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CNAseg

12 bytes added, 16:32, 4 November 2016
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|sw 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.
|bio domain=Structural variation
|interface=Command line, |resource type=Command-line tool,
|created at=Cancer Research UK Cambridge Research Institute
|language=R,
}}
== Description ==
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