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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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ReMark: an automatic program for clustering orthologs flexibly combining a Recursive and a Markov clustering

Kangseok Kim1, Wonil Kim, Sunshin Kim

  • 1Department of Knowledge Information Security, Ajou University, Suwon, Korea.

Bioinformatics (Oxford, England)
|May 7, 2011
PubMed
Summary

ReMark is a novel bioinformatics tool that automatically clusters orthologous proteins using combined Recursive and Markov Clustering (MCL) algorithms. This approach enhances the reliability and flexibility of ortholog detection across multiple genomes.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Orthologous proteins are crucial for understanding evolutionary relationships and functional conservation across species.
  • Accurate identification and clustering of orthologs are essential for comparative genomics and functional annotation.

Purpose of the Study:

  • To introduce ReMark, a fully automatic tool for clustering orthologs.
  • To enhance the reliability and flexibility of ortholog detection using a novel algorithmic approach.

Main Methods:

  • ReMark combines Recursive Clustering and Markov Clustering (MCL) algorithms.
  • It detects ortholog pairs via reciprocal BLAST best hits and recursively clusters them.
  • The MCL algorithm refines clusters using score matrices and an adjustable inflation factor.

Main Results:

  • ReMark utilizes diagonal scores for increased reliability in initial ortholog clustering.
  • The tool offers flexible ortholog clustering controlled by the MCL inflation factor.
  • Users can tailor orthologous protein clusters to specific research needs by adjusting the inflation factor.

Conclusions:

  • ReMark provides a robust and adaptable solution for automatic orthologous protein clustering.
  • The tool's adjustable inflation factor allows for customized ortholog grouping based on research objectives.
  • ReMark is freely available for non-commercial use on Windows and Linux platforms.