INDUS - a composition-based approach for rapid and accurate taxonomic classification of metagenomic sequences.

ABSTRACT:

Background

Taxonomic classification of metagenomic sequences is the first step in metagenomic analysis. Existing taxonomic classification approaches are of two types, similarity-based and composition-based. Similarity-based approaches, though accurate and specific, are extremely slow. Since, metagenomic projects generate millions of sequences, adopting similarity-based approaches becomes virtually infeasible for research groups having modest computational resources. In this study, we present INDUS - a composition-based approach that incorporates the following novel features. First, INDUS discards the 'one genome-one composition' model adopted by existing compositional approaches. Second, INDUS uses 'compositional distance' information for identifying appropriate assignment levels.

SUBMITTER: Mohammed MH 

PROVIDER: S-EPMC3333187 | biostudies-literature | 2011 Nov

REPOSITORIES: biostudies-literature