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The epiGenomic Efficient Correlator (epiGeEC) tool allows fast comparison of user datasets with thousands of public epigenomic datasets

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...

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Autores principales: Laperle, Jonathan, Hébert-Deschamps, Simon, Raby, Joanny, de Lima Morais, David A, Barrette, Michel, Bujold, David, Bastin, Charlotte, Robert, Marc-Antoine, Nadeau, Jean-François, Harel, Marie, Nordell-Markovits, Alexei, Veilleux, Alain, Bourque, Guillaume, Jacques, Pierre-Étienne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6378939/
https://www.ncbi.nlm.nih.gov/pubmed/30052804
http://dx.doi.org/10.1093/bioinformatics/bty655
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author Laperle, Jonathan
Hébert-Deschamps, Simon
Raby, Joanny
de Lima Morais, David A
Barrette, Michel
Bujold, David
Bastin, Charlotte
Robert, Marc-Antoine
Nadeau, Jean-François
Harel, Marie
Nordell-Markovits, Alexei
Veilleux, Alain
Bourque, Guillaume
Jacques, Pierre-Étienne
author_facet Laperle, Jonathan
Hébert-Deschamps, Simon
Raby, Joanny
de Lima Morais, David A
Barrette, Michel
Bujold, David
Bastin, Charlotte
Robert, Marc-Antoine
Nadeau, Jean-François
Harel, Marie
Nordell-Markovits, Alexei
Veilleux, Alain
Bourque, Guillaume
Jacques, Pierre-Étienne
author_sort Laperle, Jonathan
collection PubMed
description 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.
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spelling pubmed-63789392019-02-22 The epiGenomic Efficient Correlator (epiGeEC) tool allows fast comparison of user datasets with thousands of public epigenomic datasets Laperle, Jonathan Hébert-Deschamps, Simon Raby, Joanny de Lima Morais, David A Barrette, Michel Bujold, David Bastin, Charlotte Robert, Marc-Antoine Nadeau, Jean-François Harel, Marie Nordell-Markovits, Alexei Veilleux, Alain Bourque, Guillaume Jacques, Pierre-Étienne Bioinformatics Applications Notes 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. Oxford University Press 2019-02-15 2018-07-24 /pmc/articles/PMC6378939/ /pubmed/30052804 http://dx.doi.org/10.1093/bioinformatics/bty655 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Laperle, Jonathan
Hébert-Deschamps, Simon
Raby, Joanny
de Lima Morais, David A
Barrette, Michel
Bujold, David
Bastin, Charlotte
Robert, Marc-Antoine
Nadeau, Jean-François
Harel, Marie
Nordell-Markovits, Alexei
Veilleux, Alain
Bourque, Guillaume
Jacques, Pierre-Étienne
The epiGenomic Efficient Correlator (epiGeEC) tool allows fast comparison of user datasets with thousands of public epigenomic datasets
title The epiGenomic Efficient Correlator (epiGeEC) tool allows fast comparison of user datasets with thousands of public epigenomic datasets
title_full The epiGenomic Efficient Correlator (epiGeEC) tool allows fast comparison of user datasets with thousands of public epigenomic datasets
title_fullStr The epiGenomic Efficient Correlator (epiGeEC) tool allows fast comparison of user datasets with thousands of public epigenomic datasets
title_full_unstemmed The epiGenomic Efficient Correlator (epiGeEC) tool allows fast comparison of user datasets with thousands of public epigenomic datasets
title_short The epiGenomic Efficient Correlator (epiGeEC) tool allows fast comparison of user datasets with thousands of public epigenomic datasets
title_sort epigenomic efficient correlator (epigeec) tool allows fast comparison of user datasets with thousands of public epigenomic datasets
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6378939/
https://www.ncbi.nlm.nih.gov/pubmed/30052804
http://dx.doi.org/10.1093/bioinformatics/bty655
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