Abstract
Motivation: Detection of somatic copy number alterations (SCNAs) using high-throughput sequencing has become popular because of rapid developments in sequencing technology. Existing methods do not perform well in calling SCNAs for the unstable tumor genomes. Results: We developed a new method, DEFOR, to detect SCNAs in tumor samples from exome-sequencing data. The evaluation showed that DEFOR has a higher accuracy for SCNA detection from exome sequencing compared with the five existing tools. This advantage is especially apparent in unstable tumor genomes with a large proportion of SCNAs. Availability and implementation: DEFOR is available at https://github.com/drzh/defor. Supplementary information: Supplementary data are available at Bioinformatics online.
Original language | English (US) |
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Pages (from-to) | 3824-3825 |
Number of pages | 2 |
Journal | Bioinformatics |
Volume | 35 |
Issue number | 19 |
DOIs | |
State | Published - Oct 1 2019 |
ASJC Scopus subject areas
- Statistics and Probability
- Biochemistry
- Molecular Biology
- Computer Science Applications
- Computational Theory and Mathematics
- Computational Mathematics