CNVpytor: a tool for copy number variation detection and analysis from read depth and allele imbalance in whole-genome sequencing | Zendy

Milovan Šuvakov | Zendy; Arijit Panda | Zendy; Colin Diesh | Zendy; Ian Holmes | Zendy; Alexej Abyzov | Zendy

Open Access

CNVpytor: a tool for copy number variation detection and analysis from read depth and allele imbalance in whole-genome sequencing

Author(s) -

Milovan Šuvakov,

Arijit Panda,

Colin Diesh,

Ian Holmes,

Alexej Abyzov

Publication year - 2021

Publication title -

gigascience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.947

H-Index - 54

ISSN - 2047-217X

DOI - 10.1093/gigascience/giab074

Subject(s) - computer science , copy number variation , mit license , indel , structural variation , genomics , parsing , python (programming language) , source code , genome browser , 1000 genomes project , genome , biology , software , genetics , programming language , single nucleotide polymorphism , gene , genotype

Detecting copy number variations (CNVs) and copy number alterations (CNAs) based on whole-genome sequencing data is important for personalized genomics and treatment. CNVnator is one of the most popular tools for CNV/CNA discovery and analysis based on read depth.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research