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Galaxy Integrated Omics: Web-based standards-compliant workflows for proteomics informed by transcriptomics

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)3087-3093
Number of pages7
JournalMolecular and Cellular Proteomics
Volume14
Issue number11
DOIs
DateAccepted/In press - 7 Aug 2015
DatePublished (current) - 12 Aug 2015

Abstract

With the recent advent of RNA-seq technology the proteomics community has begun to generate sample-specific protein databases for peptide and protein identification, an approach we call proteomics informed by transcriptomics (PIT). This approach has gained a lot of interest, particularly among researchers who work with non-model organisms or with particularly dynamic proteomes such as those observed in developmental biology and host-pathogen studies. PIT has been shown to improve coverage of known proteins, and to reveal potential novel gene products. However, many groups are impeded in their use of PIT by the complexity of the required data analysis. Necessarily, this analysis requires complex integration of a number of different software tools from at least two different communities, and because PIT has a range of biological applications a single software pipeline is not suitable for all use cases. To overcome these problems, we have created GIO, a software system that utilises the well-established Galaxy platform to make PIT analysis available to the typical bench scientist via a simple web interface. Within GIO we provide workflows for four common use cases: a standard search against a reference proteome; PIT protein identification without a reference genome; PIT protein identification using a genome guide; and PIT genome annotation. These workflows comprise individual tools that can be reconfigured and rearranged within the web interface to create new workflows to support additional use cases.

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Copyright © 2015, The American Society for Biochemistry and Molecular Biology.

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    Rights statement: This is the final published version of the article (version of record). It first appeared online via American Society for Biochemistry and Molecular Biology at http://dx.doi.org/10.1074/mcp.O115.048777. Please refer to any applicable terms of use of the publisher.

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