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MaizeGDB 2018: the maize multi-genome genetics and genomics database.
Portwood, John L; Woodhouse, Margaret R; Cannon, Ethalinda K; Gardiner, Jack M; Harper, Lisa C; Schaeffer, Mary L; Walsh, Jesse R; Sen, Taner Z; Cho, Kyoung Tak; Schott, David A; Braun, Bremen L; Dietze, Miranda; Dunfee, Brittney; Elsik, Christine G; Manchanda, Nancy; Coe, Ed; Sachs, Marty; Stinard, Philip; Tolbert, Josh; Zimmerman, Shane; Andorf, Carson M.
Afiliação
  • Portwood JL; USDA-ARS Corn Insects and Crop Genetics Research Unit, Ames, IA 50011, USA.
  • Woodhouse MR; Department of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, IA 50011, USA.
  • Cannon EK; USDA-ARS Corn Insects and Crop Genetics Research Unit, Ames, IA 50011, USA.
  • Gardiner JM; Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA.
  • Harper LC; USDA-ARS Corn Insects and Crop Genetics Research Unit, Ames, IA 50011, USA.
  • Schaeffer ML; Division of Plant Sciences, University of Missouri, Columbia, MO 65211, USA.
  • Walsh JR; USDA-ARS Corn Insects and Crop Genetics Research Unit, Ames, IA 50011, USA.
  • Sen TZ; USDA-ARS Crop Improvement and Genetics Research Unit, Albany, CA 94710, USA.
  • Cho KT; Department of Genetics, Development, and Cell Biology, Iowa State University, Ames, IA 50011, USA.
  • Schott DA; Department of Computer Science, Iowa State University, Ames, IA 50011, USA.
  • Braun BL; Department of Computer Science, Iowa State University, Ames, IA 50011, USA.
  • Dietze M; USDA-ARS Corn Insects and Crop Genetics Research Unit, Ames, IA 50011, USA.
  • Dunfee B; Department of Genetics, Development, and Cell Biology, Iowa State University, Ames, IA 50011, USA.
  • Elsik CG; Department of Genetics, Development, and Cell Biology, Iowa State University, Ames, IA 50011, USA.
  • Manchanda N; Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA.
  • Coe E; Division of Plant Sciences, University of Missouri, Columbia, MO 65211, USA.
  • Sachs M; Department of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, IA 50011, USA.
  • Stinard P; Division of Plant Sciences, University of Missouri, Columbia, MO 65211, USA.
  • Tolbert J; USDA/ARS/MWA Soybean/Maize Germplasm, Pathology & Genetics Research Unit, Urbana, IL, 61801, USA.
  • Zimmerman S; USDA/ARS/MWA Soybean/Maize Germplasm, Pathology & Genetics Research Unit, Urbana, IL, 61801, USA.
  • Andorf CM; USDA/ARS/MWA Soybean/Maize Germplasm, Pathology & Genetics Research Unit, Urbana, IL, 61801, USA.
Nucleic Acids Res ; 47(D1): D1146-D1154, 2019 01 08.
Article em En | MEDLINE | ID: mdl-30407532
Since its 2015 update, MaizeGDB, the Maize Genetics and Genomics database, has expanded to support the sequenced genomes of many maize inbred lines in addition to the B73 reference genome assembly. Curation and development efforts have targeted high quality datasets and tools to support maize trait analysis, germplasm analysis, genetic studies, and breeding. MaizeGDB hosts a wide range of data including recent support of new data types including genome metadata, RNA-seq, proteomics, synteny, and large-scale diversity. To improve access and visualization of data types several new tools have been implemented to: access large-scale maize diversity data (SNPversity), download and compare gene expression data (qTeller), visualize pedigree data (Pedigree Viewer), link genes with phenotype images (MaizeDIG), and enable flexible user-specified queries to the MaizeGDB database (MaizeMine). MaizeGDB also continues to be the community hub for maize research, coordinating activities and providing technical support to the maize research community. Here we report the changes MaizeGDB has made within the last three years to keep pace with recent software and research advances, as well as the pan-genomic landscape that cheaper and better sequencing technologies have made possible. MaizeGDB is accessible online at https://www.maizegdb.org.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genoma de Planta / Biologia Computacional / Zea mays / Genômica / Bases de Dados Genéticas Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genoma de Planta / Biologia Computacional / Zea mays / Genômica / Bases de Dados Genéticas Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos