Mixture models for analysis of the taxonomic composition of metagenomes.

ABSTRACT:

Motivation

Inferring the taxonomic profile of a microbial community from a large collection of anonymous DNA sequencing reads is a challenging task in metagenomics. Because existing methods for taxonomic profiling of metagenomes are all based on the assignment of fragmentary sequences to phylogenetic categories, the accuracy of results largely depends on fragment length. This dependence complicates comparative analysis of data originating from different sequencing platforms or resulting from different preprocessing pipelines.

Results

We here introduce a new method for taxonomic profiling based on mixture modeling of the overall oligonucleotide distribution of a sample. Our results indicate that the mixture-based profiles compare well with taxonomic profiles obtained with oth

SUBMITTER: Meinicke P 

PROVIDER: S-EPMC3106201 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature