Gramene 2021: harnessing the power of comparative genomics and pathways for plant research
Author(s) -
Marcela K. TelloRuiz,
Sushma Naithani,
Parul Gupta,
Andrew Olson,
Sharon Wei,
Justin Preece,
Yinping Jiao,
Bo Wang,
Kapeel Chougule,
Priyanka Garg,
Justin Elser,
Sunita Kumari,
Vivek Kumar,
Bruno ContrerasMoreira,
Guy Naamati,
Nancy George,
Justin Cook,
Dan Bolser,
Peter D’Eustachio,
Lincoln Stein,
Amit Gupta,
Weijia Xu,
Jennifer Regala,
Irene Papatheodorou,
Paul Kersey,
Paul Flicek,
Crispin B. Taylor,
Pankaj Jaiswal,
Doreen Ware
Publication year - 2020
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkaa979
Subject(s) - biology , computational biology , genomics , comparative genomics , genetics , functional genomics , genome , evolutionary biology , microbiology and biotechnology , gene
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.
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