Difference between revisions of "CNAseg"
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{{Bioinformatics application | {{Bioinformatics application | ||
|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 | + | |bio domain=Structural variation |
|created at=Cancer Research UK Cambridge Research Institute | |created at=Cancer Research UK Cambridge Research Institute | ||
}} | }} |
Revision as of 03:48, 13 July 2012
Application data |
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Biological application domain(s) | Structural variation |
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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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