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InterProScan 5: genome-scale protein function classification

Bioinformatics · 2014 · Vol. 30(9) · pp. 1236–1240
Philip JonesDavid BinnsHsin-Yu ChangMatthew FraserWeizhong LiCraig McAnullaHamish McWilliamJohn MaslenAlex MitchellGift NukaSebastien PesseatA. F. QuinnAmaia Sangrador‐VegasMaxim ScheremetjewSiew-Yit YongRodrigo LópezSarah Hunter

Abstract

Robust large-scale sequence analysis is a major challenge in modern genomic science, where biologists are frequently trying to characterize many millions of sequences. Here, we describe a new Java-based architecture for the widely used protein function prediction software package InterProScan. Developments include improvements and additions to the outputs of the software and the complete reimplementation of the software framework, resulting in a flexible and stable system that is able to use both multiprocessor machines and/or conventional clusters to achieve scalable distributed data analysis. InterProScan is freely available for download from the EMBl-EBI FTP site and the open source code is hosted at Google Code.

Genomics and Phylogenetic StudiesMachine Learning in BioinformaticsRNA and protein synthesis mechanismsFile Transfer ProtocolUnixComputer scienceJavaOperating systemScalabilitySource codeSoftwareDownloadCode (set theory)

MeSH terms

Programming LanguagesProteinsSoftwareCluster AnalysisGenomeArabidopsisGenomicsHigh-Throughput Nucleotide Sequencing

Funding

  • European Bioinformatics Institute
  • European Commission
  • Directorate for Biological Sciences
  • Biotechnology and Biological Sciences Research Council
Citations
9,690
FWCI
136.95
field-weighted impact
References
31
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100%
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References
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Nature Genetics · 2000 · 43,975 citations
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Nucleic Acids Research · 2002 · 14,220 citations
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InterProScan 5: genome-scale protein function classification · Scinovex