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 |
+ | |interface=Command line, | ||
+ | |resource type=Command-line tool, | ||
|created at=Cancer Research UK Cambridge Research Institute | |created at=Cancer Research UK Cambridge Research Institute | ||
+ | |language=R, | ||
}} | }} | ||
== Description == | == Description == |
Latest revision as of 16:32, 4 November 2016
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 |
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.
"Error: no local variable "counter" was set." is not a number.
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