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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...

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Autores principales: Dass, Gaurhari, Vu, Manh-Tu, Xu, Pan, Audain, Enrique, Hitz, Marc-Phillip, Grüning, Björn A, Hermjakob, Henning, Perez-Riverol, Yasset
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
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.
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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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