CNAseg

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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.

Description

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References

  1. Ivakhno S, Royce T, Cox AJ, Evers DJ, Cheetham RK, Tavaré S.. 2010. Bioinformatics


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