Parallel computing based metabonomics data processing method
A metabonomics data and parallel computing technology, applied in concurrent instruction execution, machine execution devices, program control devices, etc., can solve problems such as time-consuming, high cost of parallel software, and difficult deployment, achieving green computing, Effects of saving energy and improving processing efficiency
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0020] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0021] 1 Theoretical basis
[0022] 1.1 Metabolomics data processing flow
[0023] Metabolomics data processing is divided into two steps: raw data preprocessing and data analysis. In the data preprocessing stage, after the sample is detected by chromatography-mass spectrometry, the original data displayed in the form of a spectrum is obtained, and then the original spectrum is processed by the data processing software to obtain a data table of the sample components. After the metabolomics data is preprocessed, the obtained data needs to be analyzed and mined to discover valuable information. Data preprocessing is the first and most critical step in metabolomics research. In the mass spectrometry detection experiment, the high sensitivity of the mass spectrometer produces a large amount of raw data. A single sample invention has hundreds of megabytes...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com