Genome Biology Program, Department of Energy, Joint Genome Institute, Walnut Creek, California, USA.
Nat Methods. 2010 Jun;7(6):455-7. doi: 10.1038/nmeth.1457. Epub 2010 May 2.
We present 'gene prediction improvement pipeline' (GenePRIMP; http://geneprimp.jgi-psf.org/), a computational process that performs evidence-based evaluation of gene models in prokaryotic genomes and reports anomalies including inconsistent start sites, missed genes and split genes. We found that manual curation of gene models using the anomaly reports generated by GenePRIMP improved their quality, and demonstrate the applicability of GenePRIMP in improving finishing quality and comparing different genome-sequencing and annotation technologies.
我们提出了“基因预测改进管道”(GenePRIMP;http://geneprimp.jgi-psf.org/),这是一个在原核基因组中进行基于证据的基因模型评估的计算过程,并报告异常情况,包括不一致的起始位点、缺失的基因和分裂的基因。我们发现,使用 GenePRIMP 生成的异常报告对基因模型进行手动编修可以提高其质量,并证明了 GenePRIMP 在提高完成质量和比较不同基因组测序和注释技术方面的适用性。