CovCopCan: An efficient tool to detect Copy Number Variation from amplicon sequencing data in inherited diseases and cancer - Contrôle de l’Activation Cellulaire, Progression Tumorale et Résistance Thérapeutique Accéder directement au contenu
Article Dans Une Revue PLoS Computational Biology Année : 2020

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

Paco Derouault
Stéphane Mérillou

Résumé

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.
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Dates et versions

hal-03269253 , version 1 (27-05-2024)

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Paco Derouault, Jasmine Chauzeix, David Rizzo, Federica Miressi, Corinne Magdelaine, et al.. CovCopCan: An efficient tool to detect Copy Number Variation from amplicon sequencing data in inherited diseases and cancer. PLoS Computational Biology, 2020, 16 (2), pp.e1007503. ⟨10.1371/journal.pcbi.1007503⟩. ⟨hal-03269253⟩
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