TY - JOUR T1 - MAPseq: improved speed, accuracy and consistency in ribosomal RNA sequence analysis JF - bioRxiv DO - 10.1101/126953 SP - 126953 AU - João F Matias Rodrigues AU - Thomas SB Schmidt AU - Janko Tackmann AU - Christian von Mering Y1 - 2017/01/01 UR - http://biorxiv.org/content/early/2017/04/12/126953.abstract N2 - 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/ ER -