A comparative evaluation of sequence classification programs

dc.contributor.authorBazinet, Adam L.
dc.contributor.authorCummings, Michael P.
dc.date.accessioned2013-01-10T20:32:54Z
dc.date.available2013-01-10T20:32:54Z
dc.date.issued2012-05-10
dc.description.abstractBackground: A fundamental problem in modern genomics is to taxonomically or functionally classify DNA sequence fragments derived from environmental sampling (i.e., metagenomics). Several different methods have been proposed for doing this effectively and efficiently, and many have been implemented in software. In addition to varying their basic algorithmic approach to classification, some methods screen sequence reads for ’barcoding genes’ like 16S rRNA, or various types of protein-coding genes. Due to the sheer number and complexity of methods, it can be difficult for a researcher to choose one that is well-suited for a particular analysis. Results: We divided the very large number of programs that have been released in recent years for solving the sequence classification problem into three main categories based on the general algorithm they use to compare a query sequence against a database of sequences. We also evaluated the performance of the leading programs in each category on data sets whose taxonomic and functional composition is known. Conclusions: We found significant variability in classification accuracy, precision, and resource consumption of sequence classification programs when used to analyze various metagenomics data sets. However, we observe some general trends and patterns that will be useful to researchers who use sequence classification programs.en_US
dc.description.urihttps://doi.org/10.1186/1471-2105-13-92
dc.identifier.citationBazinet, A.L., Cummings, M.P. A comparative evaluation of sequence classification programs. BMC Bioinformatics 13, 92 (2012).en_US
dc.identifier.urihttp://hdl.handle.net/1903/13346
dc.language.isoen_USen_US
dc.relation.isAvailableAtCollege of Computer, Mathematical & Natural Sciencesen_us
dc.relation.isAvailableAtComputer Scienceen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.subjectsequence classification programsen_US
dc.subjectgenomicsen_US
dc.titleA comparative evaluation of sequence classification programsen_US
dc.typeArticleen_US

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