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EsyN

esyN (Easy Networks)
Original authorCambridge Systems Biology Centre
ReleaseSeptember 2014
Stable release
2.1 / 17 January 2016; 10 years ago (2016-01-17)
Written inJavaScript
TypeBioinformatics software
Websitewww.esyn.org

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

  1. ^ Bean; et al. (2014). "esyN: Network Building, Sharing and Publishing". PLOS ONE. 9 (9) e106035. doi:10.1371/journal.pone.0106035. PMC 4152123. PMID 25181461.
  2. ^ Hoffman; et al. (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. PMC 4596657. PMID 26447128.
  3. ^ "Tutorial: Welcome to esyN". esyN.org. 2018. Archived from the original on August 22, 2014. Retrieved 10 February 2019.
  4. ^ "Physical Interaction report". FlyBase. 21 December 2018. Retrieved 10 February 2019.
  5. ^ "Allele: ttk[MI01174] D. melanogaster". FlyMine. November 2018. Retrieved 10 February 2019.
  6. ^ "Report page". HumanMine. November 2018. Retrieved 10 February 2019.
  7. ^ Rutherford KM, Lera-Ramírez M, Wood V (May 2024). "PomBase: a Global Core Biodata Resource—growth, collaboration, and sustainability". Genetics. 227 (1). doi:10.1093/genetics/iyae007. PMC 11075564. PMID 38376816.

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