|Biological application domain(s)||Structural variation|
|Created at||Cancer Research UK Cambridge Research Institute|
|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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