David L Hyten

Summary

Affiliation: Agricultural Research Service
Country: USA

Publications

  1. pmc High-throughput SNP discovery through deep resequencing of a reduced representation library to anchor and orient scaffolds in the soybean whole genome sequence
    David L Hyten
    Soybean Genomics and Improvement Laboratory, US Department of Agriculture, Agricultural Research Service, Beltsville, MD 20705, USA
    BMC Genomics 11:38. 2010
  2. doi request reprint High-throughput genotyping with the GoldenGate assay in the complex genome of soybean
    David L Hyten
    Soybean Genomics and Improvement Laboratory, US Department of Agriculture, Agricultural Research Service, Beltsville, MD 20705, USA
    Theor Appl Genet 116:945-52. 2008
  3. pmc High-throughput SNP discovery and assay development in common bean
    David L Hyten
    Soybean Genomics and Improvement Laboratory, US Department of Agriculture, Agricultural Research Service, Beltsville, Maryland 20705, USA
    BMC Genomics 11:475. 2010
  4. pmc Highly variable patterns of linkage disequilibrium in multiple soybean populations
    David L Hyten
    Soybean Genomics and Improvement Laboratory, U S Department of Agriculture, Agricultural Research Service, Beltsville, Maryland 20705, USA
    Genetics 175:1937-44. 2007
  5. pmc A soybean transcript map: gene distribution, haplotype and single-nucleotide polymorphism analysis
    Ik Young Choi
    Soybean Genomics and Improvement Laboratory, USDA, ARS, Beltsville, Maryland 20705, USA
    Genetics 176:685-96. 2007
  6. pmc Development and evaluation of SoySNP50K, a high-density genotyping array for soybean
    Qijian Song
    Soybean Genomics and Improvement Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville, Maryland, United States of America
    PLoS ONE 8:e54985. 2013
  7. pmc SNP-PHAGE--High throughput SNP discovery pipeline
    Lakshmi K Matukumalli
    US Department of Agriculture, ARS, Beltsville Agricultural Research Center, Bovine Functional Genomics Laboratory, Beltsville, MD 20705, USA
    BMC Bioinformatics 7:468. 2006
  8. pmc Impacts of genetic bottlenecks on soybean genome diversity
    David L Hyten
    Soybean Genomics and Improvement Laboratory, U S Department of Agriculture, Agricultural Research Service, Beltsville, MD 20705, USA
    Proc Natl Acad Sci U S A 103:16666-71. 2006
  9. doi request reprint A genome-wide association study of seed protein and oil content in soybean
    Eun Young Hwang
    USDA, Agricultural Research Service, Soybean Genomics and Improvement Lab, Beltsville, MD 20705, USA
    BMC Genomics 15:1. 2014
  10. pmc Application of machine learning in SNP discovery
    Lakshmi K Matukumalli
    Beltsville Agricultural Research Center, Bovine Functional Genomics Laboratory, US Department of Agriculture, ARS, Beltsville, MD 20705, USA
    BMC Bioinformatics 7:4. 2006

Collaborators

Detail Information

Publications10

  1. pmc High-throughput SNP discovery through deep resequencing of a reduced representation library to anchor and orient scaffolds in the soybean whole genome sequence
    David L Hyten
    Soybean Genomics and Improvement Laboratory, US Department of Agriculture, Agricultural Research Service, Beltsville, MD 20705, USA
    BMC Genomics 11:38. 2010
    ....
  2. doi request reprint High-throughput genotyping with the GoldenGate assay in the complex genome of soybean
    David L Hyten
    Soybean Genomics and Improvement Laboratory, US Department of Agriculture, Agricultural Research Service, Beltsville, MD 20705, USA
    Theor Appl Genet 116:945-52. 2008
    ..The high success rate of the GoldenGate assay makes this a useful technique for quickly creating high density genetic maps in species where SNP markers are rapidly becoming available...
  3. pmc High-throughput SNP discovery and assay development in common bean
    David L Hyten
    Soybean Genomics and Improvement Laboratory, US Department of Agriculture, Agricultural Research Service, Beltsville, Maryland 20705, USA
    BMC Genomics 11:475. 2010
    ..To this end we developed a method which couples sequences obtained from the Roche 454-FLX system (454) with the Illumina Genome Analyzer (GA) for high-throughput SNP discovery...
  4. pmc Highly variable patterns of linkage disequilibrium in multiple soybean populations
    David L Hyten
    Soybean Genomics and Improvement Laboratory, U S Department of Agriculture, Agricultural Research Service, Beltsville, Maryland 20705, USA
    Genetics 175:1937-44. 2007
    ..G. soja appears to be ideal for fine mapping of genes, but due to the highly variable levels of LD in the Landraces and the Elite Cultivars, whole-genome association analysis in soybean may be more difficult than first anticipated...
  5. pmc A soybean transcript map: gene distribution, haplotype and single-nucleotide polymorphism analysis
    Ik Young Choi
    Soybean Genomics and Improvement Laboratory, USDA, ARS, Beltsville, Maryland 20705, USA
    Genetics 176:685-96. 2007
    ....
  6. pmc Development and evaluation of SoySNP50K, a high-density genotyping array for soybean
    Qijian Song
    Soybean Genomics and Improvement Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville, Maryland, United States of America
    PLoS ONE 8:e54985. 2013
    ..The SoySNP50K iSelect SNP beadchip will be a powerful tool for characterizing soybean genetic diversity and linkage disequilibrium, and for constructing high resolution linkage maps to improve the soybean whole genome sequence assembly...
  7. pmc SNP-PHAGE--High throughput SNP discovery pipeline
    Lakshmi K Matukumalli
    US Department of Agriculture, ARS, Beltsville Agricultural Research Center, Bovine Functional Genomics Laboratory, Beltsville, MD 20705, USA
    BMC Bioinformatics 7:468. 2006
    ..Although these tasks are routinely performed by several groups, an integrated open source SNP discovery pipeline that can be easily adapted by new groups interested in SNP marker development is currently unavailable...
  8. pmc Impacts of genetic bottlenecks on soybean genome diversity
    David L Hyten
    Soybean Genomics and Improvement Laboratory, U S Department of Agriculture, Agricultural Research Service, Beltsville, MD 20705, USA
    Proc Natl Acad Sci U S A 103:16666-71. 2006
    ....
  9. doi request reprint A genome-wide association study of seed protein and oil content in soybean
    Eun Young Hwang
    USDA, Agricultural Research Service, Soybean Genomics and Improvement Lab, Beltsville, MD 20705, USA
    BMC Genomics 15:1. 2014
    ....
  10. pmc Application of machine learning in SNP discovery
    Lakshmi K Matukumalli
    Beltsville Agricultural Research Center, Bovine Functional Genomics Laboratory, US Department of Agriculture, ARS, Beltsville, MD 20705, USA
    BMC Bioinformatics 7:4. 2006
    ..ML methods have also been successfully applied to other bioinformatics problems in predicting genes, promoters, transcription factor binding sites and protein structures...