What is it about?
With Recentrifuge, researchers can interactively explore what organisms are in their samples and at which level of confidence, enabling robust comparative analysis of multiple samples in any metagenomic study. Recentrifuge: * Removes diverse contaminants, including crossovers, using a novel robust contamination removal algorithm. * Provides a confidence level for every result, since the calculated score propagates to all the downstream analysis and comparisons. * Unveils the generalities and specificities in the metagenomic samples, thanks to a new comparative analysis engine.
Photo by Joshua Sortino on Unsplash
Why is it important?
Recentrifuge is especially useful in the case of low microbial biomass metagenomic studies and when a more reliable detection of minority organisms is needed, like in clinical, environmental and forensic analysis. Beyond the standard confidence levels, Recentrifuge implements others devoted to variable length reads, like in the datasets generated by nanopore sequencers.
Read the Original
This page is a summary of: Recentrifuge: Robust comparative analysis and contamination removal for metagenomics, PLoS Computational Biology, April 2019, PLOS, DOI: 10.1371/journal.pcbi.1006967.
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