RT Journal Article
SR Electronic
T1 MAPseq: improved speed, accuracy and consistency in ribosomal RNA sequence analysis
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 126953
DO 10.1101/126953
A1 João F Matias Rodrigues
A1 Thomas SB Schmidt
A1 Janko Tackmann
A1 Christian von Mering
YR 2017
UL http://biorxiv.org/content/early/2017/04/12/126953.abstract
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/