CopywriteR

CopywriteR extracts genome-wide DNA copy number information from targeted sequencing data by leveraging off-target reads to improve detection of copy number variants (CNVs) and copy number aberrations (CNAs).

Key Features:

• Utilization of off-target reads: Exploits off-target sequence reads (typically discarded) to obtain consistently distributed copy number signals across the genome.
• Reference-free analysis: Operates without requiring a reference genome.
• Applicability to multiple sequencing techniques: Applicable to sequencing data derived from chromatin immunoprecipitation (ChIP) and target enrichment on small gene panels.
• Mitigation of coverage biases: Addresses limitations of depth of coverage across captured exons and non-uniform capture efficiency to improve detection of CNVs and CNAs.

Scientific Applications:

• Cancer genomics: Detection and profiling of somatic CNVs/CNAs in cancer studies using targeted panels or ChIP-derived data.
• Genetic disorder studies: Identification of germline copy number changes relevant to inherited genetic disorders.
• Studies of genomic aberrations: Provision of uniformly distributed copy number information for research into conditions characterized by genomic copy number changes.

Methodology:

Integrates off-target sequence reads into copy number determination from targeted sequencing to extract genome-wide CNV/CNA signals without requiring a reference genome.