Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

iCTNet: a Cytoscape plugin to produce and analyze integrative complex traits networks.

BMC bioinformatics - 26 Sept 2011

Wang Lili, Khankhanian Pouya, Baranzini Sergio E, Mousavi Parvin

Abstract excerpt

BACKGROUND: The speed at which biological datasets are being accumulated stands in contrast to our ability to integrate them meaningfully. Large-scale biological databases containing datasets of genes, proteins, cells, organs, and diseases are being created but they are not connected. Integration of these vast but heterogeneous sources of information will allow the systematic and comprehensive analysis of...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Databases, Factual
Share to Databases, Genetic
Share to Disease

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome-Wide Association Study

Share to Polymorphism, Single Nucleotide

Share to Proteins

Share to Software

Share to Systems Integration

Source

Open in PubMed Open full text

Identifiers

PMID: 21943367
DOI: 10.1186/1471-2105-12-380
PMCID: PMC3190406

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

iCTNet: a Cytoscape plugin to produce and analyze integrative complex traits networks.PMID 21943367Read ↗

NETMAGE: A human disease phenotype map generator for the network-based visualization of phenome-wide association study results.Semantic proximity Read ↗

State of the Interactomes: an evaluation of molecular networks for generating biological insightsSemantic proximity Read ↗

PhenomeScape: a cytoscape app to identify differentially regulated sub-networks using known disease associations.Semantic proximity Read ↗

DiseaseConnect: a comprehensive web server for mechanism-based disease-disease connections.Semantic proximity Read ↗

ANIMA: Association network integration for multiscale analysisSemantic proximity Read ↗

Visualizing novel connections and genetic similarities across diseases using a network-medicine based approach.Semantic proximity Read ↗

The multiplex network of human diseasesSemantic proximity Read ↗

Systematic Evaluation of Molecular Networks for Discovery of Disease Genes.Semantic proximity Read ↗

Network medicine approaches to the genetics of complex diseases.Semantic proximity Read ↗

SmCCNet 2.0: A Comprehensive Tool for Multi-omics Network Inference with Shiny VisualizationSemantic proximity Read ↗

Predictive networks: a flexible, open source, web application for integration and analysis of human gene networks.Semantic proximity Read ↗

Genetic Interaction Network Interpretation: A Tidy Data Science Perspective.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.