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Patchwork: allele-specific copy number analysis of whole-genome sequenced tumor tissue

Overview of attention for article published in Genome Biology, March 2013
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Title
Patchwork: allele-specific copy number analysis of whole-genome sequenced tumor tissue
Published in
Genome Biology, March 2013
DOI 10.1186/gb-2013-14-3-r24
Pubmed ID
Authors

Markus Mayrhofer, Sebastian DiLorenzo, Anders Isaksson

Abstract

Whole-genome sequencing of tumor tissue has the potential to provide comprehensive characterization of genomic alterations in tumor samples. We present Patchwork, a new bioinformatic tool for allele-specific copy number analysis using whole-genome sequencing data. Patchwork can be used to determine the copy number of homologous sequences throughout the genome, even in aneuploid samples with moderate sequence coverage and tumor cell content. No prior knowledge of average ploidy or tumor cell content is required. Patchwork is freely available as an R package, installable via R-Forge (http://patchwork.r-forge.r-project.org/).

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 7%
Italy 1 <1%
Australia 1 <1%
Sweden 1 <1%
Germany 1 <1%
Belgium 1 <1%
United Kingdom 1 <1%
Russia 1 <1%
China 1 <1%
Other 0 0%
Unknown 89 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 32%
Student > Ph. D. Student 26 25%
Student > Master 9 9%
Student > Bachelor 7 7%
Student > Doctoral Student 5 5%
Other 17 16%
Unknown 7 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 40%
Biochemistry, Genetics and Molecular Biology 27 26%
Computer Science 13 13%
Medicine and Dentistry 4 4%
Economics, Econometrics and Finance 1 <1%
Other 7 7%
Unknown 10 10%