TWARIT: An extremely rapid and efficient approach for phylogenetic classification of metagenomic sequences

Phylogenetic assignment of individual sequence reads to their respective taxa, referred to as ‘taxonomic binning’, constitutes a key step of metagenomic analysis. Existing binning methods have limitations either with respect to time or accuracy/specificity of binning. Given these limitations, development of a method that can bin vast amounts of metagenomic sequence data in a rapid, efficient and computationally inexpensive manner can profoundly influence metagenomic analysis in computational resource poor settings. We introduce TWARIT, a hybrid binning algorithm, that employs a combination of short-read alignment and composition-based signature sorting approaches to achieve rapid binning rates without compromising on binning accuracy and specificity. TWARIT is validated with simulated and real-world metagenomes and the results demonstrate significantly lower overall binning times compared to that of existing methods. Furthermore, the binning accuracy and specificity of TWARIT are observed to be comparable/superior to them. A web server implementing TWARIT algorithm is available at http://metagenomics.atc.tcs.com/Twarit/

► TWARIT uses a novel compositional signature sorting approach to achieve binning. ► TWARIT classifies reads from known and unknown genomes in two distinct phases. ► TWARIT is approximately two orders of magnitude faster than alignment-based tools. ► TWARIT can classify millions of metagenomic reads within a few hours. ► TWARIT has binning accuracy and specificity comparable to alignment-based methods.