CovCopCan: An efficient tool to detect Copy Number Variation from amplicon sequencing data in inherited diseases and cancer

PLoS Comput Biol. 2020 Feb 12;16(2):e1007503. doi: 10.1371/journal.pcbi.1007503. eCollection 2020 Feb.

Abstract

Molecular diagnosis is an essential step of patient care. An increasing number of Copy Number Variations (CNVs) have been identified that are involved in inherited and somatic diseases. However, there are few existing tools to identify them among amplicon sequencing data generated by Next Generation Sequencing (NGS). We present here a new tool, CovCopCan, that allows the rapid and easy detection of CNVs in inherited diseases, as well as somatic data of patients with cancer, even with a low ratio of cancer cells to healthy cells. This tool could be very useful for molecular geneticists to rapidly identify CNVs in an interactive and user-friendly way.

MeSH terms

  • Algorithms
  • Computational Biology*
  • DNA Copy Number Variations*
  • Genetic Diseases, Inborn / genetics*
  • High-Throughput Nucleotide Sequencing*
  • Humans
  • Neoplasms / genetics*
  • Nucleic Acid Amplification Techniques / methods
  • Pathology, Molecular / methods

Grants and funding

The authors received no specific funding for this work.