Taxonomic classification of bacterial 16S rRNA genes using short sequencing reads: evaluation of effective study designs.

ABSTRACT: Massively parallel high throughput sequencing technologies allow us to interrogate the microbial composition of biological samples at unprecedented resolution. The typical approach is to perform high-throughout sequencing of 16S rRNA genes, which are then taxonomically classified based on similarity to known sequences in existing databases. Current technologies cause a predicament though, because although they enable deep coverage of samples, they are limited in the length of sequence they can produce. As a result, high-throughout studies of microbial communities often do not sequence the entire 16S rRNA gene. The challenge is to obtain reliable representation of bacterial communities through taxonomic classification of short 16S rRNA gene sequences. In this study we explored properties of

SUBMITTER: Mizrahi-Man O 

PROVIDER: S-EPMC3538547 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature