让我为你灌输这个——解决第一个YPIC挑战的方法

Q4 Biochemistry, Genetics and Molecular Biology EuPA Open Proteomics Pub Date : 2019-03-01 DOI:10.1016/j.euprot.2019.07.007
Britta Eggers, Sandra Pacharra, Martin Eisenacher, Katrin Marcus, Julian Uszkoreit Dr.
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引用次数: 0

摘要

在今天的常见蛋白质组学分析中,我们的样品在小瓶中的来源是已知的,因此可以使用依赖数据库的方法来识别含有的肽。第一个YPIC挑战为我们提供了19个合成肽,它们共同组成了一个英语句子。为了识别这些肽,我们使用了de-novo方法,这使我们与互联网搜索引擎一起找到了隐藏的句子。但是只有句子对我们来说是不够的,我们还想在我们的数据中识别尽可能多的光谱。因此,我们在de-novo方法的基础上创建并改进了一种数据库方法,最终能够识别出重叠程度较好的肽句。
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Let me infuse this for you – A way to solve the first YPIC challenge

In a common proteomics analysis today, the origins of our sample in the vial are known and therefore a database dependent approach to identify the containing peptides can be used. The first YPIC challenge though provided us with 19 synthetic peptides, which together formed an English sentence. For the identification of these peptides, a de-novo approach was used, which brought us together with an internet search engine to the hidden sentence. But only having the sentence was not sufficient for us, we also wanted to identify as many as possible of the spectra in our data. Therefore, we created and refined a database approach from the de-novo method and finally could identify the peptide-sentence with a good overlap.

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来源期刊
EuPA Open Proteomics
EuPA Open Proteomics Biochemistry, Genetics and Molecular Biology-Biochemistry
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审稿时长
103 days
期刊最新文献
Proceedings of the EuBIC-MS 2020 Developers’ Meeting Editorial: The next generation in (EuPA Open) Proteomics Aims & scope Proceedings of the EuBIC Winter School 2019 Introducing the YPIC challenge
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