Search

Your search keyword '"Thermofisher Scientific"' showing total 8 results
Start Over Author "Thermofisher Scientific" Topic [sdv]life sciences [q-bio]
8 results on '"Thermofisher Scientific"'

1. Triplexed CEA-NSE-PSA Immunoassay Using Time-Gated Terbium-to-Quantum Dot FRET

Author

Anne Incamps, Shashi Bhuckory, Xue Qiu, Niko Hildebrandt, K. David Wegner, Yu-Tang Wu, Travis L. Jennings, Institut de Biologie Intégrative de la Cellule (I2BC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), NanoBioPhotonics (NANO), Département Biochimie, Biophysique et Biologie Structurale (B3S), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut de Biologie Intégrative de la Cellule (I2BC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), BAM Bundesanstalt für Materialforschung u. -prüfung, Ocean University of China (OUC), ThermoFisher, Cellules Souches, Plasticité Cellulaire, Médecine Régénératrice et Immunothérapies (IRMB), Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), ThermoFisher Scientific, Thermofisher Scientific, Chimie Organique et Bioorganique : Réactivité et Analyse (COBRA), Institut Normand de Chimie Moléculaire Médicinale et Macromoléculaire (INC3M), Institut de Chimie du CNRS (INC)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Université Le Havre Normandie (ULH), Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Institut de Chimie du CNRS (INC)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie Organique Fine (IRCOF), Université de Rouen Normandie (UNIROUEN), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Hildebrandt, Niko, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Institut de Chimie Organique Fine (IRCOF), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université de Rouen Normandie (UNIROUEN), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut Normand de Chimie Moléculaire Médicinale et Macromoléculaire (INC3M), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), and ANR-16-CE09-0015,NEUTRINOS,Suivi des interactions biologiques par détection optique ultrasensible à base de nanoparticules(2016)

Subjects
[SDV]Life Sciences [q-bio], Pharmaceutical Science, 02 engineering and technology, 01 natural sciences, 7. Clean energy, [PHYS] Physics [physics], Analytical Chemistry, PSA, Carcinoembryonic antigen, CEA, NSE, [CHIM] Chemical Sciences, Drug Discovery, Fluorescence Resonance Energy Transfer, [PHYS]Physics [physics], Immunoassay, multiplexing, biology, medicine.diagnostic_test, Chemistry, 021001 nanoscience & nanotechnology, Fluorescence, 3. Good health, [SDV] Life Sciences [q-bio], Chemistry (miscellaneous), Molecular Medicine, Kallikreins, fluorescence, 0210 nano-technology, Plate reader, 010402 general chemistry, GPI-Linked Proteins, Article, lcsh:QD241-441, lcsh:Organic chemistry, Quantum Dots, medicine, [CHIM]Chemical Sciences, Humans, lanthanides, Physical and Theoretical Chemistry, Terbium, Detection limit, Chromatography, Organic Chemistry, Prostate-Specific Antigen, 0104 chemical sciences, Carcinoembryonic Antigen, Förster resonance energy transfer, Immunoglobulin G, biology.protein, nanoparticles, biosensing, Luminescence, Biosensor
Abstract

Time-gated F&ouml, rster resonance energy transfer (TG-FRET) between Tb complexes and luminescent semiconductor quantum dots (QDs) provides highly advantageous photophysical properties for multiplexed biosensing. Multiplexed Tb-to-QD FRET immunoassays possess a large potential for in vitro diagnostics, but their performance is often insufficient for their application under clinical conditions. Here, we developed a homogeneous TG-FRET immunoassay for the quantification of carcinoembryonic antigen (CEA), neuron-specific enolase (NSE), and prostate-specific antigen (PSA) from a single serum sample by multiplexed Tb-to-QD FRET. Tb&ndash, IgG antibody donor conjugates were combined with compact QD-F(ab&rsquo, )2 antibody acceptor conjugates with three different QDs emitting at 605, 650, and 705 nm. Upon antibody&ndash, antigen&ndash, antibody sandwich complex formation, the QD acceptors were sensitized via FRET from Tb, and the FRET ratios of QD and Tb TG luminescence intensities increased specifically with increasing antigen concentrations. Although limits of detection (LoDs: 3.6 ng/mL CEA, 3.5 ng/mL NSE, and 0.3 ng/mL PSA) for the triplexed assay were slightly higher compared to the single-antigen assays, they were still in a clinically relevant concentration range and could be quantified in 50 &micro, L serum samples on a B&middot, R&middot, A&middot, H&middot, M&middot, S KRYPTOR Compact PLUS clinical immunoassay plate reader. The simultaneous quantification of CEA, NSE, and PSA at different concentrations from the same serum sample demonstrated actual multiplexing Tb-to-QD FRET immunoassays and the potential of this technology for translation into clinical diagnostics.

