CNAplot — Software for visual inspection of chromosomal copy number alteration in cancer using juxtaposed sequencing read depth ratios and variant allele frequencies

Marcus H. Hansen*, Peter Hokland, Charlotte G. Nyvold

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

110 Downloads (Pure)

Abstract

Cancer genomes are frequently struck by chromosomal lesions. Next generation sequencing provides potentially high-resolution assays in a single analysis to detect copy number alterations (CNA). The implementation and usage of sequencing may partly be hampered by the lack of transparency in copy number calling algorithms. Here, we present the software CNAplot for aligned visualization of variant allele frequencies and read depth ratios generated from paired whole exome sequencing samples. We implement transparent statistics to evaluate shifts in allele frequencies and sequencing read counts in order to support a copy number event, to complement other tools and to detect somatic copy-neutral loss of heterozygosity.

Original languageEnglish
Article number100503
JournalSoftwareX
Volume11
Number of pages9
ISSN2352-7110
DOIs
Publication statusPublished - 1. Jan 2020

Keywords

  • Copy neutral loss of heterozygosity
  • Copy number alteration
  • Copy number variation
  • Next generation sequencing
  • Whole exome sequencing

Fingerprint

Dive into the research topics of 'CNAplot — Software for visual inspection of chromosomal copy number alteration in cancer using juxtaposed sequencing read depth ratios and variant allele frequencies'. Together they form a unique fingerprint.

Cite this