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 variants
+
|bio domain=Structural variation
 +
|interface=Command line,
 +
|resource type=Command-line tool,
 +
|created at=Cancer Research UK Cambridge Research Institute
 +
|language=R,
 
}}
 
}}
 
== Description ==
 
== Description ==

Latest revision as of 16:32, 4 November 2016

Application data

Biological application domain(s) Structural variation
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.

Description

Links


References

  1. . 2010. Bioinformatics


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