Software:EsyN
| Original author(s) | Cambridge Systems Biology Centre |
|---|---|
| Initial release | September 2014 |
| Stable release | 2.1
/ 17 January 2016 |
| Written in | JavaScript |
| Type | Bioinformatics software |
| Website | www |
esyN (Easy Networks)[1][2] is a bioinformatics web-tool for visualizing, building and analysing molecular interaction networks. esyN is based on cytoscape.js and its aim is to make it easy for everybody to perform network analysis. esyN is connected with a number of databases - specifically: pombase, flybase, and most InterMine data warehouses, DrugBank, and BioGRID from which its possible to download the protein protein or genetic interactions for any protein or gene in a number of different organisms.
Networks published in esyN can be easily published in other websites using the <iframe> methodology.[3]
Usage
As of January 2016 esyN is being viewed by 1500 unique users a day (about 16000 a month) according to Google Analytics.
The embedding capabilities of esyN are used by a number of databases to display their interaction data:
See also
References
- ↑ Bean (2014). "esyN: Network Building, Sharing and Publishing.". PLOS ONE 9 (9). doi:10.1371/journal.pone.0106035. PMID 25181461.
- ↑ Hoffman (2015). "An Ancient Yeast for Young Geneticists: A Primer on the Schizosaccharomyces pombe Model System". Genetics 201 (2): 403–423. doi:10.1534/genetics.115.181503. PMID 26447128. PMC 4596657. http://genetics.org/content/201/2/403.long.
- ↑ "Tutorial: Welcome to esyN". esyN.org. 2018. http://www.esyn.org/tutorial.html.
- ↑ "Physical Interaction report". FlyBase. 21 December 2018. http://flybase.org/reports/FBig0000095901.html.
- ↑ "Allele: ttk[MI01174 D. melanogaster"]. FlyMine. November 2018. http://www.flymine.org/flymine/report.do?id=1007664.
- ↑ "Report page". HumanMine. November 2018. http://www.humanmine.org/humanmine/report.do?id=127344656&trail=%7C127344656.
- ↑ "PomBase: a Global Core Biodata Resource—growth, collaboration, and sustainability". Genetics 227 (1). May 2024. doi:10.1093/genetics/iyae007. PMID 38376816.
External links
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