title: Accurate taxonomic assignment of short pyrosequencing reads.
abstract: Ambiguities in the taxonomy dependent assignment of pyrosequencing reads are usually resolved by mapping each read to the lowest common ancestor in a reference taxonomy of all those sequences that match the read. This conservative approach has the drawback of mapping a read to a possibly large clade that may also contain many sequences not matching the read. A more accurate taxonomic assignment of short reads can be made by mapping each read to the node in the reference taxonomy that provides the best precision and recall. We show that given a suffix array for the sequences in the reference taxonomy, a short read can be mapped to the node of the reference taxonomy with the best combined value of precision and recall in time linear in the size of the taxonomy subtree rooted at the lowest common ancestor of the matching sequences. An accurate taxonomic assignment of short reads can thus be made with about the same efficiency as when mapping each read to the lowest common ancestor of all matching sequences in a reference taxonomy. We demonstrate the effectiveness of our approach on several metagenomic datasets of marine and gut microbiota.
authors.affiliation: Center for Information Biology and DNA Databank of Japan, National Institute of Genetics, Yata 1111, Mishima, Japan. jclement@lab.nig.ac.jp
authors.forename: José C
authors.initials: JC
authors.lastname: Clemente
authors.forename: Jesper
authors.initials: J
authors.lastname: Jansson
authors.forename: Gabriel
authors.initials: G
authors.lastname: Valiente
mesh_terms: D000818:Animals; D001419:Bacteria / Q000145:classification* / Q000235:genetics*; D019295:Computational Biology; D004064:Digestive System / Q000382:microbiology; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods* / Q000706:statistics & numerical data; D006801:Humans; D054892:Metagenome / Q000235:genetics; D056186:Metagenomics / Q000379:methods / Q000706:statistics & numerical data; D010802:Phylogeny; D012329:RNA, Bacterial / Q000235:genetics; D012336:RNA, Ribosomal, 16S / Q000235:genetics; D016415:Sequence Alignment / Q000379:methods / Q000706:statistics & numerical data; D017423:Sequence Analysis, RNA / Q000379:methods / Q000706:statistics & numerical data
chemical_list: D012329:RNA, Bacterial; D012336:RNA, Ribosomal, 16S