Published
2020

2. High throughput genotyping of structural variations in a complex plant genome using an original Affymetrix® axiom® array

Author

Sébastien Praud, Hélène Rimbert, Jorge Duarte, Jean-Philippe Pichon, Clémentine Vitte, Aude Darracq, Ali Pirani, Clément Mabire, Stéphane Nicolas, Nathalie Rivière, Valérie Combes, Johann Joets, Delphine Madur, Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale) (GQE-Le Moulon), Centre National de la Recherche Scientifique (CNRS)-AgroParisTech-Université Paris-Sud - Paris 11 (UP11)-Institut National de la Recherche Agronomique (INRA), BIOGEMMA, Biogemma Clermont-Ferrand, Génétique et évolution des populations végétales (GEPV), Université de Lille, Sciences et Technologies-Centre National de la Recherche Scientifique (CNRS), Affymetrix, Génétique Diversité et Ecophysiologie des Céréales (GDEC), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de la Recherche Agronomique (INRA), Centre National de la Recherche Scientifique (CNRS), Biogemma, Laboratoire des interactions plantes micro-organismes (LIPM), Institut National de la Recherche Agronomique (INRA)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche de Chappes, Thermofisher Scientific, CNVMaize, Amaizing, Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), France Agrimer program CNV4sel Plant Biology and Breeding department of the French National Institute for Agricultural Research (INRA), ANR-10-GENM-0003,CNV-MAIZE,Étude d'association sur génome entier entre variation structurale, variation des caractères d'intérêt agronomique et hétérosis chez le maïs(2010), ANR-10-BTBR-0001,AMAIZING,Développer de nouvelles variétés de maïs pour une agriculture durable: une approche intégrée de la génomique à la sélection(2010), and Institut National de la Recherche Agronomique (INRA)-Université Paris-Sud - Paris 11 (UP11)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)

Subjects
0106 biological sciences, Genotyping, lcsh:QH426-470, Genotyping Techniques, Chromosomal rearrangements, lcsh:Biotechnology, [SDV]Life Sciences [q-bio], Single-nucleotide polymorphism, Computational biology, Biology, Affymetrix® Axiom®, 01 natural sciences, Genome, Zea mays, [SDV.GEN.GPL]Life Sciences [q-bio]/Genetics/Plants genetics, 03 medical and health sciences, INDEL Mutation, Present absent variation, lcsh:TP248.13-248.65, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], Genotype, SNP, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, Association mapping, Indel, High throughput genotyping of structural variations, ComputingMilieux_MISCELLANEOUS, 030304 developmental biology, Oligonucleotide Array Sequence Analysis, 2. Zero hunger, 0303 health sciences, Genome assembly, Copy number variation, Methodology Article, Breakpoint, Array, High-Throughput Nucleotide Sequencing, food and beverages, lcsh:Genetics, Nucleic Acid Probes, complex plant genome, [SDE]Environmental Sciences, Structural variation, Genome, Plant, 010606 plant biology & botany
Abstract

