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IMP specifications


Unique identifier OMICS_02706
Name IMP
Alternative name Integrative Multi-species Prediction
Interface Web user interface
Restrictions to use None
Computer skills Basic
Version 2.0
Stability Stable
Maintained Yes


  • Invertebrates
    • Caenorhabditis elegans
    • Drosophila melanogaster
  • Plants and Fungi
    • Saccharomyces cerevisiae
  • Primates
    • Homo sapiens
  • Rodents
    • Mus musculus
    • Rattus norvegicus
  • Vertebrates
    • Danio rerio


  • person_outline Olga G. Troyanskaya

Publications for Integrative Multi-species Prediction

IMP citations


Hypoxia causes transgenerational impairments in reproduction of fish

Nat Commun
PMCID: 4932196
PMID: 27373813
DOI: 10.1038/ncomms12114

[…] ction for integration. The Z-score was calculated according to the biological process involved. Positive and negative Z-scores represented increasing or decreasing biological processes, respectively. Integrative Multi-species Prediction ( was used to predict protein–protein interactions and to link shared pathways among proteins of interest.The Circos figure was based on […]


Implications of Big Data for cell biology

Mol Biol Cell
PMCID: 4501356
PMID: 26174066
DOI: 10.1091/mbc.E13-12-0756

[…] ections, often relying on examples of known biological associations (e.g., genes with previously discovered biological function) to identify informative signals and make new discoveries. For example, Integrative Multi-species Prediction (IMP; probabilistically combines a large collection of expression, sequence, and protein interaction data to provide functional network and func […]


Testing multiple hypotheses through IMP weighted FDR based on a genetic functional network with application to a new zebrafish transcriptome study

BioData Min
PMCID: 4474579
PMID: 26097506
DOI: 10.1186/s13040-015-0050-8

[…] R weighting methods that combine biological information and knowledge with gene expression measurements to more effectively identify differentially expressed genes represent an area of unmet need.The Integrative Multi-species Prediction [, ] webserver has collected over 2,000 microarray datasets from the NCBI Gene Expression Omnibus (GEO), large collection of biochemical experiments from the Datab […]


Think globally and solve locally: secondary memory based network learning for automated multi species function prediction

PMCID: 4006453
PMID: 24843788
DOI: 10.1186/2047-217X-3-5

[…] unction prediction approaches can be useful for the integration of diverse types of data coming from multiple, often unrelated, proteomic and genomic pipelines. A recent example is represented by the Integrative multi-species prediction (IMP) web server [] which integrates prior knowledge and data collections from multiple organisms for the generation of novel functional working hypotheses used in […]


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IMP institution(s)
Department of Computer Science, Princeton University, Princeton, NJ, USA

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