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The RNASeq-er API—a gateway to systematically updated analysis of public RNA-seq data
MOTIVATION: The exponential growth of publicly available RNA-sequencing (RNA-Seq) data poses an increasing challenge to researchers wishing to discover, analyse and store such data, particularly those based in institutions with limited computational resources. EMBL-EBI is in an ideal position to add...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870697/ https://www.ncbi.nlm.nih.gov/pubmed/28369191 http://dx.doi.org/10.1093/bioinformatics/btx143 |
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author | Petryszak, Robert Fonseca, Nuno A Füllgrabe, Anja Huerta, Laura Keays, Maria Tang, Y Amy Brazma, Alvis |
author_facet | Petryszak, Robert Fonseca, Nuno A Füllgrabe, Anja Huerta, Laura Keays, Maria Tang, Y Amy Brazma, Alvis |
author_sort | Petryszak, Robert |
collection | PubMed |
description | MOTIVATION: The exponential growth of publicly available RNA-sequencing (RNA-Seq) data poses an increasing challenge to researchers wishing to discover, analyse and store such data, particularly those based in institutions with limited computational resources. EMBL-EBI is in an ideal position to address these challenges and to allow the scientific community easy access to not just raw, but also processed RNA-Seq data. We present a Web service to access the results of a systematically and continually updated standardized alignment as well as gene and exon expression quantification of all public bulk (and in the near future also single-cell) RNA-Seq runs in 264 species in European Nucleotide Archive, using Representational State Transfer. RESULTS: The RNASeq-er API (Application Programming Interface) enables ontology-powered search for and retrieval of CRAM, bigwig and bedGraph files, gene and exon expression quantification matrices (Fragments Per Kilobase Of Exon Per Million Fragments Mapped, Transcripts Per Million, raw counts) as well as sample attributes annotated with ontology terms. To date over 270 00 RNA-Seq runs in nearly 10 000 studies (1PB of raw FASTQ data) in 264 species in ENA have been processed and made available via the API. AVAILABILITY AND IMPLEMENTATION: The RNASeq-er API can be accessed at http://www.ebi.ac.uk/fg/rnaseq/api. The commands used to analyse the data are available in supplementary materials and at https://github.com/nunofonseca/irap/wiki/iRAP-single-library. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-5870697 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-58706972018-04-05 The RNASeq-er API—a gateway to systematically updated analysis of public RNA-seq data Petryszak, Robert Fonseca, Nuno A Füllgrabe, Anja Huerta, Laura Keays, Maria Tang, Y Amy Brazma, Alvis Bioinformatics Applications Notes MOTIVATION: The exponential growth of publicly available RNA-sequencing (RNA-Seq) data poses an increasing challenge to researchers wishing to discover, analyse and store such data, particularly those based in institutions with limited computational resources. EMBL-EBI is in an ideal position to address these challenges and to allow the scientific community easy access to not just raw, but also processed RNA-Seq data. We present a Web service to access the results of a systematically and continually updated standardized alignment as well as gene and exon expression quantification of all public bulk (and in the near future also single-cell) RNA-Seq runs in 264 species in European Nucleotide Archive, using Representational State Transfer. RESULTS: The RNASeq-er API (Application Programming Interface) enables ontology-powered search for and retrieval of CRAM, bigwig and bedGraph files, gene and exon expression quantification matrices (Fragments Per Kilobase Of Exon Per Million Fragments Mapped, Transcripts Per Million, raw counts) as well as sample attributes annotated with ontology terms. To date over 270 00 RNA-Seq runs in nearly 10 000 studies (1PB of raw FASTQ data) in 264 species in ENA have been processed and made available via the API. AVAILABILITY AND IMPLEMENTATION: The RNASeq-er API can be accessed at http://www.ebi.ac.uk/fg/rnaseq/api. The commands used to analyse the data are available in supplementary materials and at https://github.com/nunofonseca/irap/wiki/iRAP-single-library. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2017-07-15 2017-03-22 /pmc/articles/PMC5870697/ /pubmed/28369191 http://dx.doi.org/10.1093/bioinformatics/btx143 Text en © The Author 2017. Published by Oxford University Press. 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 | Applications Notes Petryszak, Robert Fonseca, Nuno A Füllgrabe, Anja Huerta, Laura Keays, Maria Tang, Y Amy Brazma, Alvis The RNASeq-er API—a gateway to systematically updated analysis of public RNA-seq data |
title | The RNASeq-er API—a gateway to systematically updated analysis of public RNA-seq data |
title_full | The RNASeq-er API—a gateway to systematically updated analysis of public RNA-seq data |
title_fullStr | The RNASeq-er API—a gateway to systematically updated analysis of public RNA-seq data |
title_full_unstemmed | The RNASeq-er API—a gateway to systematically updated analysis of public RNA-seq data |
title_short | The RNASeq-er API—a gateway to systematically updated analysis of public RNA-seq data |
title_sort | rnaseq-er api—a gateway to systematically updated analysis of public rna-seq data |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870697/ https://www.ncbi.nlm.nih.gov/pubmed/28369191 http://dx.doi.org/10.1093/bioinformatics/btx143 |
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