Difference between revisions of "CNAseg"
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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. | |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 variants | |bio domain=Structural variants | ||
+ | |created at=Cancer Research UK Cambridge Research Institute | ||
}} | }} | ||
== Description == | == Description == |
Revision as of 18:42, 19 September 2011
Application data |
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Biological application domain(s) | Structural variants |
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Created at | Cancer Research UK Cambridge Research Institute |
Maintained? | Maybe |
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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