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STATegra EMS: an Experiment Management System for complex next-generation omics experiments
High-throughput sequencing assays are now routinely used to study different aspects of genome organization. As decreasing costs and widespread availability of sequencing enable more laboratories to use sequencing assays in their research projects, the number of samples and replicates in these experi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4101697/ https://www.ncbi.nlm.nih.gov/pubmed/25033091 http://dx.doi.org/10.1186/1752-0509-8-S2-S9 |
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author | Hernández-de-Diego, Rafael Boix-Chova, Noemi Gómez-Cabrero, David Tegner, Jesper Abugessaisa, Imad Conesa, Ana |
author_facet | Hernández-de-Diego, Rafael Boix-Chova, Noemi Gómez-Cabrero, David Tegner, Jesper Abugessaisa, Imad Conesa, Ana |
author_sort | Hernández-de-Diego, Rafael |
collection | PubMed |
description | High-throughput sequencing assays are now routinely used to study different aspects of genome organization. As decreasing costs and widespread availability of sequencing enable more laboratories to use sequencing assays in their research projects, the number of samples and replicates in these experiments can quickly grow to several dozens of samples and thus require standardized annotation, storage and management of preprocessing steps. As a part of the STATegra project, we have developed an Experiment Management System (EMS) for high throughput omics data that supports different types of sequencing-based assays such as RNA-seq, ChIP-seq, Methyl-seq, etc, as well as proteomics and metabolomics data. The STATegra EMS provides metadata annotation of experimental design, samples and processing pipelines, as well as storage of different types of data files, from raw data to ready-to-use measurements. The system has been developed to provide research laboratories with a freely-available, integrated system that offers a simple and effective way for experiment annotation and tracking of analysis procedures. |
format | Online Article Text |
id | pubmed-4101697 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41016972014-07-18 STATegra EMS: an Experiment Management System for complex next-generation omics experiments Hernández-de-Diego, Rafael Boix-Chova, Noemi Gómez-Cabrero, David Tegner, Jesper Abugessaisa, Imad Conesa, Ana BMC Syst Biol Research High-throughput sequencing assays are now routinely used to study different aspects of genome organization. As decreasing costs and widespread availability of sequencing enable more laboratories to use sequencing assays in their research projects, the number of samples and replicates in these experiments can quickly grow to several dozens of samples and thus require standardized annotation, storage and management of preprocessing steps. As a part of the STATegra project, we have developed an Experiment Management System (EMS) for high throughput omics data that supports different types of sequencing-based assays such as RNA-seq, ChIP-seq, Methyl-seq, etc, as well as proteomics and metabolomics data. The STATegra EMS provides metadata annotation of experimental design, samples and processing pipelines, as well as storage of different types of data files, from raw data to ready-to-use measurements. The system has been developed to provide research laboratories with a freely-available, integrated system that offers a simple and effective way for experiment annotation and tracking of analysis procedures. BioMed Central 2014-03-13 /pmc/articles/PMC4101697/ /pubmed/25033091 http://dx.doi.org/10.1186/1752-0509-8-S2-S9 Text en Copyright © 2014 Hernández-de-Diego et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Hernández-de-Diego, Rafael Boix-Chova, Noemi Gómez-Cabrero, David Tegner, Jesper Abugessaisa, Imad Conesa, Ana STATegra EMS: an Experiment Management System for complex next-generation omics experiments |
title | STATegra EMS: an Experiment Management System for complex next-generation omics experiments |
title_full | STATegra EMS: an Experiment Management System for complex next-generation omics experiments |
title_fullStr | STATegra EMS: an Experiment Management System for complex next-generation omics experiments |
title_full_unstemmed | STATegra EMS: an Experiment Management System for complex next-generation omics experiments |
title_short | STATegra EMS: an Experiment Management System for complex next-generation omics experiments |
title_sort | stategra ems: an experiment management system for complex next-generation omics experiments |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4101697/ https://www.ncbi.nlm.nih.gov/pubmed/25033091 http://dx.doi.org/10.1186/1752-0509-8-S2-S9 |
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