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Rice Galaxy: an open resource for plant science.
Juanillas, Venice; Dereeper, Alexis; Beaume, Nicolas; Droc, Gaetan; Dizon, Joshua; Mendoza, John Robert; Perdon, Jon Peter; Mansueto, Locedie; Triplett, Lindsay; Lang, Jillian; Zhou, Gabriel; Ratharanjan, Kunalan; Plale, Beth; Haga, Jason; Leach, Jan E; Ruiz, Manuel; Thomson, Michael; Alexandrov, Nickolai; Larmande, Pierre; Kretzschmar, Tobias; Mauleon, Ramil P.
Affiliation
  • Juanillas V; International Rice Research Institute, DAPO Box 7777, Metro Manila 1301, Philippines.
  • Dereeper A; Institut de recherche pour le développement (IRD), University of Montpellier, DIADE, IPME, Montpellier, France.
  • Beaume N; International Rice Research Institute, DAPO Box 7777, Metro Manila 1301, Philippines.
  • Droc G; CIRAD, UMR AGAP, F-34398 Montpellier, France.
  • Dizon J; International Rice Research Institute, DAPO Box 7777, Metro Manila 1301, Philippines.
  • Mendoza JR; Advanced Science and Technology Institute, Department of Science and Technology, Quezon City, Philippines.
  • Perdon JP; Advanced Science and Technology Institute, Department of Science and Technology, Quezon City, Philippines.
  • Mansueto L; International Rice Research Institute, DAPO Box 7777, Metro Manila 1301, Philippines.
  • Triplett L; Department of Bioagricultural Sciences and Pest Management, Colorado State University, Fort Collins, CO 80523-1177, USA.
  • Lang J; Department of Bioagricultural Sciences and Pest Management, Colorado State University, Fort Collins, CO 80523-1177, USA.
  • Zhou G; Indiana University, 107 S Indiana Ave, Bloomington, IN 47405, USA.
  • Ratharanjan K; Indiana University, 107 S Indiana Ave, Bloomington, IN 47405, USA.
  • Plale B; Indiana University, 107 S Indiana Ave, Bloomington, IN 47405, USA.
  • Haga J; National Institute of Advanced Industrial Science and Technology, AIST Tsukuba Central 1,1-1-1 Umezono, Tsukuba, Ibaraki 305-8560, Japan.
  • Leach JE; Department of Bioagricultural Sciences and Pest Management, Colorado State University, Fort Collins, CO 80523-1177, USA.
  • Ruiz M; CIRAD, UMR AGAP, F-34398 Montpellier, France.
  • Thomson M; International Rice Research Institute, DAPO Box 7777, Metro Manila 1301, Philippines.
  • Alexandrov N; Department of Soil and Crop Sciences, Texas A&M University, Houston, TX, USA.
  • Larmande P; International Rice Research Institute, DAPO Box 7777, Metro Manila 1301, Philippines.
  • Kretzschmar T; Institut de recherche pour le développement (IRD), University of Montpellier, DIADE, IPME, Montpellier, France.
  • Mauleon RP; International Rice Research Institute, DAPO Box 7777, Metro Manila 1301, Philippines.
Gigascience ; 8(5)2019 05 01.
Article in En | MEDLINE | ID: mdl-31107941
BACKGROUND: Rice molecular genetics, breeding, genetic diversity, and allied research (such as rice-pathogen interaction) have adopted sequencing technologies and high-density genotyping platforms for genome variation analysis and gene discovery. Germplasm collections representing rice diversity, improved varieties, and elite breeding materials are accessible through rice gene banks for use in research and breeding, with many having genome sequences and high-density genotype data available. Combining phenotypic and genotypic information on these accessions enables genome-wide association analysis, which is driving quantitative trait loci discovery and molecular marker development. Comparative sequence analyses across quantitative trait loci regions facilitate the discovery of novel alleles. Analyses involving DNA sequences and large genotyping matrices for thousands of samples, however, pose a challenge to non-computer savvy rice researchers. FINDINGS: The Rice Galaxy resource has shared datasets that include high-density genotypes from the 3,000 Rice Genomes project and sequences with corresponding annotations from 9 published rice genomes. The Rice Galaxy web server and deployment installer includes tools for designing single-nucleotide polymorphism assays, analyzing genome-wide association studies, population diversity, rice-bacterial pathogen diagnostics, and a suite of published genomic prediction methods. A prototype Rice Galaxy compliant to Open Access, Open Data, and Findable, Accessible, Interoperable, and Reproducible principles is also presented. CONCLUSIONS: Rice Galaxy is a freely available resource that empowers the plant research community to perform state-of-the-art analyses and utilize publicly available big datasets for both fundamental and applied science.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Oryza / Software / Genomics / Databases, Genetic / Plant Breeding Type of study: Prognostic_studies Language: En Journal: Gigascience Year: 2019 Document type: Article Affiliation country: Philippines Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Oryza / Software / Genomics / Databases, Genetic / Plant Breeding Type of study: Prognostic_studies Language: En Journal: Gigascience Year: 2019 Document type: Article Affiliation country: Philippines Country of publication: United States