Overcoming bias and systematic errors in next generation sequencing data.

Abstract:

:Considerable time and effort has been spent in developing analysis and quality assessment methods to allow the use of microarrays in a clinical setting. As is the case for microarrays and other high-throughput technologies, data from new high-throughput sequencing technologies are subject to technological and biological biases and systematic errors that can impact downstream analyses. Only when these issues can be readily identified and reliably adjusted for will clinical applications of these new technologies be feasible. Although much work remains to be done in this area, we describe consistently observed biases that should be taken into account when analyzing high-throughput sequencing data. In this article, we review current knowledge about these biases, discuss their impact on analysis results, and propose solutions.

journal_name

Genome Med

journal_title

Genome medicine

authors

Taub MA,Corrada Bravo H,Irizarry RA

doi

10.1186/gm208

subject

Has Abstract

pub_date

2010-12-10 00:00:00

pages

87

issue

12

issn

1756-994X

pii

gm208

journal_volume

2

pub_type

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