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A streamlined workflow for the quality control, interpretation and analysis of timsTOF Pro data: towards large-scale proteomics
EP37621
Poster Title: A streamlined workflow for the quality control, interpretation and analysis of timsTOF Pro data: towards large-scale proteomics
Submitted on 02 Sep 2021
Author(s): Chengpin Shen1, Xianming Liu2, Xiaoxian Du2, Xiaoqing Wang1, Hebin Liu1 and Ruoyu Wu2 1 Omicsolution Co., Ltd, Shanghai, China 2 Bruker Daltonics, Shanghai, China
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Poster Views: 264
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Poster Information
Abstract: • We developed an automated workflow including Uniprot proteome sequence fetching, sequence annotation updating based on blast algorithm.
• We are continuously collecting standard model species samples as QC references.
• A demo server with several published data is available on project.omicsolution.com/omicscloud/index
• Demo projects include both DDA/DIA PASEF data, HeLa and large scale clinical data from published literature. More types of data will soon available online.
Summary: The importance of quality control (QC) has been long acknowledged, especially in the large-scale proteomics researches, but most of them only utilized protein quantitation sheet produced by search engine. Such kind of QC lacks comprehensive LC and MS level information that may influence dataset quality in all aspects. References: Report abuse »
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