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This article is part of the supplement: Eighth International Conference on Bioinformatics (InCoB2009): Computational Biology

Open Access Proceedings

COMUS: Clinician-Oriented locus-specific MUtation detection and deposition System

Sungwoong Jho14, Byoung-Chul Kim1, Ho Ghang14, Ji-Han Kim1, Daeui Park1, Hak-Min Kim1, Soo-young Jung2, Ki-young Yoo2, Hee-Jin Kim3*, Sunghoon Lee1* and Jong Bhak1*

Author Affiliations

1 Korean Bioinformation Center (KOBIC), KRIBB, Daejeon, 305-806, Korea

2 Korea Hemophilia Foundation Clinic 1628-26, Seocho-dong, Seocho-gu, Seoul, Korea

3 Department of Laboratory Medicine & Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 135-710, Korea

4 University of Science & Technology (UST), Daejeon, 305-333, Korea

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BMC Genomics 2009, 10(Suppl 3):S35  doi:10.1186/1471-2164-10-S3-S35

Published: 3 December 2009

Abstract

Background

A disease-causing mutation refers to a heritable genetic change that is associated with a specific phenotype (disease). The detection of a mutation from a patient's sample is critical for the diagnosis, treatment, and prognosis of the disease. There are numerous databases and applications with which to archive mutation data. However, none of them have been implemented with any automated bioinformatics tools for mutation detection and analysis starting from raw data materials from patients. We present a Locus Specific mutation DB (LSDB) construction system that supports both mutation detection and deposition in one package.

Results

COMUS (Clinician-Oriented locus specific MUtation detection and deposition System) is a mutation detection and deposition system for developing specific LSDBs. COMUS contains 1) a DNA sequence mutation analysis method for clinicians' mutation data identification and deposition and 2) a curation system for variation detection from clinicians' input data. To embody the COMUS system and to validate its clinical utility, we have chosen the disease hemophilia as a test database. A set of data files from bench experiments and clinical information from hemophilia patients were tested on the LSDB, KoHemGene http://www.kohemgene.org webcite, which has proven to be a clinician-friendly interface for mutation detection and deposition.

Conclusion

COMUS is a bioinformatics system for detecting and depositing new mutations from patient DNA with a clinician-friendly interface. LSDBs made using COMUS will promote the clinical utility of LSDBs. COMUS is available at http://www.comus.info webcite.