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An evaluation of the accuracy and speed of metagenome analysis tools
- Source :
- Lindgreen, S, Adair, K L & Gardner, P P 2016, ' An evaluation of the accuracy and speed of metagenome analysis tools ', Scientific Reports, vol. 6, 19233 . https://doi.org/10.1038/srep19233, Scientific Reports
- Publication Year :
- 2016
- Publisher :
- Nature Publishing Group, 2016.
-
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
- Subjects :
- 0301 basic medicine
Multidisciplinary
Computer science
Shotgun sequencing
Scale (chemistry)
030106 microbiology
Gastrointestinal Microbiome
Computational Biology
High-Throughput Nucleotide Sequencing
Data science
Article
03 medical and health sciences
030104 developmental biology
Metagenomics
Benchmark (computing)
Humans
Metagenome
Analysis tools
Author Correction
GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries)
Ecosystem
Software
Skin
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....7ab00827ea2df04826a92cc8352b2218
- Full Text :
- https://doi.org/10.1038/srep19233