ArticleMicrobial genomics2017
Aligner optimization increases accuracy and decreases compute times in multi-species sequence data.
Article in Microbial genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
18 citing papers in PubMed, 34 citations in OpenAlex.
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- Recovering High-Quality Host Genomes from Gut Metagenomic Data through Genotype Imputation.Advanced genetics (Hoboken, N.J.) · 2022Article
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- Best practices on the differential expression analysis of multi-species RNA-seq.Genome biology · 2021Review
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- Gene-diet interactions associated with complex trait variation in an advanced intercross outbred mouse line.Nature communications · 2019Article
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Corrections and comments
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Authors and funding
13 authors at 1 institution in 1 country.
Funding
Abstract
As sequencing technologies have evolved, the tools to analyze these sequences have made similar advances. However, for multi-species samples, we observed important and adverse differences in alignment specificity and computation time for bwa- mem (Burrows-Wheeler aligner-maximum exact matches) relative to bwa-aln. Therefore, we sought to optimize bwa-mem for alignment of data from multi-species samples in order to reduce alignment time and increase the specificity of alignments. In the multi-species cases examined, there was one majority member (i.e.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.