reconCNV
reconCNV visualizes copy number variation (CNV) results from high-throughput targeted sequencing (NGS) to summarize genomic gains and losses and allelic imbalance for interpretation.
Key Features:
- Broad caller compatibility: accepts delimited result files from many NGS CNV callers to integrate CNV analysis outputs.
- HTML report output: generates a portable HTML report as a shareable output format.
- CNV track visualization: displays both relative fold change and absolute copy number to represent genomic gains and losses.
- Variant allele fraction (VAF) track: provides a VAF track to visualize allelic imbalance and potential loss of heterozygosity (LOH).
- Artifact masking: supports masking of assay-specific technical artifacts to reduce systematic noise in CNV signal tracks.
- Genome context linking: includes direct links to the UCSC Genome Browser for genomic context follow-up.
Scientific Applications:
- Research and clinical CNV review: applicable in research and clinical review settings for inspection and interpretation of CNVs from targeted NGS data.
- Variant review and reporting: consolidates CNV signal tracks and allelic evidence to support variant review and reporting workflows.
- Hypothesis generation: combines CNV and VAF evidence to aid hypothesis generation about genomic alterations.
Methodology:
Parses delimited result files from NGS CNV callers, displays relative fold change and absolute copy number tracks and a VAF track, applies assay-specific artifact masking, and outputs a portable HTML report with links to the UCSC Genome Browser.
Topics
Details
- License:
- GPL-3.0
- Programming Languages:
- Python
- Added:
- 1/18/2021
- Last Updated:
- 2/6/2021
Operations
Publications
Chandramohan R, Kakkar N, Roy A, Parsons DW. reconCNV: interactive visualization of copy number data from high-throughput sequencing. Bioinformatics. 2020;37(8):1164-1167. doi:10.1093/bioinformatics/btaa746. PMID:32821910.
PMID: 32821910