iCTNet2: integrating heterogeneous biological interactions to understand complex traits

iCTNet (integrated Complex Traits Networks) version 2 is a Cytoscape app and database that allows researchers to build heterogeneous networks by integrating a variety of biological interactions, thus offering a systems-level view of human complex traits. iCTNet2 is built from a variety of large-scal...

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Detalles Bibliográficos
Autores principales: Wang, Lili, Himmelstein, Daniel S., Santaniello, Adam, Parvin, Mousavi, Baranzini, Sergio E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2015
Materias:
Software Tool Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4706053/
https://www.ncbi.nlm.nih.gov/pubmed/26834985
http://dx.doi.org/10.12688/f1000research.6836.2
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author Wang, Lili
Himmelstein, Daniel S.
Santaniello, Adam
Parvin, Mousavi
Baranzini, Sergio E.
author_facet Wang, Lili
Himmelstein, Daniel S.
Santaniello, Adam
Parvin, Mousavi
Baranzini, Sergio E.
author_sort Wang, Lili
collection PubMed
description iCTNet (integrated Complex Traits Networks) version 2 is a Cytoscape app and database that allows researchers to build heterogeneous networks by integrating a variety of biological interactions, thus offering a systems-level view of human complex traits. iCTNet2 is built from a variety of large-scale biological datasets, collected from public repositories to facilitate the building, visualization and analysis of heterogeneous biological networks in a comprehensive fashion via the Cytoscape platform. iCTNet2 is freely available at the Cytoscape app store.
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spelling pubmed-47060532016-01-29 iCTNet2: integrating heterogeneous biological interactions to understand complex traits Wang, Lili Himmelstein, Daniel S. Santaniello, Adam Parvin, Mousavi Baranzini, Sergio E. F1000Res Software Tool Article iCTNet (integrated Complex Traits Networks) version 2 is a Cytoscape app and database that allows researchers to build heterogeneous networks by integrating a variety of biological interactions, thus offering a systems-level view of human complex traits. iCTNet2 is built from a variety of large-scale biological datasets, collected from public repositories to facilitate the building, visualization and analysis of heterogeneous biological networks in a comprehensive fashion via the Cytoscape platform. iCTNet2 is freely available at the Cytoscape app store. F1000Research 2015-09-28 /pmc/articles/PMC4706053/ /pubmed/26834985 http://dx.doi.org/10.12688/f1000research.6836.2 Text en Copyright: © 2015 Wang L et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software Tool Article
Wang, Lili
Himmelstein, Daniel S.
Santaniello, Adam
Parvin, Mousavi
Baranzini, Sergio E.
iCTNet2: integrating heterogeneous biological interactions to understand complex traits
title iCTNet2: integrating heterogeneous biological interactions to understand complex traits
title_full iCTNet2: integrating heterogeneous biological interactions to understand complex traits
title_fullStr iCTNet2: integrating heterogeneous biological interactions to understand complex traits
title_full_unstemmed iCTNet2: integrating heterogeneous biological interactions to understand complex traits
title_short iCTNet2: integrating heterogeneous biological interactions to understand complex traits
title_sort ictnet2: integrating heterogeneous biological interactions to understand complex traits
topic Software Tool Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4706053/
https://www.ncbi.nlm.nih.gov/pubmed/26834985
http://dx.doi.org/10.12688/f1000research.6836.2
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