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MGA repository: a curated data resource for ChIP-seq and other genome annotated data
The Mass Genome Annotation (MGA) repository is a resource designed to store published next generation sequencing data and other genome annotation data (such as gene start sites, SNPs, etc.) in a completely standardised format. Each sample has undergone local processing in order the meet the strict M...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753388/ https://www.ncbi.nlm.nih.gov/pubmed/29069466 http://dx.doi.org/10.1093/nar/gkx995 |
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author | Dréos, René Ambrosini, Giovanna Groux, Romain Périer, Rouayda Cavin Bucher, Philipp |
author_facet | Dréos, René Ambrosini, Giovanna Groux, Romain Périer, Rouayda Cavin Bucher, Philipp |
author_sort | Dréos, René |
collection | PubMed |
description | The Mass Genome Annotation (MGA) repository is a resource designed to store published next generation sequencing data and other genome annotation data (such as gene start sites, SNPs, etc.) in a completely standardised format. Each sample has undergone local processing in order the meet the strict MGA format requirements. The original data source, the reformatting procedure and the biological characteristics of the samples are described in an accompanying documentation file manually edited by data curators. 10 model organisms are currently represented: Homo sapiens, Mus musculus, Danio rerio, Drosophila melanogaster, Apis mellifera, Caenorhabditis elegans, Arabidopsis thaliana, Zea mays, Saccharomyces cerevisiae and Schizosaccharomyces pombe. As of today, the resource contains over 24 000 samples. In conjunction with other tools developed by our group (the ChIP-Seq and SSA servers), it allows users to carry out a great variety of analysis task with MGA samples, such as making aggregation plots and heat maps for selected genomic regions, finding peak regions, generating custom tracks for visualizing genomic features in a UCSC genome browser window, or downloading chromatin data in a table format suitable for local processing with more advanced statistical analysis software such as R. Home page: http://ccg.vital-it.ch/mga/. |
format | Online Article Text |
id | pubmed-5753388 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57533882018-01-05 MGA repository: a curated data resource for ChIP-seq and other genome annotated data Dréos, René Ambrosini, Giovanna Groux, Romain Périer, Rouayda Cavin Bucher, Philipp Nucleic Acids Res Database Issue The Mass Genome Annotation (MGA) repository is a resource designed to store published next generation sequencing data and other genome annotation data (such as gene start sites, SNPs, etc.) in a completely standardised format. Each sample has undergone local processing in order the meet the strict MGA format requirements. The original data source, the reformatting procedure and the biological characteristics of the samples are described in an accompanying documentation file manually edited by data curators. 10 model organisms are currently represented: Homo sapiens, Mus musculus, Danio rerio, Drosophila melanogaster, Apis mellifera, Caenorhabditis elegans, Arabidopsis thaliana, Zea mays, Saccharomyces cerevisiae and Schizosaccharomyces pombe. As of today, the resource contains over 24 000 samples. In conjunction with other tools developed by our group (the ChIP-Seq and SSA servers), it allows users to carry out a great variety of analysis task with MGA samples, such as making aggregation plots and heat maps for selected genomic regions, finding peak regions, generating custom tracks for visualizing genomic features in a UCSC genome browser window, or downloading chromatin data in a table format suitable for local processing with more advanced statistical analysis software such as R. Home page: http://ccg.vital-it.ch/mga/. Oxford University Press 2018-01-04 2017-10-24 /pmc/articles/PMC5753388/ /pubmed/29069466 http://dx.doi.org/10.1093/nar/gkx995 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Dréos, René Ambrosini, Giovanna Groux, Romain Périer, Rouayda Cavin Bucher, Philipp MGA repository: a curated data resource for ChIP-seq and other genome annotated data |
title | MGA repository: a curated data resource for ChIP-seq and other genome annotated data |
title_full | MGA repository: a curated data resource for ChIP-seq and other genome annotated data |
title_fullStr | MGA repository: a curated data resource for ChIP-seq and other genome annotated data |
title_full_unstemmed | MGA repository: a curated data resource for ChIP-seq and other genome annotated data |
title_short | MGA repository: a curated data resource for ChIP-seq and other genome annotated data |
title_sort | mga repository: a curated data resource for chip-seq and other genome annotated data |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753388/ https://www.ncbi.nlm.nih.gov/pubmed/29069466 http://dx.doi.org/10.1093/nar/gkx995 |
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