Ward, K. James Durbin, Matthew D. Whiteside, Christopher P. Childers, Tad S. Sonstegard, Yin Shin Liu, Bin Zhu, Sameer D. Pant, Ashley J. Waardenberg, André Eggen, D.M. Spurlock, Hsiu Chuan Chen, Le Luo Guan, Sandra L. Rodriguez-Zas, Akiko Takasuga, Daniela D. Moré, Jianqi Yang, Wratko Hlavina, Sheila M. Schmutz, Michael J. Brownstein, Christine G. Elsik, Marvin Diep Dao, Daniel Gerlach, E. Hart, Elsa Chacko, Elizabeth Glass, Libing Shen, Chris P. Verschoor, Eliane P. Cervelatti, Department of Biology, Georgetown University, Department of Animal Science, Texas A&M University [College Station], Livestock Industries, Baylor College of Medicine (BCM), Reymond, Alexandre, Zdobnov, Evgeny, Antonarakis, Stylianos, Ucla, Catherine, Gerlach, Daniel, and Junier, Thomas

Subjects
Male, genome sequence, [SDV]Life Sciences [q-bio], ved/biology.organism_classification_rank.species, Genome, Genética y Herencia, Segmental duplication, 2. Zero hunger, Genetics, ddc:616, 0303 health sciences, Multidisciplinary, 04 agricultural and veterinary sciences, Bovine genome, Animals, Domestic, Proteins/genetics, Female, CIENCIAS NATURALES Y EXACTAS, Sequence analysis, Evolution, Biotecnología Agropecuaria, Molecular Sequence Data, Tecnología GM, clonación de ganado, selección asistida, diagnósticos, tecnología de producción de biomasa, etc, Biology, Synteny, Article, Ciencias Biológicas, Evolution, Molecular, 03 medical and health sciences, Species Specificity, Animals, Humans, General, Gene, 030304 developmental biology, Whole genome sequencing, ved/biology, Taurine cattle, 0402 animal and dairy science, Genetic Variation, Sequence Analysis, DNA, 040201 dairy & animal science, Bos taurus, Alternative Splicing, MicroRNAs/genetics, CIENCIAS AGRÍCOLAS, cattle, Cattle, genetic
Abstract

To understand the biology and evolution of ruminants, the cattle genome was sequenced to about sevenfold coverage. The cattle genome contains a minimum of 22,000 genes, with a core set of 14,345 orthologs shared among seven mammalian species of which 1217 are absent or undetected in noneutherian (marsupial or monotreme) genomes. Cattle-specific evolutionary breakpoint regions in chromosomes have a higher density of segmental duplications, enrichment of repetitive elements, and species-specific variations in genes associated with lactation and immune responsiveness. Genes involved in metabolism are generally highly conserved, although five metabolic genes are deleted or extensively diverged from their human orthologs. The cattle genome sequence thus provides a resource for understanding mammalian evolution and accelerating livestock genetic improvement for milk and meat production. Fil: Bovine Genome Sequencing and Analysis Consortium. Bovine Genome Sequencing And Analysis Consortium; Estados Unidos Fil: Amadio, Ariel Fernando. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Santa Fe. Estación Experimental Agropecuaria Rafaela; Argentina Fil: Poli, Mario Andres. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Genética; Argentina

Published
2009
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10. Altered Levels of Mitochondrial DNA Are Associated with Female Age, Aneuploidy, and Provide an Independent Measure of Embryonic Implantation Potential

Author

Dagan Wells, Jacques Cohen, Claude-Edouard Michel, Santiago Munné, Elpida Fragouli, Andrew Craig, Katharina Spath, Fiona Kaper, Felix Kokocinski, and Samer Alfarawati

Subjects
0301 basic medicine, Adult, Cancer Research, Mitochondrial DNA, lcsh:QH426-470, Microarray, medicine.medical_treatment, Aneuploidy, Biology, Mitochondrion, medicine.disease_cause, DNA, Mitochondrial, 03 medical and health sciences, 0302 clinical medicine, Genetics, medicine, Humans, Embryo Implantation, Molecular Biology, Genetics (clinical), Ecology, Evolution, Behavior and Systematics, Mutation, 030219 obstetrics & reproductive medicine, In vitro fertilisation, Age Factors, Obstetrics and Gynecology, Embryo, General Medicine, medicine.disease, Molecular biology, lcsh:Genetics, 030104 developmental biology, Real-time polymerase chain reaction, embryonic structures, Female, Research Article
Abstract

