From reads to operational taxonomic units: an ensemble processing pipeline for MiSeq amplicon sequencing data.

ABSTRACT: The development of high-throughput sequencing technologies has provided microbial ecologists with an efficient approach to assess bacterial diversity at an unseen depth, particularly with the recent advances in the Illumina MiSeq sequencing platform. However, analyzing such high-throughput data is posing important computational challenges, requiring specialized bioinformatics solutions at different stages during the processing pipeline, such as assembly of paired-end reads, chimera removal, correction of sequencing errors, and clustering of those sequences into Operational Taxonomic Units (OTUs). Individual algorithms grappling with each of those challenges have been combined into various bioinformatics pipelines, such as mothur, QIIME, LotuS, and USEARCH. Using a set of well-described bac

SUBMITTER: Mysara M 

PROVIDER: S-EPMC5466709 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature