| Literature DB >> 33170273 |
Marcela K Tello-Ruiz1, Sushma Naithani2, Parul Gupta2, Andrew Olson1, Sharon Wei1, Justin Preece2, Yinping Jiao1, Bo Wang1, Kapeel Chougule1, Priyanka Garg2, Justin Elser2, Sunita Kumari1, Vivek Kumar1, Bruno Contreras-Moreira3, Guy Naamati3, Nancy George3, Justin Cook4, Daniel Bolser3,5, Peter D'Eustachio6, Lincoln D Stein7,8, Amit Gupta9, Weijia Xu9, Jennifer Regala10,11, Irene Papatheodorou3, Paul J Kersey3,12, Paul Flicek3, Crispin Taylor10, Pankaj Jaiswal2, Doreen Ware1,13.
Abstract
Gramene (http://www.gramene.org), a knowledgebase founded on comparative functional analyses of genomic and pathway data for model plants and major crops, supports agricultural researchers worldwide. The resource is committed to open access and reproducible science based on the FAIR data principles. Since the last NAR update, we made nine releases; doubled the genome portal's content; expanded curated genes, pathways and expression sets; and implemented the Domain Informational Vocabulary Extraction (DIVE) algorithm for extracting gene function information from publications. The current release, #63 (October 2020), hosts 93 reference genomes-over 3.9 million genes in 122 947 families with orthologous and paralogous classifications. Plant Reactome portrays pathway networks using a combination of manual biocuration in rice (320 reference pathways) and orthology-based projections to 106 species. The Reactome platform facilitates comparison between reference and projected pathways, gene expression analyses and overlays of gene-gene interactions. Gramene integrates ontology-based protein structure-function annotation; information on genetic, epigenetic, expression, and phenotypic diversity; and gene functional annotations extracted from plant-focused journals using DIVE. We train plant researchers in biocuration of genes and pathways; host curated maize gene structures as tracks in the maize genome browser; and integrate curated rice genes and pathways in the Plant Reactome. Published by Oxford University Press on behalf of Nucleic Acids Research 2020.Entities:
Year: 2020 PMID: 33170273 DOI: 10.1093/nar/gkaa979
Source DB: PubMed Journal: Nucleic Acids Res ISSN: 0305-1048 Impact factor: 16.971