CNAseg

Application data
Biological application domain(s)	Structural variation
Created at	Cancer Research UK Cambridge Research Institute
Maintained?	Maybe
Programming language(s)	R
Interface type(s)	Command line
Resource type(s)	Command-line tool

Summary: We present a novel approach, called CNAseg, to identify CNAs from second-generation sequencing data. It uses depth of coverage to estimate copy number states and flowcell-to-flowcell variability in cancer and normal samples to control the false positive rate.

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References

1. . 2010. Bioinformatics

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