Plant Reactome: a knowledgebase and resource for comparative pathway analysis
| Autor: | Pankaj Jaiswal, Doreen Ware, Lincoln Stein, Marcela K. Tello-Ruiz, Antonio Fabregat Mundo, Jason Kiff, Alfonso Munoz-Pomer, Irene Papatheodorou, Sushma Naithani, Priyanka Garg, Parul Gupta, Evan E Bolton, Peter D'Eustachio, Justin Cook, Suhaib Mohammed, Andrew Olson, Tiejun Cheng, Sharon Wei, Daemon A Dikeman, Justin Elser, Justin Preece |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0106 biological sciences
Proteomics Transport pathways Computational biology Biology Web Browser 01 natural sciences 03 medical and health sciences Upload Resource (project management) Databases Genetic Genetics Database Issue Humans Metabolomics Gene Regulatory Networks Hormone signaling 030304 developmental biology 2. Zero hunger 0303 health sciences Transcriptional Networks food and beverages Computational Biology Genomics 15. Life on land Plants Pathway analysis Data model Plant species Metabolic Networks and Pathways 010606 plant biology & botany Signal Transduction |
| Zdroj: | Nucleic Acids Research |
| ISSN: | 1362-4962 0305-1048 |
| Popis: | Plant Reactome (https://plantreactome.gramene.org) is an open-source, comparative plant pathway knowledgebase of the Gramene project. It uses Oryza sativa (rice) as a reference species for manual curation of pathways and extends pathway knowledge to another 82 plant species via gene-orthology projection using the Reactome data model and framework. It currently hosts 298 reference pathways, including metabolic and transport pathways, transcriptional networks, hormone signaling pathways, and plant developmental processes. In addition to browsing plant pathways, users can upload and analyze their omics data, such as the gene-expression data, and overlay curated or experimental gene-gene interaction data to extend pathway knowledge. The curation team actively engages researchers and students on gene and pathway curation by offering workshops and online tutorials. The Plant Reactome supports, implements and collaborates with the wider community to make data and tools related to genes, genomes, and pathways Findable, Accessible, Interoperable and Re-usable (FAIR). |
| Databáze: | OpenAIRE |
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