MetaABC

MetaABC is a pipeline that integrates advanced binning tools coupled with data filters and normalizations for improving metagenomic analysis. It incorporates two means for removing artifacts, five methods for taxonomic binning, an approach to re-analyze unassigned reads, and an option to control sampling biases via genome-length normalization. It can handle sequencing data generated using different technologies. In a single platform, MetaABC furnishes various analyzing routes that allow users to reach an optimized outcome.