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QUAST: quality assessment tool for genome assemblies

Alexey Gurevich1 Algorithmic Biology Laboratory, St. Petersburg Academic University, Russian Academy of Sciences, St. Petersburg 194021, Russia and 2Department of Mathematics, University of California, San Diego, La Jolla, CA 92093-0112, USAVladislav Saveliev1 Algorithmic Biology Laboratory, St. Petersburg Academic University, Russian Academy of Sciences, St. Petersburg 194021, Russia and 2Department of Mathematics, University of California, San Diego, La Jolla, CA 92093-0112, USANikolay Vyahhi1 Algorithmic Biology Laboratory, St. Petersburg Academic University, Russian Academy of Sciences, St. Petersburg 194021, Russia and 2Department of Mathematics, University of California, San Diego, La Jolla, CA 92093-0112, USAGlenn Tesler1 Algorithmic Biology Laboratory, St. Petersburg Academic University, Russian Academy of Sciences, St. Petersburg 194021, Russia and 2Department of Mathematics, University of California, San Diego, La Jolla, CA 92093-0112, USA
2013en
ABI

Abstract

SUMMARY: Limitations of genome sequencing techniques have led to dozens of assembly algorithms, none of which is perfect. A number of methods for comparing assemblers have been developed, but none is yet a recognized benchmark. Further, most existing methods for comparing assemblies are only applicable to new assemblies of finished genomes; the problem of evaluating assemblies of previously unsequenced species has not been adequately considered. Here, we present QUAST-a quality assessment tool for evaluating and comparing genome assemblies. This tool improves on leading assembly comparison software with new ideas and quality metrics. QUAST can evaluate assemblies both with a reference genome, as well as without a reference. QUAST produces many reports, summary tables and plots to help scientists in their research and in their publications. In this study, we used QUAST to compare several genome assemblers on three datasets. QUAST tables and plots for all of them are available in the Supplementary Material, and interactive versions of these reports are on the QUAST website. AVAILABILITY: http://bioinf.spbau.ru/quast . SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

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