SparkEC: speeding up alignment-based DNA error correction tools

被引：0

作者：

Roberto R. Expósito

Marco Martínez-Sánchez

Juan Touriño

机构：

[1] Universidade da Coruña,

[2] CITIC,undefined

[3] Computer Architecture Group,undefined

来源：

BMC Bioinformatics | / 23卷

关键词：

Error correction; Big data; Distributed processing; Apache Spark;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

共 86 条

[1] van Dijk EL(2014)Ten years of next-generation sequencing technology Trends Genet 30 418-426
[2] Auger H(2016)Objective review of de novo stand-alone error correction methods for NGS data WIREs Comput Mol Sci 6 111-146
[3] Jaszczyszyn Y(2017)Evaluation of the impact of Illumina error correction tools on de novo genome assembly BMC Bioinform 18 374-30
[4] Thermes C(2008)Google’s MapReduce programming model-Revisited Sci Comput Program 70 1-65
[5] Alic AS(2016)Apache spark: a unified engine for big data processing Commun ACM 59 56-66
[6] Ruzafa D(2013)A survey of error-correction methods for next-generation sequencing Brief Bioinform 14 56-373
[7] Dopazo J(2006)Multiple sequence alignment Curr Opin Struct Biol 16 368-4005
[8] Blanquer I(2015)BigBWA: approaching the burrows-wheeler aligner to big data technologies Bioinformatics 31 4003-21
[9] Heydari M(2016)SparkBWA: speeding up the alignment of high-throughput DNA sequencing data PLoS ONE 11 1-2764
[10] Miclotte G(2017)MarDRe: efficient MapReduce-based removal of duplicate DNA reads in the cloud Bioinformatics 33 2762-25

﻿SparkEC: speeding up alignment-based DNA error correction tools