CNVkit
Application data |
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Created by | Talevich E |
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Biological application domain(s) | Copy number estimation, Structural variation |
Principal bioinformatics method(s) | Variant calling, Variant calling |
Technology | Illumina |
Created at | University of California at San Francisco |
Maintained? | Yes |
Input format(s) | BAM, BED |
Output format(s) | BED-like |
Software features | Copy number analysis, data visualization |
Programming language(s) | Python |
Software libraries | Numpy, Biopython, MatPlotLib, Pysam |
Licence | BSD |
Operating system(s) | GNU/Linux, Mac OS X |
Contact: | eric.talevich@ucsf.edu |
Summary: CNVkit is a software toolkit to infer and visualize copy number from targeted DNA sequencing data.
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Description
CNVkit is a software toolkit to infer and visualize copy number from targeted DNA sequencing data. It is designed for use with hybrid capture, including both whole-exome and custom target panels, and short-read sequencing platforms such as Illumina.
This method uses the nonspecifically captured off-target reads to supplement read depth information from on-target regions. With relatively simple normalization steps to make these read depths comparable across the genome, CNVkit can produce copy ratio estimates extremely close to those by array CGH.
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