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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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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. |
format | Online Article Text |
id | pubmed-6378939 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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