Literature DB >> 35224620

CoverageMaster: comprehensive CNV detection and visualization from NGS short reads for genetic medicine applications.

Melivoia Rapti1,2, Yassine Zouaghi1,2, Jenny Meylan1, Emmanuelle Ranza3, Stylianos E Antonarakis3,4, Federico A Santoni1,3,2.   

Abstract

CoverageMaster (CoM) is a copy number variation (CNV) calling algorithm based on depth-of-coverage maps designed to detect CNVs of any size in exome [whole exome sequencing (WES)] and genome [whole genome sequencing (WGS)] data. The core of the algorithm is the compression of sequencing coverage data in a multiscale Wavelet space and the analysis through an iterative Hidden Markov Model. CoM processes WES and WGS data at nucleotide scale resolution and accurately detects and visualizes full size range CNVs, including single or partial exon deletions and duplications. The results obtained with this approach support the possibility for coverage-based CNV callers to replace probe-based methods such as array comparative genomic hybridization and multiplex ligation-dependent probe amplification in the near future.
© The Author(s) 2022. Published by Oxford University Press.

Entities:  

Keywords:  copy number variants; medical genetics; signal processing

Mesh:

Year:  2022        PMID: 35224620      PMCID: PMC8921749          DOI: 10.1093/bib/bbac049

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  1 in total

1.  Metagenomics next-generation sequencing for the diagnosis of central nervous system infection: A systematic review and meta-analysis.

Authors:  Chunrun Qu; Yu Chen; Yuzhen Ouyang; Weicheng Huang; Fangkun Liu; Luzhe Yan; Ruoyu Lu; Yu Zeng; Zhixiong Liu
Journal:  Front Neurol       Date:  2022-09-20       Impact factor: 4.086

  1 in total

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