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BioSamples database: an updated sample metadata hub
The BioSamples database at EMBL-EBI provides a central hub for sample metadata storage and linkage to other EMBL-EBI resources. BioSamples has recently undergone major changes, both in terms of data content and supporting infrastructure. The data content has more than doubled from around 2 million s...
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/PMC6323949/ https://www.ncbi.nlm.nih.gov/pubmed/30407529 http://dx.doi.org/10.1093/nar/gky1061 |
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author | Courtot, Mélanie Cherubin, Luca Faulconbridge, Adam Vaughan, Daniel Green, Matthew Richardson, David Harrison, Peter Whetzel, Patricia L Parkinson, Helen Burdett, Tony |
author_facet | Courtot, Mélanie Cherubin, Luca Faulconbridge, Adam Vaughan, Daniel Green, Matthew Richardson, David Harrison, Peter Whetzel, Patricia L Parkinson, Helen Burdett, Tony |
author_sort | Courtot, Mélanie |
collection | PubMed |
description | The BioSamples database at EMBL-EBI provides a central hub for sample metadata storage and linkage to other EMBL-EBI resources. BioSamples has recently undergone major changes, both in terms of data content and supporting infrastructure. The data content has more than doubled from around 2 million samples in 2014 to just over 5 million samples in 2018. Fast, reciprocal data exchange was fully established between sister Biosample databases and other INSDC partners, enabling a worldwide common representation and centralization of sample metadata. The BioSamples platform has been upgraded to accommodate anticipated increases in the number of submissions via GA4GH driver projects such as the Human Cell Atlas and the EGA, as well as from mirroring of NCBI dbGaP data. The BioSamples database is now the authoritative repository for all INSDC sample metadata, an ELIXIR Deposition Database for Biomolecular Data and the EMBL-EBI sample metadata hub. To support faster turnaround for sample submission, and to increase scalability and resilience, we have upgraded the BioSamples database backend storage, APIs and user interface. Finally, the website has been redesigned to allow search and retrieval of records based on specific filters, such as ‘disease’ or ‘organism’. These changes are targeted at answering current use cases as well as providing functionalities for future emerging and anticipated developments. Availability: The BioSamples database is freely available at http://www.ebi.ac.uk/biosamples. Content is distributed under the EMBL-EBI Terms of Use available at https://www.ebi.ac.uk/about/terms-of-use. |
format | Online Article Text |
id | pubmed-6323949 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-63239492019-01-10 BioSamples database: an updated sample metadata hub Courtot, Mélanie Cherubin, Luca Faulconbridge, Adam Vaughan, Daniel Green, Matthew Richardson, David Harrison, Peter Whetzel, Patricia L Parkinson, Helen Burdett, Tony Nucleic Acids Res Database Issue The BioSamples database at EMBL-EBI provides a central hub for sample metadata storage and linkage to other EMBL-EBI resources. BioSamples has recently undergone major changes, both in terms of data content and supporting infrastructure. The data content has more than doubled from around 2 million samples in 2014 to just over 5 million samples in 2018. Fast, reciprocal data exchange was fully established between sister Biosample databases and other INSDC partners, enabling a worldwide common representation and centralization of sample metadata. The BioSamples platform has been upgraded to accommodate anticipated increases in the number of submissions via GA4GH driver projects such as the Human Cell Atlas and the EGA, as well as from mirroring of NCBI dbGaP data. The BioSamples database is now the authoritative repository for all INSDC sample metadata, an ELIXIR Deposition Database for Biomolecular Data and the EMBL-EBI sample metadata hub. To support faster turnaround for sample submission, and to increase scalability and resilience, we have upgraded the BioSamples database backend storage, APIs and user interface. Finally, the website has been redesigned to allow search and retrieval of records based on specific filters, such as ‘disease’ or ‘organism’. These changes are targeted at answering current use cases as well as providing functionalities for future emerging and anticipated developments. Availability: The BioSamples database is freely available at http://www.ebi.ac.uk/biosamples. Content is distributed under the EMBL-EBI Terms of Use available at https://www.ebi.ac.uk/about/terms-of-use. Oxford University Press 2019-01-08 2018-11-08 /pmc/articles/PMC6323949/ /pubmed/30407529 http://dx.doi.org/10.1093/nar/gky1061 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. 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 | Database Issue Courtot, Mélanie Cherubin, Luca Faulconbridge, Adam Vaughan, Daniel Green, Matthew Richardson, David Harrison, Peter Whetzel, Patricia L Parkinson, Helen Burdett, Tony BioSamples database: an updated sample metadata hub |
title | BioSamples database: an updated sample metadata hub |
title_full | BioSamples database: an updated sample metadata hub |
title_fullStr | BioSamples database: an updated sample metadata hub |
title_full_unstemmed | BioSamples database: an updated sample metadata hub |
title_short | BioSamples database: an updated sample metadata hub |
title_sort | biosamples database: an updated sample metadata hub |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323949/ https://www.ncbi.nlm.nih.gov/pubmed/30407529 http://dx.doi.org/10.1093/nar/gky1061 |
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