ArticleNucleic acids research2015
IMP 2.0: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks.
Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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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.
The trial behind it
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
36 citing papers in PubMed.
- Tiny Yeast Comet 1-Dependent Polymers Suppress Taxol-Stabilized Microtubule Depolymerization Induced by Ice-Cold CaClInternational journal of molecular sciences · 2026Article
- Computational strategies for cross-species knowledge transfer.Nature methods · 2026Review
- FunCoup 6: advancing functional association networks across species with directed links and improved user experience.Nucleic acids research · 2025Article
- Computational strategies for cross-species knowledge transfer and translational biomedicine.ArXiv · 2024Article
- Joint representation of molecular networks from multiple species improves gene classification.PLoS computational biology · 2024Article
- Joint embedding of biological networks for cross-species functional alignment.Bioinformatics (Oxford, England) · 2023Article
- Integrative analysis of multi-omics and imaging data with incorporation of biological information via structural Bayesian factor analysis.Briefings in bioinformatics · 2023Article
- Trends in extracellular matrix biology.Molecular biology reports · 2023Review
- A multi-network integration approach for measuring disease similarity based on ncRNA regulation and heterogeneous information.BMC bioinformatics · 2022Article
- Induced Torpor as a Countermeasure for Low Dose Radiation Exposure in a Zebrafish Model.Cells · 2021Article
- The STRING database in 2021: customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets.Nucleic acids research · 2021Article
- TCF12 haploinsufficiency causes autosomal dominant Kallmann syndrome and reveals network-level interactions between causal loci.Human molecular genetics · 2020Article
- Genome-wide functional association networks: background, data & state-of-the-art resources.Briefings in bioinformatics · 2020Review
- ppiGReMLIN: a graph mining based detection of conserved structural arrangements in protein-protein interfaces.BMC bioinformatics · 2020Article
- Article
- A genome-scale CRISPR/Cas9 knockout screening reveals SH3D21 as a sensitizer for gemcitabine.Scientific reports · 2019Article
- UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function prediction.BMC bioinformatics · 2019Article
- scNPF: an integrative framework assisted by network propagation and network fusion for preprocessing of single-cell RNA-seq data.BMC genomics · 2019Article
- How to increase our belief in discovered statistical interactions via large-scale association studies?Human genetics · 2019Review
- NewG3 (Bethesda, Md.) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
IMP (Integrative Multi-species Prediction), originally released in 2012, 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 biologists with a framework to analyze their candidate gene sets in the context of functional networks, expanding or refining their sets using functional relationships predicted from integrated high-throughput data. IMP 2.0 integrates updated prior knowledge and data collections from the last three years in the seven supported organisms (Homo sapiens, Mus musculus, Rattus norvegicus, Drosophila melanogaster, Danio rerio, Caenorhabditis elegans, and Saccharomyces cerevisiae) and extends function prediction coverage to include human disease. IMP identifies homologs with conserved functional roles for disease knowledge transfer, allowing biologists to analyze disease contexts and predictions across all organisms. Additionally, IMP 2.0 implements a new flexible platform for experts to generate custom hypotheses about biological processes or diseases, making sophisticated data-driven methods easily accessible to researchers. IMP 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.