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The omics discovery REST interface
The Omics Discovery Index is an open source platform that can be used to access, discover and disseminate omics datasets. OmicsDI integrates proteomics, genomics, metabolomics, models and transcriptomics datasets. Using an efficient indexing system, OmicsDI integrates different biological entities i...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319562/ https://www.ncbi.nlm.nih.gov/pubmed/32374843 http://dx.doi.org/10.1093/nar/gkaa326 |
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author | Dass, Gaurhari Vu, Manh-Tu Xu, Pan Audain, Enrique Hitz, Marc-Phillip Grüning, Björn A Hermjakob, Henning Perez-Riverol, Yasset |
author_facet | Dass, Gaurhari Vu, Manh-Tu Xu, Pan Audain, Enrique Hitz, Marc-Phillip Grüning, Björn A Hermjakob, Henning Perez-Riverol, Yasset |
author_sort | Dass, Gaurhari |
collection | PubMed |
description | The Omics Discovery Index is an open source platform that can be used to access, discover and disseminate omics datasets. OmicsDI integrates proteomics, genomics, metabolomics, models and transcriptomics datasets. Using an efficient indexing system, OmicsDI integrates different biological entities including genes, transcripts, proteins, metabolites and the corresponding publications from PubMed. In addition, it implements a group of pipelines to estimate the impact of each dataset by tracing the number of citations, reanalysis and biological entities reported by each dataset. Here, we present the OmicsDI REST interface (www.omicsdi.org/ws/) to enable programmatic access to any dataset in OmicsDI or all the datasets for a specific provider (database). Clients can perform queries on the API using different metadata information such as sample details (species, tissues, etc), instrumentation (mass spectrometer, sequencer), keywords and other provided annotations. In addition, we present two different libraries in R and Python to facilitate the development of tools that can programmatically interact with the OmicsDI REST interface. |
format | Online Article Text |
id | pubmed-7319562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-73195622020-07-01 The omics discovery REST interface Dass, Gaurhari Vu, Manh-Tu Xu, Pan Audain, Enrique Hitz, Marc-Phillip Grüning, Björn A Hermjakob, Henning Perez-Riverol, Yasset Nucleic Acids Res Web Server Issue The Omics Discovery Index is an open source platform that can be used to access, discover and disseminate omics datasets. OmicsDI integrates proteomics, genomics, metabolomics, models and transcriptomics datasets. Using an efficient indexing system, OmicsDI integrates different biological entities including genes, transcripts, proteins, metabolites and the corresponding publications from PubMed. In addition, it implements a group of pipelines to estimate the impact of each dataset by tracing the number of citations, reanalysis and biological entities reported by each dataset. Here, we present the OmicsDI REST interface (www.omicsdi.org/ws/) to enable programmatic access to any dataset in OmicsDI or all the datasets for a specific provider (database). Clients can perform queries on the API using different metadata information such as sample details (species, tissues, etc), instrumentation (mass spectrometer, sequencer), keywords and other provided annotations. In addition, we present two different libraries in R and Python to facilitate the development of tools that can programmatically interact with the OmicsDI REST interface. Oxford University Press 2020-07-02 2020-05-06 /pmc/articles/PMC7319562/ /pubmed/32374843 http://dx.doi.org/10.1093/nar/gkaa326 Text en © The Author(s) 2020. 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 | Web Server Issue Dass, Gaurhari Vu, Manh-Tu Xu, Pan Audain, Enrique Hitz, Marc-Phillip Grüning, Björn A Hermjakob, Henning Perez-Riverol, Yasset The omics discovery REST interface |
title | The omics discovery REST interface |
title_full | The omics discovery REST interface |
title_fullStr | The omics discovery REST interface |
title_full_unstemmed | The omics discovery REST interface |
title_short | The omics discovery REST interface |
title_sort | omics discovery rest interface |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319562/ https://www.ncbi.nlm.nih.gov/pubmed/32374843 http://dx.doi.org/10.1093/nar/gkaa326 |
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