VariationHunter

Application data
Created by	Fereydoun Hormozdiari, Can Alkan
Biological application domain(s)	Structural variants
Principal bioinformatics method(s)	Mapping, Soft Clustering, Combinatorial Optimization, Maximum Parsimony
Technology	Illumina
Created at	Simon Fraser University University of Washington
Maintained?	Yes
Input format(s)	DIVET
Programming language(s)	C
Operating system(s)	UNIX

Summary: Detection of structural rearrangements

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Description

VariationHunter is a combinatorial algorithms for SV detection using the paired-end, NGS methods. Our algorithm evaluates all potential mapping locations of each paired-end read and decides on the final mapping and the SVs they imply interdependently. The main criteria used for predicting SVs is based on Maximum Parsimony principle.

Links

• VariationHunter Source code [ edit link ]
• VariationHunter Related [ edit link ]
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References

1. . 2009. Genome Research
2. . 2010. Bioinformatics

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