Department of Applied Mathematics, Computer Science and Statistics, Ghent University, 9000 Ghent, Belgium.
VIB - UGent Center for Medical Biotechnology, VIB, 9052 Ghent, Belgium.
J Proteome Res. 2023 Aug 4;22(8):2620-2628. doi: 10.1021/acs.jproteome.3c00091. Epub 2023 Jul 17.
Unipept Desktop 2.0 is the most recent iteration of the Unipept Desktop tool that adds support for the analysis of metaproteogenomics datasets. Unipept Desktop now supports the automatic construction of targeted protein reference databases that only contain proteins (originating from the UniProtKB resource) associated with a predetermined list of taxa. This improves both the taxonomic and functional resolution of a metaproteomic analysis and yields several technical advantages. By limiting the proteins present in a reference database, it is also possible to perform (meta)proteogenomics analyses. Since the protein reference database resides on the user's local machine, they have complete control over the database used during an analysis. Data no longer need to be transmitted over the Internet, decreasing the time required for an analysis and better safeguarding privacy-sensitive data. As a proof of concept, we present a case study in which a human gut metaproteome dataset is analyzed with Unipept Desktop 2.0 using different targeted databases based on matched 16S rRNA gene sequencing data.
Unipept Desktop 2.0 是 Unipept Desktop 工具的最新版本,它增加了对宏蛋白质组学数据集分析的支持。Unipept Desktop 现在支持自动构建仅包含与预定分类群列表相关的蛋白质(源自 UniProtKB 资源)的靶向蛋白质参考数据库。这提高了宏蛋白质组分析的分类和功能分辨率,并带来了几个技术优势。通过限制参考数据库中存在的蛋白质,还可以进行(宏)蛋白质组学分析。由于蛋白质参考数据库驻留在用户的本地机器上,因此他们可以完全控制分析过程中使用的数据库。不再需要通过互联网传输数据,从而减少了分析所需的时间,并更好地保护了隐私敏感数据。作为概念验证,我们展示了一个案例研究,其中使用 Unipept Desktop 2.0 基于匹配的 16S rRNA 基因测序数据,使用不同的靶向数据库分析了人类肠道宏蛋白质组数据集。