Guan Lab

Department of Computational Medicine & Bioinformatics
Wed, 11/06/2013 - 10:17 -- gl_admin
TitleIMP: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks.
Publication TypeJournal Article
Year of Publication2012
AuthorsWong AK, Park CY, Greene CS, Bongo LA, Guan Y, Troyanskaya OG
JournalNucleic Acids Res
IssueWeb Server issue
Date Published2012 Jul
KeywordsAnimals, Computer Graphics, Gene Regulatory Networks, Genes, Genomics, Humans, Internet, Mice, Proteins, Rats, Repressor Proteins, Software, Systems Integration, Zebrafish Proteins

Integrative multi-species prediction (IMP) is an interactive web server that enables molecular biologists to interpret experimental results and to generate hypotheses in the context of a large cross-organism compendium of functional predictions and networks. The system provides a framework for biologists to analyze their candidate gene sets in the context of functional networks, as they expand or focus these sets by mining functional relationships predicted from integrated high-throughput data. IMP integrates prior knowledge and data collections from multiple organisms in its analyses. Through flexible and interactive visualizations, researchers can compare functional contexts and interpret the behavior of their gene sets across organisms. Additionally, IMP identifies homologs with conserved functional roles for knowledge transfer, allowing for accurate function predictions even for biological processes that have very few experimental annotations in a given organism. IMP currently supports seven organisms (Homo sapiens, Mus musculus, Rattus novegicus, Drosophila melanogaster, Danio rerio, Caenorhabditis elegans and Saccharomyces cerevisiae), does not require any registration or installation and is freely available for use at

Alternate JournalNucleic Acids Res.
PubMed ID22684505
PubMed Central IDPMC3394282
Grant ListP50 GM071508 / GM / NIGMS NIH HHS / United States
R01 GM071966 / GM / NIGMS NIH HHS / United States
R01 GM071966 / GM / NIGMS NIH HHS / United States
R01 HG005998 / HG / NHGRI NIH HHS / United States
R24 OD011194 / OD / NIH HHS / United States
R24 RR032659 / RR / NCRR NIH HHS / United States
T32 HG003284 / HG / NHGRI NIH HHS / United States