2016
DOI: 10.1101/053686
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Accuracy, speed and error tolerance of short DNA sequence aligners

Abstract: Aligning short DNA sequence reads to the genome is an early step in the processing of many types of genomics data, and impacts on the fidelity of downstream results. In this work, the accuracy, speed and tolerance to errors are evaluated in read of varied length for six commonly used mapping tools; BWA aln, BWA mem, Bowtie2, Soap2, Subread and STAR. The accuracy evaluation using Illuminalike simulated reads showed that accuracy varies by read length, but overall BWA aln was most accurate, followed by BWA mem a… Show more

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Cited by 8 publications
(5 citation statements)
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“…For instance, during the hybridization step, it is possible for historical DNA target sequences with some mismatch to nevertheless hybridize to the template probes. Moreover, during the phyloHyRAD bioinformatic mapping step, the use of the more relaxed BWA-MEM mapping algorithm instead of the more stringent BWA-ALN allowed for the recovery of much more data than anticipated ( Ziemann 2016 ). Our strategy of distributing the probe-producing samples across the expected diversity in the phylogeny has made it possible to obtain homologous sequences for species that are phylogenetically distant.…”
Section: Resultsmentioning
confidence: 99%
“…For instance, during the hybridization step, it is possible for historical DNA target sequences with some mismatch to nevertheless hybridize to the template probes. Moreover, during the phyloHyRAD bioinformatic mapping step, the use of the more relaxed BWA-MEM mapping algorithm instead of the more stringent BWA-ALN allowed for the recovery of much more data than anticipated ( Ziemann 2016 ). Our strategy of distributing the probe-producing samples across the expected diversity in the phylogeny has made it possible to obtain homologous sequences for species that are phylogenetically distant.…”
Section: Resultsmentioning
confidence: 99%
“…Meanwhile, the alignment tool BWA-MEM was used in ChimeraMiner, and the previous pipeline used SOAP2. BWA-MEM was considered to take less time in paired-end reads alignment than SOAP2 does [35,36,37]. Besides, the SAM format [38] can alleviate the difficulty of the following analysis and reduce time.…”
Section: Discussionmentioning
confidence: 99%
“…All metagenomic, metatranscriptome, and metaviromic reads were mapped to the pooled set of viral and non-viral contigs using bowtie2, 81 , 82 with counts and breadth of coverage calculated using samtools depth. 70 A breadth of coverage threshold of ≥75% of the contig should have a minimum depth of ≥1 read per bp was applied to metagenome and metavirome count tables; counts under this threshold was set to 0.…”
Section: Methods Detailsmentioning
confidence: 99%