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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.
Nucleic Acids Res ; 47(D1): D1146-D1154, 2019 Jan 08.
Artigo em Inglês | 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.