Back to search

Article

HAPDeNovo: a haplotype-based approach for filtering and phasing <i>de novo</i> mutations in linked read sequencing data

2017-11-16

Abstract excerpt

<h4>Background</h4> De novo mutations (DNMs) are associated with neurodevelopmental and congenital diseases, and their detection can contribute to understanding disease pathogenicity. However, accurate detection is challenging because of their small number relative to the genome-wide false positives in next generation sequencing (NGS) data. Software such as DeNovoGear and TrioDeNovo have been developed to detect...

Topics

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

Identifiers and source

Literature Corpus work
aad2a3a7-2806-5488-9a42-e951c1f19a4e
DOI
10.1101/220830
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.
HAPDeNovo: a haplotype-based approach for filtering and phasing <i>de novo</i> mutations in linked read sequencing dataDOI 10.1101/220830
Select a neighboring publication to make it the new centre.