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The Risa R/Bioconductor package: integrative data analysis from experimental metadata and back again.

BMC bioinformatics | 2014

The ISA-Tab format and software suite have been developed to break the silo effect induced by technology-specific formats for a variety of data types and to better support experimental metadata tracking. Experimentalists seldom use a single technique to monitor biological signals. Providing a multi-purpose, pragmatic and accessible format that abstracts away common constructs for describing Investigations, Studies and Assays, ISA is increasingly popular. To attract further interest towards the format and extend support to ensure reproducible research and reusable data, we present the Risa package, which delivers a central component to support the ISA format by enabling effortless integration with R, the popular, open source data crunching environment.

Pubmed ID: 24564732 RIS Download

Research resources used in this publication

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Associated grants

  • Agency: Biotechnology and Biological Sciences Research Council, United Kingdom
    Id: BB/E025080/1
  • Agency: Biotechnology and Biological Sciences Research Council, United Kingdom
    Id: BB/I000771/1
  • Agency: Biotechnology and Biological Sciences Research Council, United Kingdom
    Id: BB/J020265/1
  • Agency: Biotechnology and Biological Sciences Research Council, United Kingdom
    Id: BB/I025840/1

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Metabolomics Standards Initiative (tool)

RRID:SCR_003246

Oversight Committee appointed to monitor, coordinate and review the efforts of working groups (WG) in specialist areas (Biological context metadata WG, Chemical analysis WG, Data processing WG, Ontology WG, Exchange format WG) that will examine standardization and make recommendations.

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European Bioinformatics Institute (tool)

RRID:SCR_004727

Non-profit academic organization for research and services in bioinformatics. Provides freely available data from life science experiments, performs basic research in computational biology, and offers user training programme, manages databases of biological data including nucleic acid, protein sequences, and macromolecular structures. Part of EMBL.

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