BackgroundInsertions/deletions (InDels) and more specifically presence/absence variations (PAVs) are pervasive in several species and have strong functional and phenotypic effect by removing or drastically modifying genes. Genotyping of such variants on large panels remains poorly addressed, while necessary for approaches such as association mapping or genomic selection.ResultsWe have developed, as a proof of concept, a new high-throughput and affordable approach to genotype InDels. We first identified 141,000 InDels by aligning reads from the B73 line against the genome of three temperate maize inbred lines (F2, PH207, and C103) and reciprocally. Next, we designed an Affymetrix® Axiom® array to target these InDels, with a combination of probes selected at breakpoint sites (13%) or within the InDel sequence, either at polymorphic (25%) or non-polymorphic sites (63%) sites. The final array design is composed of 662,772 probes and targets 105,927 InDels, including PAVs ranging from 35bp to 129kbp. After Affymetrix® quality control, we successfully genotyped 86,648 polymorphic InDels (82% of all InDels interrogated by the array) on 445 maize DNA samples with 422,369 probes. Genotyping InDels using this approach produced a highly reliable dataset, with low genotyping error (~3%), high call rate (~98%), and high reproducibility (>95%). This reliability can be further increased by combining genotyping of several probes calling the same InDels (99.9% of call rate for 5 probes). This “proof of concept” tool was used to estimate the kinship matrix between 362 maize lines with 57,824 polymorphic InDels. This InDels kinship matrix was highly correlated with kinship estimated using SNPs from Illumina 50K SNP arrays.ConclusionsWe efficiently genotyped thousands of small to large InDels on a sizeable number of individuals using a new Affymetrix®Axiom®array. This powerful approach opens the way to studying the contribution of InDels to trait variation and heterosis in maize. The approach is easily extendable to other species and should contribute to decipher the biological impact of InDels at a larger scale.

Published
2019

3. Genome-wide association study between 60 000 Present/Absent Variants and 29 agronomic traits using a new high throughput genotyping array

Author

Mabire, Clément, Duarte, Jorge, Pichon, Jean-Philippe, Joets, Johann, Darracq, Aude, Madur, Delphine, Bauland, Cyril, Pirani, Ali, Charcosset, Alain, Nicolas, Stephane, Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale) (GQE-Le Moulon), Centre National de la Recherche Scientifique (CNRS)-AgroParisTech-Université Paris-Sud - Paris 11 (UP11)-Institut National de la Recherche Agronomique (INRA), Groupe Limagrain, Thermofisher Scientific, CNVMaize (ANR-10-BTBR-01), and Amaizing (ANR-10-GENM-003)

Subjects
genotyping array, Genome-wide association study, [SDV]Life Sciences [q-bio], agronomic traits, Variants, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology
Abstract

National audience; Large extent of Copy Number Variants (CNV), i.e changes in the copy number of genes between individuals, have been recently highlighted in maize using Comparative Genomic Hybridization array or massive parallel sequencing. However, their contribution to genetic diversity and to traits variation remains mostly unknown since these technologies are very expensive and labor demanding. To address these issues, we developed an original approach based on Affymetrix Axiom technology, to genotype an extreme form of CNV called Present Absent Variant (PAV) in maize. PAV was defined as DNA sequence >1kbp that is present in some individuals but absent from others. Using our high throughtput genotyping array, we genotyped 60 026 PAV on 356 inbred lines from an association panel representing worldwide maize genetic diversity. This panel has been previously genotyped using 50k SNP Illumina Infinium array and phenotyped for 29 agronomic traits related to yield, phenology and plant architecture. We analyzed and compared how PAV and SNP polymorphisms were globally structured in these panel by analyzing relatedness and genetic structuration. We observed that genetic structuration and relatedness obtained using PAV were globally similar to those obtained with SNP. We analyzed extent of linkage disequilibrium (LD) between SNP and PAV. We observed that LD were less extended between PAV and SNP than between SNP suggesting that the effect of these polymorphisms on traits could be not easily captured by linkage disequilibrium with SNP from 50K array. We performed a genome wide association study on 29 agronomic traits and identified several PAV significantly associated with different agronomic traits.

Published
2016

4. Genome-wide association study between 60 000 Present/Absent Variants and 29 agronomic traits using a new high throughput genotyping array

Author

Mabire, Clément, Duarte, Jorge, Pichon, Jean-Philippe, Joets, Johann, Darracq, Aude, Madur, Delphine, Bauland, Cyril, Pirani, Ali, Charcosset, Alain, Nicolas, Stephane, Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale) (GQE-Le Moulon), Centre National de la Recherche Scientifique (CNRS)-AgroParisTech-Université Paris-Sud - Paris 11 (UP11)-Institut National de la Recherche Agronomique (INRA), Groupe Limagrain, Thermofisher Scientific, CNVMaize (ANR-10-BTBR-01), and Amaizing (ANR-10-GENM-003)

Subjects
genotyping array, Genome-wide association study, [SDV]Life Sciences [q-bio], agronomic traits, Variants, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology
Abstract

