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Mendeley readers
Title |
Patchwork: allele-specific copy number analysis of whole-genome sequenced tumor tissue
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Published in |
Genome Biology, March 2013
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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
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% |