Department of Genetic Medicine and Development, University of Geneva Medical School and Swiss Institute of Bioinformatics, rue Michel-Servet 1, 1211 Geneva, Switzerland.
Bioinformatics. 2015 Oct 1;31(19):3210-2. doi: 10.1093/bioinformatics/btv351. Epub 2015 Jun 9.
Genomics has revolutionized biological research, but quality assessment of the resulting assembled sequences is complicated and remains mostly limited to technical measures like N50.
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.
Software implemented in Python and datasets available for download from http://busco.ezlab.org.
Supplementary data are available at Bioinformatics online.
基因组学彻底改变了生物学研究,但对所得组装序列的质量评估很复杂,而且仍然主要局限于 N50 等技术措施。
我们提出了一种基于进化信息的基因内容预期的基因组组装和注释完整性的定量评估方法。我们在开源软件中实现了评估程序,该程序使用了一组名为 BUSCO 的基准通用单拷贝直系同源物集。
用 Python 实现的软件和可从 http://busco.ezlab.org 下载的数据集。
补充数据可在《生物信息学》在线获取。