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ABSTRACT: Summary
In recent years, major initiatives such as the International Human Epigenome Consortium have generated thousands of high-quality genome-wide datasets for a large variety of assays and cell types. This data can be used as a reference to assess whether the signal from a user-provided dataset corresponds to its expected experiment, as well as to help reveal unexpected biological associations. We have developed the epiGenomic Efficient Correlator (epiGeEC) tool to enable genome-wide comparisons of very large numbers of datasets. A public Galaxy implementation of epiGeEC allows comparison of user datasets with thousands of public datasets in a few minutes.Availability and implementation
The source code is available at https://bitbucket.org/labjacquespe/epigeec and the Galaxy implementation at http://epigeec.genap.ca.Supplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Laperle J
PROVIDER: S-EPMC6378939 | biostudies-literature | 2019 Feb
REPOSITORIES: biostudies-literature
Laperle Jonathan J Hébert-Deschamps Simon S Raby Joanny J de Lima Morais David A DA Barrette Michel M Bujold David D Bastin Charlotte C Robert Marc-Antoine MA Nadeau Jean-François JF Harel Marie M Nordell-Markovits Alexei A Veilleux Alain A Bourque Guillaume G Jacques Pierre-Étienne PÉ
Bioinformatics (Oxford, England) 20190201 4
<h4>Summary</h4>In recent years, major initiatives such as the International Human Epigenome Consortium have generated thousands of high-quality genome-wide datasets for a large variety of assays and cell types. This data can be used as a reference to assess whether the signal from a user-provided dataset corresponds to its expected experiment, as well as to help reveal unexpected biological associations. We have developed the epiGenomic Efficient Correlator (epiGeEC) tool to enable genome-wide ...[more]