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A heterogeneous data-independent proteomics mass spectrometry system and method

A proteomics and heterogeneous data technology, applied in the field of heterogeneous library file data-independent proteomics mass spectrometry analysis system, can solve the problems of reducing computing power requirements, unfavorable commercial promotion, long analysis time, etc., and achieve compression Computing time, avoiding time costs and computing performance requirements, effects of increased processing speed

Active Publication Date: 2022-07-08
谱度众合(武汉)生命科技有限公司
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Problems solved by technology

[0006] In view of the above defects or improvement needs of the prior art, the present invention provides a heterogeneous data-independent proteomics mass spectrometry system and method, the purpose of which is to realize scalable compatible complex The data-independent proteomics mass spectrometry data format, at the same time, under the premise of ensuring data privacy and security, shortens the data analysis time and reduces the local requirements for computing power, thus solving the problem that the existing analysis software cannot be scalable and compatible Continuously updated data formats, high requirements for local computing power, long analysis time, risk of data privacy leakage, and technical issues that are not conducive to commercial promotion

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  • A heterogeneous data-independent proteomics mass spectrometry system and method

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Embodiment Construction

[0034] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0035] The heterogeneous data independent proteomics mass spectrometry analysis system provided by the present invention, such as figure 1 shown, including local client and cloud high-performance server;

[0036] The local client is used to obtain data-independent raw data and target detection data, and interpret the data-independent raw data into standard-format data according to calling a data interpreter from a high-perf...

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Abstract

The invention discloses a heterogeneous data independent proteomics mass spectrometry analysis system and method. The system includes a local client and a cloud high-performance server. The method includes the following steps: (1) a local client reads local heterogeneous data-independent proteomics mass spectrometry data, calls a cloud high-performance server, and obtains a data interpreter; (2) the local client completes the data locally After interpretation, spectrum extraction, and pseudo-peptide generation, the peptide spectrum data, pseudo-peptide and target detection peptide are submitted to the high-performance server; (3) the high-performance server, according to the local client Data analysis is performed on the provided peptide spectrum data, pseudo-peptides, and target detection peptides, and the calculated proteomics analysis results are returned to the local client. The invention can take into account the privacy of the original data-independent proteomics mass spectrometry data and the powerful computing power.

Description

technical field [0001] The invention belongs to the field of proteomics, and more particularly, relates to a heterogeneous library file data-independent proteomics mass spectrometry analysis system and method. Background technique [0002] Traditional proteomics employs a data-dependent acquisition (DDA) strategy in which protein samples are digested into peptide fragments, ionized, and analyzed by mass spectrometry. In full scan mass spectra, peptide signals above noise are selectively cleaved, resulting in random (MS / MS) mass spectra that can be matched to the spectra in the database. Although this method is very powerful, it randomly samples peptides for cleavage, always favoring those peaks with the strongest signal. Therefore, quantification of low-abundance peptides remains a challenge. [0003] Since then, a directional analysis technique, Selected Reaction Monitoring (SRM), has been developed, in which mass spectrometers can detect specific peptides very sensitivel...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16B20/00G16B40/00G16B50/30
CPCG16B20/00G16B40/00G16B50/30
Inventor 钟传奇陈希韩强强尚骏黄邵鑫刘宜子杜博贾杨勇周欣
Owner 谱度众合(武汉)生命科技有限公司