MetaABC - An integrated metagenomics platform for data adjustment, binning and clustering

Abstract

MetaABC is a metagenomic platform that integrates several binning tools coupled with methods for removing artifacts, analyzing unassigned reads and controlling sampling biases. It allows users to arrive at a better interpretation via series of distinct combinations of analysis tools. After execution, MetaABC provides outputs in various visual formats such as tables, pie and bar charts as well as clustering result diagrams. © The Author 2011. Published by Oxford University Press. All rights reserved.