@article{52, author = {Marcela Tello-Ruiz and Sushma Naithani and Joshua Stein and Parul Gupta and Michael Campbell and Andrew Olson and Sharon Wei and Justin Preece and Matthew Geniza and Yinping Jiao and Young Lee and Bo Wang and Joseph Mulvaney and Kapeel Chougule and Justin Elser and Noor Al-Bader and Sunita Kumari and James Thomason and Vivek Kumar and Daniel Bolser and Guy Naamati and Electra Tapanari and Nuno Fonseca and Laura Huerta and Haider Iqbal and Maria Keays and Alfonso Fuentes and Amy Tang and Antonio Fabregat and Peter D'Eustachio and Joel Weiser and Lincoln Stein and Robert Petryszak and Irene Papatheodorou and Paul Kersey and Patti Lockhart and Crispin Taylor and Pankaj Jaiswal and Doreen Ware}, title = {Gramene 2018: unifying comparative genomics and pathway resources for plant research.}, abstract = {Gramene (http://www.gramene.org) is a knowledgebase for comparative functional analysis in major crops and model plant species. The current release, #54, includes over 1.7 million genes from 44 reference genomes, most of which were organized into 62,367 gene families through orthologous and paralogous gene classification, whole-genome alignments, and synteny. Additional gene annotations include ontology-based protein structure and function; genetic, epigenetic, and phenotypic diversity; and pathway associations. Gramene's Plant Reactome provides a knowledgebase of cellular-level plant pathway networks. Specifically, it uses curated rice reference pathways to derive pathway projections for an additional 66 species based on gene orthology, and facilitates display of gene expression, gene-gene interactions, and user-defined omics data in the context of these pathways. As a community portal, Gramene integrates best-of-class software and infrastructure components including the Ensembl genome browser, Reactome pathway browser, and Expression Atlas widgets, and undergoes periodic data and software upgrades. Via powerful, intuitive search interfaces, users can easily query across various portals and interactively analyze search results by clicking on diverse features such as genomic context, highly augmented gene trees, gene expression anatomograms, associated pathways, and external informatics resources. All data in Gramene are accessible through both visual and programmatic interfaces.}, year = {2018}, journal = {Nucleic acids research}, volume = {46}, pages = {D1181-D1189}, month = {2018 Jan 04}, issn = {1362-4962}, doi = {10.1093/nar/gkx1111}, language = {eng}, }