Difference between revisions of "Patchwork"

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Patchwork is available in two formats. The first, named simply patchwork, takes BAM files as input whereas patchworkCG takes input from CompleteGenomics files. Detailed guides and information regarding these can be found in their respective tabs.
 
Patchwork is available in two formats. The first, named simply patchwork, takes BAM files as input whereas patchworkCG takes input from CompleteGenomics files. Detailed guides and information regarding these can be found in their respective tabs.
 
|bio domain=Structural variation, Copy number estimation,
 
|bio domain=Structural variation, Copy number estimation,
|bio method=
 
 
|bio tech=ABI SOLiD, Illumina, Complete Genomics,
 
|bio tech=ABI SOLiD, Illumina, Complete Genomics,
 +
|interface=Command line,
 +
|resource type=Command-line tool,
 
|created by=Markus Mayrhofer, Sebastian DiLorenzo, Anders Isaksson
 
|created by=Markus Mayrhofer, Sebastian DiLorenzo, Anders Isaksson
 
|created at=Science for Life Laboratory, Department of Medical Sciences, Uppsala University, SE-751  
 
|created at=Science for Life Laboratory, Department of Medical Sciences, Uppsala University, SE-751  

Latest revision as of 16:42, 3 November 2016

Application data

Created by Markus Mayrhofer, Sebastian DiLorenzo, Anders Isaksson
Biological application domain(s) Structural variation, Copy number estimation
Technology ABI SOLiD, Illumina, Complete Genomics
Created at Science for Life Laboratory, Department of Medical Sciences, Uppsala University, SE-751

85 Uppsala, Sweden

Maintained? Yes
Input format(s) BAM, Pileup, VCF
Output format(s) PNG, JPG, CSV
Software features Allele specific copy numbers.
Programming language(s) R
Interface type(s) Command line
Resource type(s) Command-line tool
Operating system(s) Linux, Mac OS X

Summary: Patchwork is a bioinformatic tool for analyzing and visualizing allele-specific copy numbers and loss-of-heterozygosity in cancer genomes. The data input is in the format of whole-genome sequencing data which enables characterization of genomic alterations ranging in size from point mutations to entire chromosomes. High quality results are obtained even if samples have low coverage, ~4x, low tumor cell content or are aneuploid. Patchwork is available in two formats. The first, named simply patchwork, takes BAM files as input whereas patchworkCG takes input from CompleteGenomics files. Detailed guides and information regarding these can be found in their respective tabs.

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Links


References

  1. . 2013. Genome Biology


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