title: Using OrthoMCL to assign proteins to OrthoMCL-DB groups or to cluster proteomes into new ortholog groups.
abstract: 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.
authors: Center for Bioinformatics, University of Pennsylvania, Philadelphia, Pennsylvania.|Department of Genetics, University of Pennsylvania, Philadelphia, Pennsylvania.
authors: Steve
authors: S
authors: Fischer
authors: Center for Bioinformatics, University of Pennsylvania, Philadelphia, Pennsylvania.|Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania.
authors: Brian P
authors: BP
authors: Brunk
authors: Bayer Business and Technology Services, Bayer Healthcare Pharmaceuticals, Wayne, New Jersey.
authors: Feng
authors: F
authors: Chen
authors: Center for Bioinformatics, University of Pennsylvania, Philadelphia, Pennsylvania.|Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania.
authors: Xin
authors: X
authors: Gao
authors: Center for Bioinformatics, University of Pennsylvania, Philadelphia, Pennsylvania.|Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania.
authors: Omar S
authors: OS
authors: Harb
authors: Center for Bioinformatics, University of Pennsylvania, Philadelphia, Pennsylvania.|Department of Genetics, University of Pennsylvania, Philadelphia, Pennsylvania.
authors: John B
authors: JB
authors: Iodice
authors: Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania.
authors: Dhanasekaran
authors: D
authors: Shanmugam
authors: Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania.
authors: David S
authors: DS
authors: Roos
authors: Center for Bioinformatics, University of Pennsylvania, Philadelphia, Pennsylvania.|Department of Genetics, University of Pennsylvania, Philadelphia, Pennsylvania.
authors: Christian J
authors: CJ
authors: Stoeckert
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D030541:Databases, Genetic; D011506:Proteins / Q000145:classification* / Q000235:genetics; D020543:Proteome / Q000145:classification* / Q000235:genetics; D012984:Software; D013045:Species Specificity
chemical_list: D011506:Proteins; D020543:Proteome