The RNASeq-er API-a Gateway to Systematically Updated Analysis of Public RNA-seq Data

Overview

Journal Bioinformatics

Publisher Oxford University Press

Specialty Biology

Date 2017 Apr 4

PMID 28369191

Citations 19

Authors

Robert Petryszak

Nuno A Fonseca

Anja Fullgrabe

Laura Huerta

Maria Keays

Y Amy Tang

Alvis Brazma

Affiliations

Soon will be listed here.

Abstract

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 .

Contact: rnaseq@ebi.ac.uk ; rpetry@ebi.ac.uk.

Supplementary Information: Supplementary data are available at Bioinformatics online.

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