MOTIVATION:
Genomics has revolutionized biological research, but quality assessment of the resulting assembled sequences is complicated and remains mostly limited to technical measures like N50.
RESULTS:
We propose a measure for quantitative assessment of genome assembly and annotation completeness based on evolutionarily informed expectations of gene content. We implemented the assessment procedure in open-source software, with sets of Benchmarking Universal Single-Copy Orthologs, named BUSCO.
AVAILABILITY AND IMPLEMENTATION:
Software implemented in Python and datasets available for download from http://busco.ezlab.org.
CONTACT:
evgeny.zdobnov@unige.ch
SUPPLEMENTARY INFORMATION:
Supplementary data are available at Bioinformatics online.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.