National audience; Large extent of Copy Number Variants (CNV), i.e changes in the copy number of genes between individuals, have been recently highlighted in maize using Comparative Genomic Hybridization array or massive parallel sequencing. However, their contribution to genetic diversity and to traits variation remains mostly unknown since these technologies are very expensive and labor demanding. To address these issues, we developed an original approach based on Affymetrix Axiom technology, to genotype an extreme form of CNV called Present Absent Variant (PAV) in maize. PAV was defined as DNA sequence >1kbp that is present in some individuals but absent from others. Using our high throughtput genotyping array, we genotyped 60 026 PAV on 356 inbred lines from an association panel representing worldwide maize genetic diversity. This panel has been previously genotyped using 50k SNP Illumina Infinium array and phenotyped for 29 agronomic traits related to yield, phenology and plant architecture. We analyzed and compared how PAV and SNP polymorphisms were globally structured in these panel by analyzing relatedness and genetic structuration. We observed that genetic structuration and relatedness obtained using PAV were globally similar to those obtained with SNP. We analyzed extent of linkage disequilibrium (LD) between SNP and PAV. We observed that LD were less extended between PAV and SNP than between SNP suggesting that the effect of these polymorphisms on traits could be not easily captured by linkage disequilibrium with SNP from 50K array. We performed a genome wide association study on 29 agronomic traits and identified several PAV significantly associated with different agronomic traits.

Published
2016

5. A new high-throughput approach to characterize Presence/Absence Variant in Maize based on Affymetrix technology

Author

Nicolas, Stephane, Darracq, Aude, Pirani, Ali, Rimbert, Hélène, Mabire, Clément, Madur, Delphine, Rivière, Nathalie, Pichon, Jean-Philippe, Joets, Johann, Duarte, Jorge, Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale) (GQE-Le Moulon), Centre National de la Recherche Scientifique (CNRS)-AgroParisTech-Université Paris-Sud - Paris 11 (UP11)-Institut National de la Recherche Agronomique (INRA), Thermofisher Scientific, Génétique Diversité et Ecophysiologie des Céréales (GDEC), Institut National de la Recherche Agronomique (INRA)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Groupe Limagrain, ProdInra, Migration, and Institut National de la Recherche Agronomique (INRA)-Université Paris-Sud - Paris 11 (UP11)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDV] Life Sciences [q-bio], [SDE] Environmental Sciences, [SDV]Life Sciences [q-bio], [SDE]Environmental Sciences, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, [SDV.BV] Life Sciences [q-bio]/Vegetal Biology, Affymetrix technology, Variant in Maize, ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
2015

6. Sauna, sweat and science – quantifying the proportion of condensation water versus sweat using a stable water isotope (2H/1H and 18O/16O) tracer experiment

Author

Mario Tuthorn, Stefanie Bösel, Maren Dubbert, Bruno Glaser, Marianne Benesch, Michael Zech, Matthias Cuntz, University of Bayreuth, Martin-Luther-University Halle-Wittenberg, Thermofisher Scientific, and Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ)

Subjects
sauna, Hot Temperature, perspiration, [SDV]Life Sciences [q-bio], oxygen-18, Oxygen Isotopes, Steam Bath, Inorganic Chemistry, SWEAT, isotope labelling, TRACER, Latent heat, medicine, Environmental Chemistry, Humans, Perspiration, Sweat, General Environmental Science, Oxygen-18, Isotope, Chemistry, hydrogen-2, Condensation, Water, tracer, Deuterium, Steam, condensation, phase transition, Environmental chemistry, medicine.symptom, Water vapor
Abstract

International audience; Most visitors of a sauna appreciate the heat pulse that is perceived when water is poured on the stones of a sauna stove. However, probably only few bathers are aware that this pleasant heat pulse is caused by latent heat being released onto our skin due to condensation of water vapour. In order to quantify the proportion of condensation water versus sweat to dripping water of test persons we conducted sauna experiments using isotopically labelled (δ18O and δ2H) thrown water as tracer. This allows differentiating between ‘pure sweat’ and ‘condensation water’. Two ways of isotope mass balance calculations were applied and yielded similar results for both water isotopes. Accordingly, condensation contributed considerably to dripping water with mean proportions of 52 ± 12 and 54 ± 7 % in a sauna experiment in winter semester 2011/12 and 30 ± 13 and 33 ± 6 % in a sauna experiment in winter semester 2012/13, respectively, depending on the way of calculating the isotope mass balance. It can be concluded from the results of our dual isotope labelling sauna experiment that it is not all about sweat in the sauna.

