PT  - JOURNAL ARTICLE
AU  - João F Matias Rodrigues
AU  - Thomas SB Schmidt
AU  - Janko Tackmann
AU  - Christian von Mering
TI  - MAPseq: improved speed, accuracy and consistency in ribosomal RNA sequence analysis
AID  - 10.1101/126953
DP  - 2017 Jan 01
TA  - bioRxiv
PG  - 126953
4099  - http://biorxiv.org/content/early/2017/04/12/126953.short
4100  - http://biorxiv.org/content/early/2017/04/12/126953.full
AB  - 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/