Back to search

Article

HadoopCNV: A dynamic programming imputation algorithm to detect copy number variants from sequencing data

2017-04-05

Abstract excerpt

<h4>ABSTRACT</h4> <h4>BACKGROUND</h4> Whole-genome sequencing (WGS) data may be used to identify copy number variations (CNVs). Existing CNV detection methods mostly rely on read depth or alignment characteristics (paired-end distance and split reads) to infer gains/losses, while neglecting allelic intensity ratios and cannot quantify copy numbers. Additionally, most CNV callers are not scalable to handle a larg...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
227f538a-f24a-5103-9cad-5e382716ffe2
DOI
10.1101/124339
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
HadoopCNV: A dynamic programming imputation algorithm to detect copy number variants from sequencing dataDOI 10.1101/124339
Select a neighboring publication to make it the new centre.