CS-SCORE: Rapid identification and removal of human genome contaminants from metagenomic datasets.

Unlabelled: Metagenomic sequencing data, obtained from host-associated microbial communities, are usually contaminated with host genome sequence fragments. Prior to performing any downstream analyses, it is necessary to identify and remove such contaminating sequence fragments. The time and memory requirements of available host-contamination detection techniques are enormous.

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

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.