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NaviCom: a web application to create interactive molecular network portraits using multi-level omics data
Author(s) -
Mathurin Dorel,
Eric Viara,
Emmanuel Barillot,
Andreï Zinovyev,
Inna Kuperstein
Publication year - 2017
Publication title -
database
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.406
H-Index - 62
ISSN - 1758-0463
DOI - 10.1093/database/bax026
Subject(s) - computer science , visualization , omics , python (programming language) , the internet , annotation , biological network , data visualization , interface (matter) , world wide web , data science , information retrieval , data mining , bioinformatics , biology , artificial intelligence , operating system , bubble , maximum bubble pressure method , parallel computing
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.

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