Difference between revisions of "OrthoMCL"

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{{#if: {{#var: exe}}|==How To Run==
{{#if: {{#var: exe}}|==How To Run==
===Database Policy===
===Database Policy===
All application databases use 'scratch' storage. As such they can and will be removed without warning after 6 months after their creation or earlier if the space has to be reclaimed, or if the username of the person who created them cannot be identified from the database name, which should have an 'application_username_run' pattern. You have one week to export data once a written notice has been sent to you via email. If data retention is required for a longer period of time for an on-going project contact us via [https://support.rc.ufl.edu RC Support System] and request the databse to be put on a whitelist with a pre-determined end date to protect it from automated removal.
See [[Database_Removal_Procedure|the Database Removal Procedure]] for details on how application databases are removed or retained by UFRC.

Revision as of 18:51, 9 June 2021


orthomcl website  

OrthoMCL is a genome-scale algorithm for grouping orthologous protein sequences. It provides not only groups shared by two or more species/genomes, but also groups representing species-specific gene expansion families. So it serves as an important utility for automated eukaryotic genome annotation. OrthoMCL starts with reciprocal best hits within each genome as potential in-paralog/recent paralog pairs and reciprocal best hits across any two genomes as potential ortholog pairs. Related proteins are interlinked in a similarity graph. Then MCL (Markov Clustering algorithm,Van Dongen 2000; www.micans.org/mcl) is invoked to split mega-clusters. This process is analogous to the manual review in COG construction. MCL clustering is based on weights between each pair of proteins, so to correct for differences in evolutionary distance the weights are normalized before running MCL.

Environment Modules

Run module spider orthomcl to find out what environment modules are available for this application.

System Variables

  • HPC_ORTHOMCL_DIR - installation directory
  • HPC_ORTHOMCL_BIN - executable directory
  • HPC_ORTHOMCL_CONF - configuration directory. It contains the orthomcl.config file that provides the MySQL connection settings, credentials, and the database structure.

How To Run

Database Policy

See the Database Removal Procedure for details on how application databases are removed or retained by UFRC.


The '$HPC_ORTHOMCL_CONF/orthomcl.config' file provides a template for configuring an OrthoMCL database. Copy it to your working directory with

$ cp $HPC_ORTHOMCL_CONF/orthomcl.config .

and change the database name from 'orthomcl_jdoe_myproject:' to your own database that has a name with a pattern 'orthomcl_$USER_project_name' in the string 'dbConnectString=dbi:mysql:orthomcl_jdoe_myproject::orthomcldb.ufhpc'. MySQL server will allow the orthomcl user to create databases with that name pattern.

We also provide orthomcl database management scripts for your convenience. They include

  • hpc_list_orthomcl_databases
  • hpc_create_orthomcl_database
  • hpc_remove_orthomcl_database

Please triple-check the name of the database you are removing to make sure you only remove one of your databases, which you absolutely do not need anymore.

Don't forget to create the schema with

orthomclInstallSchema orthomcl.config

after creating a database.

OrthoMCL documentation is available from several sources.

  • A User Guide and other documents in text format are located in /apps/orthomcl/VERSION/doc/OrthoMCLEngine/Main/ and at [1].


If you publish research that uses orthomcl you have to cite it as follows:

  1. Feng Chen, Aaron J. Mackey, Christian J. Stoeckert, Jr., and David S. Roos. OrthoMCL-DB: querying a comprehensive multi-species collection of ortholog groups. Nucleic Acids Res. 2006 34: D363-8. Please cite this paper if you publish research results benefited from OrthoMCL-DB.
  2. Li Li, Christian J. Stoeckert, Jr., and David S. Roos. OrthoMCL: Identification of Ortholog Groups for Eukaryotic Genomes. Genome Res. 2003 13: 2178-2189.
  3. Feng Chen, Aaron J. Mackey, Jeroen K. Vermunt, and David S. Roos. Assessing Performance of Orthology Detection Strategies Applied to Eukaryotic Genomes. PLoS ONE 2007 2(4): e383.