Mitochondria play a vital role in embryo development. They are the principal site of energy production and have various other critical cellular functions. Despite the importance of this organelle, little is known about the extent of variation in mitochondrial DNA (mtDNA) between individual human embryos prior to implantation. This study investigated the biological and clinical relevance of the quantity of mtDNA in 379 embryos. These were examined via a combination of microarray comparative genomic hybridisation (aCGH), quantitative PCR and next generation sequencing (NGS), providing information on chromosomal status, amount of mtDNA, and presence of mutations in the mitochondrial genome. The quantity of mtDNA was significantly higher in embryos from older women (P=0.003). Additionally, mtDNA levels were elevated in aneuploid embryos, independent of age (P=0.025). Assessment of clinical outcomes after transfer of euploid embryos to the uterus revealed that blastocysts that successfully implanted tended to contain lower mtDNA quantities than those failing to implant (P=0.007). Importantly, an mtDNA quantity threshold was established, above which implantation was never observed. Subsequently, the predictive value of this threshold was confirmed in an independent blinded prospective study, indicating that abnormal mtDNA levels are present in 30% of non-implanting euploid embryos, but are not seen in embryos forming a viable pregnancy. NGS did not reveal any increase in mutation in blastocysts with elevated mtDNA levels. The results of this study suggest that increased mtDNA may be related to elevated metabolism and are associated with reduced viability, a possibility consistent with the ‘quiet embryo’ hypothesis. Importantly, the findings suggest a potential role for mitochondria in female reproductive aging and the genesis of aneuploidy. Of clinical significance, we propose that mtDNA content represents a novel biomarker with potential value for in vitro fertilisation (IVF) treatment, revealing chromosomally normal blastocysts incapable of producing a viable pregnancy., Author Summary Mitochondria are small membrane-enclosed structures and are found inside the cells of the body. Mitochondria actively participate in cellular life, and their main function is to generate energy which is used by the cell. For this reason mitochondria are considered as the powerhouses of cells. Unlike other cellular organelles, mitochondria contain their own DNA (mtDNA). MtDNA carries important genetic information concerning cellular metabolism and the generation of energy. It has been suggested that mitochondria and mtDNA could be of significance during early embryo development. Our work confirms this hypothesis. Specifically, our findings implicate mitochondria and their genome in female reproductive aging and the generation of embryonic chromosome abnormalities. Importantly, we describe a direct relationship between mtDNA quantity and the potential of an embryo to successfully become a baby. We propose that assessment of mtDNA quantity could be a novel way of identifying embryos with the highest ability to lead to healthy pregnancies and live births.

Published
2015
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11. FACT – a framework for the functional interpretation of high-throughput experiments

Author

Peter Lichter, Lars Hummerich, Felix Kokocinski, Nicolas Delhomme, Gunnar Wrobel, and Grischa Toedt

Subjects
Computer science, lcsh:Computer applications to medicine. Medical informatics, computer.software_genre, Biochemistry, Pattern Recognition, Automated, Task (project management), 03 medical and health sciences, 0302 clinical medicine, Structural Biology, Cluster Analysis, Computer Simulation, lcsh:QH301-705.5, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Molecular Biology, Throughput (business), Oligonucleotide Array Sequence Analysis, 030304 developmental biology, Electronic Data Processing, 0303 health sciences, Models, Statistical, Gene Expression Profiling, Applied Mathematics, Functional interpretation, Computer Science Applications, Systems Integration, lcsh:Biology (General), 030220 oncology & carcinogenesis, lcsh:R858-859.7, Data mining, DNA microarray, computer, Functional analysis (psychology), Algorithms, Software
Abstract

Background Interpreting the results of high-throughput experiments, such as those obtained from DNA-microarrays, is an often time-consuming task due to the high number of data-points that need to be analyzed in parallel. It is usually a matter of extensive testing and unknown beforehand, which of the possible approaches for the functional analysis will be the most informative Results To address this problem, we have developed the Flexible Annotation and Correlation Tool (FACT). FACT allows for detection of important patterns in large data sets by simplifying the integration of heterogeneous data sources and the subsequent application of different algorithms for statistical evaluation or visualization of the annotated data. The system is constantly extended to include additional annotation data and comparison methods. Conclusion FACT serves as a highly flexible framework for the explorative analysis of large genomic and proteomic result sets. The program can be used online; open source code and supplementary information are available at http://www.factweb.de.

Published
2005
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12. The GENCODE human gene set

Author

S. Donaldson, James G. R. Gilbert, Denise Carvalho-Silva, Roderic Guigó, Michael F. Lin, If H. A. Barnes, Alfonso Valencia, Toby Hunt, Bronwen Aken, Thomas Derrien, Rachel A. Harte, Adam Frankish, Michael R. Brent, Manolis Kellis, Jessica Vamathevan, Jonathan M. Mudge, David Lloyd, Laurens G. Wilming, M. Kay, Alexandre Reymond, Claire Davidson, Mark Diekhans, S. Searle, Amonida Zadissa, Tim Hubbard, Jen Harrow, Felix Kokocinski, M. van Baren, Catherine E. Snow, Mark Gerstein, Jane E. Loveland, Cédric Howald, Alexandra Bignell, Michael L. Tress, Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Kellis, Manolis, and Lin, M.

Subjects
0303 health sciences, GENCODE, 030305 genetics & heredity, Genomics, Computational biology, Biology, Bioinformatics, Ncrna gene, Genome, Human genetics, 03 medical and health sciences, Manual annotation, Human evolution, Poster Presentation, Gene, 030304 developmental biology
Abstract

This article is part of the supplement: Beyond the Genome: The true gene count, human evolution and disease genomics, Boston, MA, USA. 11-13 October 2010., The GENCODE consortium is a sub group of the ENCODE consortium. Its aim is to provide complete annotation of genes in the human genome including protein-coding loci, non-coding loci and pseudogenes, based on experimental evidence. The final aim is for the HAVANA team to manually annotate the complete genome. This is a time-consuming process which will be completed over the course of the ENCODE project. Currently, to provide a set of annotation covering the complete genome, rather than just the regions that have been manually annotated, a merge of manual annotation from HAVANA with automatic annotation from the Ensembl automatically annotated gene set is created. This process also adds unique full-length CDS predictions from the Ensembl protein coding set into manually annotated genes, to provide the most complete up to date annotation of the genome possible. Also included in the set are short and long ncRNA genes predicted by the Ensembl prediction pipelines and a consensus set of pseudogene predictions agreed between Havana, Yale and UCSC. The CCDS set is also fully represented within the GENCODE set. The GENCODE set is the default annotation available in Ensembl and is also available in the UCSC genome browser. All the annotation is tagged as to whether it is produced by manual annotation alone, automatic annotation alone, or by both approaches. We are currently working to provide confidence levels for annotation, based on depth and type of evidence supporting it.

Published
2010
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