ArticleNucleic acids research2012
IMP: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks.
Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
61 citing papers in PubMed, 137 citations in OpenAlex.
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- Functional network community detection can disaggregate and filter multiple underlying pathways in enrichment analyses.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2018Article
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- The mechanistic implications of gene expression studies in SSc: Insights from Systems Biology.Current treatment options in rheumatology · 2017Article
- Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer's disease.BMC medical informatics and decision making · 2017Article
- Identifying gene-gene interactions that are highly associated with four quantitative lipid traits across multiple cohorts.Human genetics · 2017Article
- A proteogenomic approach to understand splice isoform functions through sequence and expression-based computational modeling.Briefings in bioinformatics · 2016Article
- Algorithms for modeling global and context-specific functional relationship networks.Briefings in bioinformatics · 2016Article
- An interaction quantitative trait loci tool implicates epistatic functional variants in an apoptosis pathway in smallpox vaccine eQTL data.Genes and immunity · 2016Article
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- Weak Epistasis Generally Stabilizes Phenotypes in a Mouse Intercross.PLoS genetics · 2016Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
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 http://imp.princeton.edu.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.