RIEMS: a software pipeline for sensitive and comprehensive taxonomic classification of reads from metagenomics datasets.

ABSTRACT:

Background

Fuelled by the advent and subsequent development of next generation sequencing technologies, metagenomics became a powerful tool for the analysis of microbial communities both scientifically and diagnostically. The biggest challenge is the extraction of relevant information from the huge sequence datasets generated for metagenomics studies. Although a plethora of tools are available, data analysis is still a bottleneck.

Results

To overcome the bottleneck of data analysis, we developed an automated computational workflow called RIEMS - Reliable Information Extraction from Metagenomic Sequence datasets. RIEMS assigns every individual read sequence within a dataset taxonomically by cascading different sequence analyses with decreasing stringency of the assignments us

SUBMITTER: Scheuch M 

PROVIDER: S-EPMC4351923 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature