학술논문

CLARK: fast and accurate classification of metagenomic and genomic sequences using discriminative k-mers
Document Type
article
Source
BMC Genomics. 16(1)
Subject
Biotechnology
Human Genome
Genetics
Algorithms
Genomics
Internet
Metagenomics
User-Computer Interface
Arm/chromosome assignments
Discriminative k-mers
Sequence-specific k-mers
Chromosome arm
Centromere
Biological Sciences
Information and Computing Sciences
Medical and Health Sciences
Bioinformatics
Language
Abstract
BackgroundThe problem of supervised DNA sequence classification arises in several fields of computational molecular biology. Although this problem has been extensively studied, it is still computationally challenging due to size of the datasets that modern sequencing technologies can produce.ResultsWe introduce CLARK a novel approach to classify metagenomic reads at the species or genus level with high accuracy and high speed. Extensive experimental results on various metagenomic samples show that the classification accuracy of CLARK is better or comparable to the best state-of-the-art tools and it is significantly faster than any of its competitors. In its fastest single-threaded mode CLARK classifies, with high accuracy, about 32 million metagenomic short reads per minute. CLARK can also classify BAC clones or transcripts to chromosome arms and centromeric regions.ConclusionsCLARK is a versatile, fast and accurate sequence classification method, especially useful for metagenomics and genomics applications. It is freely available at http://clark.cs.ucr.edu/ .