Record Details

A survey of error-correction methods for next-generation sequencing

DSpace at IIT Bombay

View Archive Info
 
 
Field Value
 
Title A survey of error-correction methods for next-generation sequencing
 
Creator YANG, X
CHOCKALINGAM, SP
ALURU, S
 
Subject error correction
next-generation sequencing
sequence analysis
BURROWS-WHEELER TRANSFORM
HUMAN GENOME
READ ALIGNMENT
 
Description Error Correction is important for most next-generation sequencing applications because highly accurate sequenced reads will likely lead to higher quality results. Many techniques for error correction of sequencing data from next-gen platforms have been developed in the recent years. However, compared with the fast development of sequencing technologies, there is a lack of standardized evaluation procedure for different error-correction methods, making it difficult to assess their relative merits and demerits. In this article, we provide a comprehensive review of many error-correction methods, and establish a common set of benchmark data and evaluation criteria to provide a comparative assessment. We present experimental results on quality, run-time, memory usage and scalability of several error-correction methods. Apart from providing explicit recommendations useful to practitioners, the review serves to identify the current state of the art and promising directions for future research. Availability: All error-correction programs used in this article are downloaded from hosting websites. The evaluation tool kit is publicly available at: http://aluru-sun.ece.iastate.edu/doku.php?id=ecr.
 
Publisher OXFORD UNIV PRESS
 
Date 2014-10-14T12:31:42Z
2014-10-14T12:31:42Z
2013
 
Type Article
 
Identifier BRIEFINGS IN BIOINFORMATICS, 14(1)56-66
http://dx.doi.org/10.1093/bib/bbs015
http://dspace.library.iitb.ac.in/jspui/handle/100/14426
 
Language en