ALGORITHMS FOR AUTOMATIC PROCESSING OF DATA FROM MASS SPECTROMETRIC ANALYSES

自动处理质谱分析数据的算法

• 批准号: 7954035
• 负责人: HAOWEI SONG
• 金额: $ 1.4万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-02-01 至 2010-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7954035
• 关键词: Algorithms; Automatic Data Processing; Bioinformatics; Biological; Computer Retrieval of Information on Scientific Projects Database; Data; Data Set; Development; Electrospray Ionization; Funding; Genomics; Grant; Institution; Lipids; Mass Spectrum Analysis; Measurement; Methods; Molecular; Process; Proteomics; Research; Research Personnel; Resources; Sampling; Software Tools; Source; United States National Institutes of Health; biomedical resource; computerized data processing; tandem mass spectrometry; tool

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Recently developed mass spectrometric methods for lipid analyses, especially electrospray ionization (ESI) tandem mass spectrometry, permit identification and measurement of an enormous variety of distinct lipid molecular species from small amounts of biological samples but generate a huge amount of experimental data within a brief interval. Processing such data sets so that comprehensible information is derived from them requires bioinformatics tools, and algorithms developed for proteomics and genomics have provided some strategies that can be directly adapted to lipidomics. The structural diversity and complexity of lipids, however, also requires the development and application of new algorithms and software tools that are specifically directed at processing data from lipid analyses.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 最近开发了用于脂质分析的质谱法，尤其是电喷雾电离（ESI）串联质谱法，允许鉴定和测量大量不同的脂质分子物种，从少量的生物样品中，但在短时间内会产生大量实验数据。处理此类数据集，以便从它们中得出可理解的信息需要生物信息学工具，并且针对蛋白质组学和基因组学开发的算法提供了一些可以直接适应脂肪组学的策略。但是，脂质的结构多样性和复杂性也需要开发和应用新算法和软件工具，这些算法和软件工具专门针对脂质分析的数据处理。