BioinformaticsBioinformaticsPeer-reviewed journal article
MAPseq: Improved Speed, Accuracy And Consistency In Ribosomal RNA Sequence Analysis
João F. Matias RodriguesiD, Thomas SchmidtiD, Janko TackmanniD, Christian von MeringiD
Abstract
Metagenomic sequencing has become crucial to studying microbial communities, but meaningful taxonomic analysis and inter-comparison of such data are still hampered by technical limitations, between-study design variability and inconsistencies between taxonomies used. Here we present MAPseq, a framework for reference-based rRNA metagenomic analysis that is up to 30% more accurate (F1/2 score) and up to one hundred times faster than existing solutions, providing in a single run multiple taxonomy classifications and hierarchical OTU mappings, for both amplicon and shotgun sequencing strategies, and for datasets of virtually any size. Availability: Source code and binaries are freely available at http://meringlab.org/software/mapseq/
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- 181
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- 3.68
- Field percentile
- top 6%
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