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bioRxiv · 10.1101/126953

MAPseq: Improved Speed, Accuracy And Consistency In Ribosomal RNA Sequence Analysis

Matias Rodrigues, J. F.·Schmidt, T. S.·Tackmann, J.·von Mering, C.
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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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Matias Rodrigues, J. F., Schmidt, T. S., Tackmann, J., von Mering, C.. 2017-04-12. MAPseq: Improved Speed, Accuracy And Consistency In Ribosomal RNA Sequence Analysis. https://doi.org/10.1101/126953

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