Back to search

Article

Benchmarking of computational error-correction methods for next-generation sequencing data

2019-05-20

Abstract excerpt

<h4>Background</h4> Recent advancements in next-generation sequencing have rapidly improved our ability to study genomic material at an unprecedented scale. Despite substantial improvements in sequencing technologies, errors present in the data still risk confounding downstream analysis and limiting the applicability of sequencing technologies in clinical tools. Computational error-correction promises to eliminat...

Topics

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

Identifiers and source

Literature Corpus work
c52e8c30-d06d-53b6-87d4-535642d67a5c
DOI
10.1101/642843
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.
Benchmarking of computational error-correction methods for next-generation sequencing dataDOI 10.1101/642843
Select a neighboring publication to make it the new centre.