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SODAR: managing multiomics study data and metadata
Scientists employing omics in life science studies face challenges such as the modeling of multiassay studies, recording of all relevant parameters, and managing many samples with their metadata. They must manage many large files that are the results of the assays or subsequent computation. Users wi...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373112/ https://www.ncbi.nlm.nih.gov/pubmed/37498129 http://dx.doi.org/10.1093/gigascience/giad052 |
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author | Nieminen, Mikko Stolpe, Oliver Kuhring, Mathias Weiner, January Pett, Patrick Beule, Dieter Holtgrewe, Manuel |
author_facet | Nieminen, Mikko Stolpe, Oliver Kuhring, Mathias Weiner, January Pett, Patrick Beule, Dieter Holtgrewe, Manuel |
author_sort | Nieminen, Mikko |
collection | PubMed |
description | Scientists employing omics in life science studies face challenges such as the modeling of multiassay studies, recording of all relevant parameters, and managing many samples with their metadata. They must manage many large files that are the results of the assays or subsequent computation. Users with diverse backgrounds, ranging from computational scientists to wet-lab scientists, have dissimilar needs when it comes to data access, with programmatic interfaces being favored by the former and graphical ones by the latter. We introduce SODAR, the system for omics data access and retrieval. SODAR is a software package that addresses these challenges by providing a web-based graphical user interface for managing multiassay studies and describing them using the ISA (Investigation, Study, Assay) data model and the ISA-Tab file format. Data storage is handled using the iRODS data management system, which handles large quantities of files and substantial amounts of data. SODAR also offers programmable APIs and command-line access for metadata and file storage. SODAR supports complex omics integration studies and can be easily installed. The software is written in Python 3 and freely available at https://github.com/bihealth/sodar-server under the MIT license. |
format | Online Article Text |
id | pubmed-10373112 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-103731122023-07-28 SODAR: managing multiomics study data and metadata Nieminen, Mikko Stolpe, Oliver Kuhring, Mathias Weiner, January Pett, Patrick Beule, Dieter Holtgrewe, Manuel Gigascience Technical Note Scientists employing omics in life science studies face challenges such as the modeling of multiassay studies, recording of all relevant parameters, and managing many samples with their metadata. They must manage many large files that are the results of the assays or subsequent computation. Users with diverse backgrounds, ranging from computational scientists to wet-lab scientists, have dissimilar needs when it comes to data access, with programmatic interfaces being favored by the former and graphical ones by the latter. We introduce SODAR, the system for omics data access and retrieval. SODAR is a software package that addresses these challenges by providing a web-based graphical user interface for managing multiassay studies and describing them using the ISA (Investigation, Study, Assay) data model and the ISA-Tab file format. Data storage is handled using the iRODS data management system, which handles large quantities of files and substantial amounts of data. SODAR also offers programmable APIs and command-line access for metadata and file storage. SODAR supports complex omics integration studies and can be easily installed. The software is written in Python 3 and freely available at https://github.com/bihealth/sodar-server under the MIT license. Oxford University Press 2023-07-27 /pmc/articles/PMC10373112/ /pubmed/37498129 http://dx.doi.org/10.1093/gigascience/giad052 Text en © The Author(s) 2023. Published by Oxford University Press GigaScience. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Technical Note Nieminen, Mikko Stolpe, Oliver Kuhring, Mathias Weiner, January Pett, Patrick Beule, Dieter Holtgrewe, Manuel SODAR: managing multiomics study data and metadata |
title | SODAR: managing multiomics study data and metadata |
title_full | SODAR: managing multiomics study data and metadata |
title_fullStr | SODAR: managing multiomics study data and metadata |
title_full_unstemmed | SODAR: managing multiomics study data and metadata |
title_short | SODAR: managing multiomics study data and metadata |
title_sort | sodar: managing multiomics study data and metadata |
topic | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373112/ https://www.ncbi.nlm.nih.gov/pubmed/37498129 http://dx.doi.org/10.1093/gigascience/giad052 |
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