An evaluation of the accuracy and speed of metagenome analysis tools.

Sci Rep

Biomolecular Interaction Centre, University of Canterbury, Christchurch, New Zealand.

Published: January 2016

AI Article Synopsis

  • Metagenome studies are increasingly common and provide valuable insights into various microbial communities across different environments.
  • With advances in high-throughput sequencing, large-scale shotgun sequencing is now widely used, but a comprehensive comparison of metagenome analysis tools is lacking.
  • Our benchmark testing reveals that the most popular tools aren't always the most accurate, there's no correlation between accuracy and time consumption, and significant variability exists among tools, which can affect the outcomes of metagenomics studies.

Article Abstract

Metagenome studies are becoming increasingly widespread, yielding important insights into microbial communities covering diverse environments from terrestrial and aquatic ecosystems to human skin and gut. With the advent of high-throughput sequencing platforms, the use of large scale shotgun sequencing approaches is now commonplace. However, a thorough independent benchmark comparing state-of-the-art metagenome analysis tools is lacking. Here, we present a benchmark where the most widely used tools are tested on complex, realistic data sets. Our results clearly show that the most widely used tools are not necessarily the most accurate, that the most accurate tool is not necessarily the most time consuming, and that there is a high degree of variability between available tools. These findings are important as the conclusions of any metagenomics study are affected by errors in the predicted community composition and functional capacity. Data sets and results are freely available from http://www.ucbioinformatics.org/metabenchmark.html.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4726098PMC
http://dx.doi.org/10.1038/srep19233DOI Listing

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