Predictive networks: a flexible, open source, web application for integration and analysis of human gene networks
| Autor: | Amira Djebbari, Catharina Olsen, John Quackenbush, Gianluca Bontempi, Christopher Bouton, Benjamin Haibe-Kains, Mick Correll |
|---|---|
| Přispěvatelé: | Clinical sciences, Medical Genetics, Informatics and Applied Informatics, Cellular and Molecular Immunology |
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Gene regulatory network
Context (language use) Biology computer.software_genre Bioinformatics 03 medical and health sciences User-Computer Interface 0302 clinical medicine Gene interaction Databases Genetic Genetics Web application Humans Gene Regulatory Networks 030304 developmental biology 0303 health sciences Internet business.industry Articles Genomics Sciences bio-médicales et agricoles Pipeline (software) Visualization Phenotype 030220 oncology & carcinogenesis The Internet Data as a service Data mining business computer Sciences exactes et naturelles |
| Zdroj: | Nucleic acids research, 40 (Database issue Nucleic Acids Research |
| Popis: | Genomics provided us with an unprecedented quantity of data on the genes that are activated or repressed in a wide range of phenotypes. We have increasingly come to recognize that defining the networks and pathways underlying these phenotypes requires both the integration of multiple data types and the development of advanced computational methods to infer relationships between the genes and to estimate the predictive power of the networks through which they interact. To address these issues we have developed Predictive Networks (PN), a flexible, open-source, web-based application and data services framework that enables the integration, navigation, visualization and analysis of gene interaction networks. The primary goal of PN is to allow biomedical researchers to evaluate experimentally derived gene lists in the context of large-scale gene interaction networks. The PN analytical pipeline involves two key steps. The first is the collection of a comprehensive set of known gene interactions derived from a variety of publicly available sources. The second is to use these 'known' interactions together with gene expression data to infer robust gene networks. The PN web application is accessible from http://predictivenetworks.org. The PN code base is freely available at https://sourceforge.net/projects/predictivenets/. Journal Article Research Support, N.I.H. Extramural info:eu-repo/semantics/published |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|