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Open AccessJournal ArticleDOI

Integration of biological networks and gene expression data using Cytoscape

TLDR
This protocol explains how to use Cytoscape to analyze the results of mRNA expression profiling, and other functional genomics and proteomics experiments, in the context of an interaction network obtained for genes of interest.
Abstract
Cytoscape is a free software package for visualizing, modeling and analyzing molecular and genetic interaction networks. This protocol explains how to use Cytoscape to analyze the results of mRNA expression profiling, and other functional genomics and proteomics experiments, in the context of an interaction network obtained for genes of interest. Five major steps are described: (i) obtaining a gene or protein network, (ii) displaying the network using layout algorithms, (iii) integrating with gene expression and other functional attributes, (iv) identifying putative complexes and functional modules and (v) identifying enriched Gene Ontology annotations in the network. These steps provide a broad sample of the types of analyses performed by Cytoscape.

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Journal ArticleDOI

The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible.

TL;DR: In the latest version 10.5 of STRING, the biggest changes are concerned with data dissemination: the web frontend has been completely redesigned to reduce dependency on outdated browser technologies, and the database can now also be queried from inside the popular Cytoscape software framework.
Journal ArticleDOI

REVIGO Summarizes and Visualizes Long Lists of Gene Ontology Terms

TL;DR: REVIGO is a Web server that summarizes long, unintelligible lists of GO terms by finding a representative subset of the terms using a simple clustering algorithm that relies on semantic similarity measures.
Journal ArticleDOI

Cytoscape 2.8

TL;DR: Version 2.8 introduces two powerful new features—Custom Node Graphics and Attribute Equations—which can be used jointly to greatly enhance Cytoscape's data integration and visualization capabilities.
Journal ArticleDOI

The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored

TL;DR: An update on the online database resource Search Tool for the Retrieval of Interacting Genes (STRING), which provides uniquely comprehensive coverage and ease of access to both experimental as well as predicted interaction information.
References
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Book ChapterDOI

Gene expression omnibus : Microarray data storage, submission, retrieval, and analysis

TL;DR: The Gene Expression Omnibus repository at the National Center for Biotechnology Information archives and freely distributes high-throughput molecular abundance data, predominantly gene expression data generated by DNA microarray technology, which is described in this chapter.
Journal ArticleDOI

Probabilistic model of the human protein-protein interaction network.

TL;DR: It is demonstrated that a probabilistic analysis integrating model organism interactome data, protein domain data, genome-wide gene expression data and functional annotation data predicts nearly 40,000 protein-protein interactions in humans—a result comparable to those obtained with experimental and computational approaches in model organisms.
Journal ArticleDOI

How Reliable are Experimental Protein–Protein Interaction Data?

TL;DR: The computation offered here provides an intelligible mean to assess directly the rate of true positives in a data set of experimentally determined interacting protein pairs, showing that the reliability of high-throughput yeast two-hybrid assays is about 50%, and that the size of the yeast interactome is estimated to be 10,000-16,600 interactions.
Journal ArticleDOI

Pathguide: a Pathway Resource List

TL;DR: This meta-database provides an overview of more than 190 web-accessible biological pathway and network databases, which include databases on metabolic pathways, signaling pathways, transcription factor targets, gene regulatory networks, genetic interactions, protein–compound interactions, and protein–protein interactions.
Journal ArticleDOI

Dynamic complex formation during the yeast cell cycle.

TL;DR: It is shown that additional regulation through targeted degradation and phosphorylation by Cdc28p (Cdk1) specifically affects the periodically expressed proteins.
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