Published
2015

7. Microbial utilisation of biochar-derived carbon

Author

Jeff Baldock, Bhupinder Pal Singh, Todd Maddern, Lynne M. Macdonald, Mark Farrell, Karen Baumann, Thomas Kuhn, Evelyn S. Krull, Phillip A. Hall, Daniel Murphy, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Thermofisher Scientific, University of Western Australia, University of Adelaide, Forest Science Center, Partenaires INRAE, Biogéochimie et écologie des milieux continentaux (Bioemco), Centre National de la Recherche Scientifique (CNRS)-AgroParisTech-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Recherche Agronomique (INRA)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), The University of Western Australia (UWA), École normale supérieure - Paris (ENS-PSL), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)

Subjects
Magnetic Resonance Spectroscopy, [SDV]Life Sciences [q-bio], 010501 environmental sciences, Carbon sequestration, black carbon, 01 natural sciences, Mass Spectrometry, c 13 plfa, Soil pH, Biochar, Soil Pollutants, mineralization, Waste Management and Disposal, Incubation, Phospholipids, Soil Microbiology, char, 2. Zero hunger, Total organic carbon, Carbon Isotopes, Chemistry, Fatty Acids, 04 agricultural and veterinary sciences, Pollution, Environmental chemistry, Charcoal, [SDE]Environmental Sciences, community structure, Pyrolysis, Environmental Engineering, Chromatography, Gas, short term, growth, soil organic matter, Environmental Chemistry, 0105 earth and related environmental sciences, decomposition, wheat straw, biomass, Soil organic matter, organic carbon, Western Australia, 15. Life on land, Carbon Dioxide, pyrolysis, forest soil, carbon sequestration, Carbon, Agronomy, Microbial population biology, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries
Abstract

International audience; Whilst largely considered an inert material, biochar has been documented to contain a small yet significant fraction of microbially available labile organic carbon (C). Biochar addition to soil has also been reported to alter soil microbial community structure, and to both stimulate and retard the decomposition of native soil organic matter (SOM). We conducted a short-term incubation experiment using two C-13-labelled biochars produced from wheat or eucalypt shoots, which were incorporated in an aridic arenosol to examine the fate of the labile fraction of biochar-C through the microbial community. This was achieved using compound specific isotopic analysis (CSIA) of phospholipid fatty acids (PLFAs). A proportion of the biologically-available fraction of both biochars was rapidly (within three days) utilised by gram positive bacteria. There was a sharp peak in CO2 evolution shortly after biochar addition, resulting from rapid turnover of labile C components in biochars and through positive priming of native SOM. Our results demonstrate that this CO2 evolution was at least partially microbially mediated, and that biochar application to soil can cause significant and rapid changes in the soil microbial community; likely due to addition of labile C and increases in soil pH. (C) 2013 Elsevier B.V. All rights reserved.

Published
2013

8. Development of a new high throughput 105K Presence/Absence Variation genotyping array for quantitative genetic studies

Author

Clément Mabire, Jorge Duarte, Aude Darracq, Ali Pirani, Hélène Rimbert, Delphine Madur, Clémentine Vitte, Nathalie Rivière, Valerie Combes, Johann Joets, Jean-Philippe Pichon, Stéphane Nicolas, Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale) (GQE-Le Moulon), Institut National de la Recherche Agronomique (INRA)-Université Paris-Sud - Paris 11 (UP11)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), BIOGEMMA, Thermofisher Scientific, Génétique Diversité et Ecophysiologie des Céréales (GDEC), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Centre National de la Recherche Scientifique (CNRS), Groupe Limagrain, CNVMaize (ANR-10-BTBR-01), Amaizing (ANR-10-GENM-003), and Centre National de la Recherche Scientifique (CNRS)-AgroParisTech-Université Paris-Sud - Paris 11 (UP11)-Institut National de la Recherche Agronomique (INRA)

Subjects
genotyping, array, [SDV]Life Sciences [q-bio], [SDE]Environmental Sciences, Chromosomal rearrangement, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, Structural Variation, Zea mays, ComputingMilieux_MISCELLANEOUS, Present Absent Variation, Copy Number Variation
Abstract

National audience

Catalog

Books, media, physical & digital resources
See catalog results