MetNet Online: a novel integrated resource for plant systems biology

dc.contributor.author Sucaet, Yves
dc.contributor.author Wang, Yi
dc.contributor.author Wurtele, Eve
dc.contributor.department Department of Genetics, Development, and Cell Biology (LAS)
dc.contributor.department Bioinformatics and Computational Biology Program
dc.date 2018-02-17T06:40:21.000
dc.date.accessioned 2020-06-30T04:01:59Z
dc.date.available 2020-06-30T04:01:59Z
dc.date.copyright Sun Jan 01 00:00:00 UTC 2012
dc.date.issued 2012-10-15
dc.description.abstract <p><strong>Background</strong><br />Plants are important as foods, pharmaceuticals, biorenewable chemicals, fuel resources, bioremediation tools and general tools for recombinant technology. The study of plant biological pathways is advanced by easy access to integrated data sources. Today, various plant data sources are scattered throughout the web, making it increasingly complicated to build comprehensive datasets.</p> <p><strong>Results</strong><br />MetNet Online is a web-based portal that provides access to a regulatory and metabolic plant pathway database. The database and portal integrate Arabidopsis, soybean (Glycine max) and grapevine (Vitis vinifera) data. Pathways are enriched with known or predicted information on sub cellular location. MetNet Online enables pathways, interactions and entities to be browsed or searched by multiple categories such as sub cellular compartment, pathway ontology, and GO term. In addition to this, the “My MetNet” feature allows registered users to bookmark content and track, import and export customized lists of entities. Users can also construct custom networks using existing pathways and/or interactions as building blocks.</p> <p><strong>Conclusion</strong><br />The site can be reached at http://www.metnetonline.org. Extensive video tutorials on how to use the site are available through http://www.metnetonline.org/tutorial/.</p>
dc.description.comments <p>This article is from <em>BMC Bioinformatics</em> 2012, <strong>13</strong>:267. doi:<a href="http://dx.doi.org/10.1186/1471-2105-13-267" target="_blank">10.1186/1471-2105-13-267</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/gdcb_las_pubs/22/
dc.identifier.articleid 1022
dc.identifier.contextkey 7879923
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath gdcb_las_pubs/22
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/37894
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/gdcb_las_pubs/22/1471_2105_13_267.pdf|||Fri Jan 14 22:40:44 UTC 2022
dc.source.uri 10.1186/1471-2105-13-267
dc.subject.disciplines Bioinformatics
dc.subject.disciplines Computational Biology
dc.subject.disciplines Systems Biology
dc.title MetNet Online: a novel integrated resource for plant systems biology
dc.type article
dc.type.genre article
dspace.entity.type Publication
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