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Gramene 2018: unifying comparative genomics and pathway resources for plant research

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 paralogo...

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Autores principales: Tello-Ruiz, Marcela K, Naithani, Sushma, Stein, Joshua C, Gupta, Parul, Campbell, Michael, Olson, Andrew, Wei, Sharon, Preece, Justin, Geniza, Matthew J, Jiao, Yinping, Lee, Young Koung, Wang, Bo, Mulvaney, Joseph, Chougule, Kapeel, Elser, Justin, Al-Bader, Noor, Kumari, Sunita, Thomason, James, Kumar, Vivek, Bolser, Daniel M, Naamati, Guy, Tapanari, Electra, Fonseca, Nuno, Huerta, Laura, Iqbal, Haider, Keays, Maria, Munoz-Pomer Fuentes, Alfonso, Tang, Amy, Fabregat, Antonio, D’Eustachio, Peter, Weiser, Joel, Stein, Lincoln D, Petryszak, Robert, Papatheodorou, Irene, Kersey, Paul J, Lockhart, Patti, Taylor, Crispin, Jaiswal, Pankaj, Ware, Doreen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753211/
https://www.ncbi.nlm.nih.gov/pubmed/29165610
http://dx.doi.org/10.1093/nar/gkx1111
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author Tello-Ruiz, Marcela K
Naithani, Sushma
Stein, Joshua C
Gupta, Parul
Campbell, Michael
Olson, Andrew
Wei, Sharon
Preece, Justin
Geniza, Matthew J
Jiao, Yinping
Lee, Young Koung
Wang, Bo
Mulvaney, Joseph
Chougule, Kapeel
Elser, Justin
Al-Bader, Noor
Kumari, Sunita
Thomason, James
Kumar, Vivek
Bolser, Daniel M
Naamati, Guy
Tapanari, Electra
Fonseca, Nuno
Huerta, Laura
Iqbal, Haider
Keays, Maria
Munoz-Pomer Fuentes, Alfonso
Tang, Amy
Fabregat, Antonio
D’Eustachio, Peter
Weiser, Joel
Stein, Lincoln D
Petryszak, Robert
Papatheodorou, Irene
Kersey, Paul J
Lockhart, Patti
Taylor, Crispin
Jaiswal, Pankaj
Ware, Doreen
author_facet Tello-Ruiz, Marcela K
Naithani, Sushma
Stein, Joshua C
Gupta, Parul
Campbell, Michael
Olson, Andrew
Wei, Sharon
Preece, Justin
Geniza, Matthew J
Jiao, Yinping
Lee, Young Koung
Wang, Bo
Mulvaney, Joseph
Chougule, Kapeel
Elser, Justin
Al-Bader, Noor
Kumari, Sunita
Thomason, James
Kumar, Vivek
Bolser, Daniel M
Naamati, Guy
Tapanari, Electra
Fonseca, Nuno
Huerta, Laura
Iqbal, Haider
Keays, Maria
Munoz-Pomer Fuentes, Alfonso
Tang, Amy
Fabregat, Antonio
D’Eustachio, Peter
Weiser, Joel
Stein, Lincoln D
Petryszak, Robert
Papatheodorou, Irene
Kersey, Paul J
Lockhart, Patti
Taylor, Crispin
Jaiswal, Pankaj
Ware, Doreen
author_sort Tello-Ruiz, Marcela K
collection PubMed
description 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.
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spelling pubmed-57532112018-01-05 Gramene 2018: unifying comparative genomics and pathway resources for plant research Tello-Ruiz, Marcela K Naithani, Sushma Stein, Joshua C Gupta, Parul Campbell, Michael Olson, Andrew Wei, Sharon Preece, Justin Geniza, Matthew J Jiao, Yinping Lee, Young Koung Wang, Bo Mulvaney, Joseph Chougule, Kapeel Elser, Justin Al-Bader, Noor Kumari, Sunita Thomason, James Kumar, Vivek Bolser, Daniel M Naamati, Guy Tapanari, Electra Fonseca, Nuno Huerta, Laura Iqbal, Haider Keays, Maria Munoz-Pomer Fuentes, Alfonso Tang, Amy Fabregat, Antonio D’Eustachio, Peter Weiser, Joel Stein, Lincoln D Petryszak, Robert Papatheodorou, Irene Kersey, Paul J Lockhart, Patti Taylor, Crispin Jaiswal, Pankaj Ware, Doreen Nucleic Acids Res Database Issue 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. Oxford University Press 2018-01-04 2017-11-20 /pmc/articles/PMC5753211/ /pubmed/29165610 http://dx.doi.org/10.1093/nar/gkx1111 Text en Published by Oxford University Press on behalf of Nucleic Acids Research 2017. This work is written by (a) US Government employee(s) and is in the public domain in the US.
spellingShingle Database Issue
Tello-Ruiz, Marcela K
Naithani, Sushma
Stein, Joshua C
Gupta, Parul
Campbell, Michael
Olson, Andrew
Wei, Sharon
Preece, Justin
Geniza, Matthew J
Jiao, Yinping
Lee, Young Koung
Wang, Bo
Mulvaney, Joseph
Chougule, Kapeel
Elser, Justin
Al-Bader, Noor
Kumari, Sunita
Thomason, James
Kumar, Vivek
Bolser, Daniel M
Naamati, Guy
Tapanari, Electra
Fonseca, Nuno
Huerta, Laura
Iqbal, Haider
Keays, Maria
Munoz-Pomer Fuentes, Alfonso
Tang, Amy
Fabregat, Antonio
D’Eustachio, Peter
Weiser, Joel
Stein, Lincoln D
Petryszak, Robert
Papatheodorou, Irene
Kersey, Paul J
Lockhart, Patti
Taylor, Crispin
Jaiswal, Pankaj
Ware, Doreen
Gramene 2018: unifying comparative genomics and pathway resources for plant research
title Gramene 2018: unifying comparative genomics and pathway resources for plant research
title_full Gramene 2018: unifying comparative genomics and pathway resources for plant research
title_fullStr Gramene 2018: unifying comparative genomics and pathway resources for plant research
title_full_unstemmed Gramene 2018: unifying comparative genomics and pathway resources for plant research
title_short Gramene 2018: unifying comparative genomics and pathway resources for plant research
title_sort gramene 2018: unifying comparative genomics and pathway resources for plant research
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753211/
https://www.ncbi.nlm.nih.gov/pubmed/29165610
http://dx.doi.org/10.1093/nar/gkx1111
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