MTR: taxonomic annotation of short metagenomic reads using clustering at multiple taxonomic ranks.

ABSTRACT:

Motivation

Metagenomics is a recent field of biology that studies microbial communities by analyzing their genomic content directly sequenced from the environment. A metagenomic dataset consists of many short DNA or RNA fragments called reads. One interesting problem in metagenomic data analysis is the discovery of the taxonomic composition of a given dataset. A simple method for this task, called the Lowest Common Ancestor (LCA), is employed in state-of-the-art computational tools for metagenomic data analysis of very short reads (about 100 bp). However LCA has two main drawbacks: it possibly assigns many reads to high taxonomic ranks and it discards a high number of reads.

Results

We present MTR, a new method for tackling these drawbacks using clustering at Multiple Taxono

SUBMITTER: Gori F 

PROVIDER: S-EPMC3018814 | biostudies-literature | 2011 Jan

REPOSITORIES: biostudies-literature