Using OrthoMCL to Assign Proteins to OrthoMCL‐DB Groups or to Cluster Proteomes Into New Ortholog Groups

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  • Steve Fischer
    Center for Bioinformatics, University of Pennsylvania Philadelphia Pennsylvania
  • Brian P. Brunk
    Center for Bioinformatics, University of Pennsylvania Philadelphia Pennsylvania
  • Feng Chen
    Bayer Business and Technology Services, Bayer Healthcare Pharmaceuticals Wayne New Jersey
  • Xin Gao
    Center for Bioinformatics, University of Pennsylvania Philadelphia Pennsylvania
  • Omar S. Harb
    Center for Bioinformatics, University of Pennsylvania Philadelphia Pennsylvania
  • John B. Iodice
    Center for Bioinformatics, University of Pennsylvania Philadelphia Pennsylvania
  • Dhanasekaran Shanmugam
    Department of Biology, University of Pennsylvania Philadelphia Pennsylvania
  • David S. Roos
    Department of Biology, University of Pennsylvania Philadelphia Pennsylvania
  • Christian J. Stoeckert
    Center for Bioinformatics, University of Pennsylvania Philadelphia Pennsylvania

書誌事項

公開日
2011-09
権利情報
  • http://onlinelibrary.wiley.com/termsAndConditions#vor
DOI
  • 10.1002/0471250953.bi0612s35
公開者
Wiley

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説明

<jats:title>Abstract</jats:title><jats:p>OrthoMCL is an algorithm for grouping proteins into ortholog groups based on their sequence similarity. OrthoMCL‐DB is a public database that allows users to browse and view ortholog groups that were pre‐computed using the OrthoMCL algorithm. Version 4 of this database contained 116,536 ortholog groups clustered from 1,270,853 proteins obtained from 88 eukaryotic genomes, 16 archaean genomes, and 34 bacterial genomes. Future versions of OrthoMCL‐DB will include more proteomes as more genomes are sequenced. Here, we describe how you can group your proteins of interest into ortholog clusters using two different means provided by the OrthoMCL system. The OrthoMCL‐DB Web site has a tool for uploading and grouping a set of protein sequences, typically representing a proteome. This method maps the uploaded proteins to existing groups in OrthoMCL‐DB. Alternatively, if you have proteins from a set of genomes that need to be grouped, you can download, install, and run the stand‐alone OrthoMCL software. <jats:italic>Curr. Protoc. Bioinform</jats:italic>. 35:6.12.1‐6.12.19. © 2011 by John Wiley & Sons, Inc.</jats:p>

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