Jan 29, 2016

MetaFlow: Metagenomic profiling based on whole-genome coverage analysis with min-cost flows

BioRxiv : the Preprint Server for Biology
Ahmed SobihVeli Mäkinen

Abstract

High-throughput sequencing (HTS) of metagenomes is proving essential in understanding the environment and diseases. State-of-the-art methods for discovering the species and their abundances in an HTS metagenomic sample are based on genome-specific markers, which can lead to skewed results, especially at species level. We present MetaFlow, the first method based on coverage analysis across entire genomes that also scales to HTS samples. We formulated this problem as an NP-hard matching problem in a bipartite graph, which we solved in practice by min-cost flows. On synthetic data sets of varying complexity and similarity, MetaFlow is more precise and sensitive than popular tools such as MetaPhlAn, mOTU, GSMer and BLAST, and its abundance estimations at species level are two to four times better in terms of L1-norm. On a real human stool data set, MetaFlow identifies B.uniformis as most predominant, in line with previous human gut studies, whereas marker-based methods report it as rare. MetaFlow is freely available at http://cs.helsinki.fi/gsa/metaflow

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Mentioned in this Paper

Biological Markers
Genome-Wide Association Study
Study
Genome
Basic Local Alignment Search Tool
Metagenome
Environment
Bicyclus uniformis
Profile (Lab Procedure)
Split Shape

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