Platform-Indepedent Method for Detecting Errors in Metagenomic Sequencing Data: DRISEE

TitlePlatform-Indepedent Method for Detecting Errors in Metagenomic Sequencing Data: DRISEE
Publication TypeJournal Article
Year of Publication2011
AuthorsKeegan, KP, Trimble, WL, Wilkening, J, Wilke, A, Harrison, T, D'Souza, M, Meyer, F
Date Published08/2011
Other NumbersANL/MCS-P1924-0811
Abstract

Conventional methods to quantify sequencing error have intrinsic features that limit their applicability to shotgun metagenomic data. The increasing diversity and proliferation of high-throughput technologies have made the need for universal error-estimation methods particularly acute. We introduce DRISEE, a platform-independent method to assess sequencing error in shotgun metagenomic data, and utilize it to discover previously uncharacterized error in de novo sequence data from two widely used technologies.

PDFhttp://www.mcs.anl.gov/papers/P1924-paper.pdf