一种混合的、从头开始的、基于全基因组数据库搜索方法应用于海胆神经肽组学。
A hybrid, de novo based, genome-wide database search approach applied to the sea urchin neuropeptidome.
机构信息
Department of Molecular Biotechnology, Faculty of Bioscience Engineering, Laboratory for Bioinformatics and Computational Genomics, Ghent University, B-9000 Ghent, Belgium.
出版信息
J Proteome Res. 2010 Feb 5;9(2):990-6. doi: 10.1021/pr900885k.
Abstract
Peptidomics is the identification and study of the in vivo biologically active peptide profile. A combination of high performance liquid chromatography, mass spectrometry, and bioinformatics tools such as database search engines are commonly used to perform the analysis. We report a methodology based on a database system holding the completed translated genome, whereby de novo sequencing and genome-wide database searching are combined. The methodology was applied to the sea urchin neuropeptidome resulting in a 30% increase in identification rate.
摘要
肽组学是对体内生物活性肽谱进行鉴定和研究。通常使用高效液相色谱、质谱和数据库搜索引擎等生物信息学工具来进行分析。我们报告了一种基于数据库系统的方法，该系统保存完整的翻译基因组，通过从头测序和全基因组数据库搜索相结合来进行分析。该方法应用于海胆神经肽组学，鉴定率提高了 30%。
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