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NaviCom: a web application to create interactive molecular network portraits using multi-level omics data.
Dorel, Mathurin; Viara, Eric; Barillot, Emmanuel; Zinovyev, Andrei; Kuperstein, Inna.
Afiliação
  • Dorel M; Institut Curie, 26 rue d'Ulm, F-75005 Paris, France.
  • Viara E; Inserm, U900 F-75005, Paris France.
  • Barillot E; Mines Paris Tech, F-77305 Cedex Fontainebleau, France.
  • Zinovyev A; PSL Research University, Paris F-75005, France.
  • Kuperstein I; Ecole Normale Supérieure, 46 rue d'Ulm, Paris, France.
Database (Oxford) ; 2017(1)2017 01 01.
Article em En | MEDLINE | ID: mdl-28415074
ABSTRACT
Human diseases such as cancer are routinely characterized by high-throughput molecular technologies, and multi-level omics data are accumulated in public databases at increasing rate. Retrieval and visualization of these data in the context of molecular network maps can provide insights into the pattern of regulation of molecular functions reflected by an omics profile. In order to make this task easy, we developed NaviCom, a Python package and web platform for visualization of multi-level omics data on top of biological network maps. NaviCom is bridging the gap between cBioPortal, the most used resource of large-scale cancer omics data and NaviCell, a data visualization web service that contains several molecular network map collections. NaviCom proposes several standardized modes of data display on top of molecular network maps, allowing addressing specific biological questions. We illustrate how users can easily create interactive network-based cancer molecular portraits via NaviCom web interface using the maps of Atlas of Cancer Signalling Network (ACSN) and other maps. Analysis of these molecular portraits can help in formulating a scientific hypothesis on the molecular mechanisms deregulated in the studied disease. Database URL NaviCom is available at https//navicom.curie.fr.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Internet / Neoplasias Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Internet / Neoplasias Idioma: En Ano de publicação: 2017 Tipo de documento: Article