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

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

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...

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Bibliographic Details
Main Authors: Paco Derouault, Jasmine Chauzeix, David Rizzo, Federica Miressi, Corinne Magdelaine, Sylvie Bourthoumieu, Karine Durand, Hélène Dzugan, Jean Feuillard, Franck Sturtz, Stéphane Mérillou, Anne-Sophie Lia
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-02-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1007503
Description
Summary: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.
ISSN:1553-734X
1553-7358

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