因此，如何充分利用质谱数据对蛋白质组学研究的意义很大。
Therefore, how to make full use of mass spectrometry data has an important significance in proteome.
本研究结果为大规模的蛋白质质谱数据解析提供了有价值的参考。
These results will be very helpful in the mass spectrometric data analysis of proteomic study.
分别用羧肽酶B降解和部分胰蛋白酶酶解后的质谱数据进一步证实了以上的修正。
The revised sequence is further confirmed by comparing above FAB map with that of those peptides produced after further step of carboxypeptidase B digestion.
具体工作可以总结为以下几个方面：（1）通过数据预处理方法从原始质谱数据中提取有效的蛋白峰簇。
The main contributions of this paper are listed as follows:(1) Applied the data preprocessing method to obtain the effective protein peak clusters.
本文同时还用聚类分析法研究了漆膜裂解质谱数据隐含的年代信息，并讨论了实验条件的稳定性对解析结果的影响。
Hidden age messages of pyrolysis mass spectra data of lacquer film by cluster analysis method were investigated and discussed. The stability of experimental factor influenced on analysis result.
质谱库的数据发掘(第二章)：这部分的主要目的是通过对质谱数据库的机器学习，来达到对未知化合物的某些结构或子结构的预测。
Datamining in Mass databases (chapter2) : Aim of this study is to predict the presence or absence of the certain substructure by learning from Mass spectra library.
质谱是很重要的，并非因为它能产生巨量的数据，而是在于从同位素的比例可以得到这个世界温度变化的历史。
Mass spectroscopy is important, not because it generates a tsunami of data, but because it gives the isotope ratios that write a historical record of the global temperature.
大量数据证明，氦质谱检漏技术是满足火力发电厂“不停机”的真空系统检测的唯一方法。
A number of data show that the he mass spectrum detection technique is the only way to meet the requirements of "no-stop" of the thermal power plants.
对于给定的校准标准，得到在质谱范围中的测量的同位素峰集群数据。
Measured isotope peak cluster data in a mass spectral range is obtained for a given calibration standard.
本文主要分为三个部分：质谱库的数据发掘，检索算法在中药复杂体系中的比较研究和中药指纹图谱建立的初步探索。
There are three main departs of this paper: Datamining in Mass databases, comparison for matching algorithms in complex herbal medicine system and research in herbal medicine fingerprint technology.
结果表明质谱计动态法所得结果与许多基本文献提供的数据是一致的。
It shows that the result obtained by the dynamic method of mass spectrometer is uniform with the datum given by many references.
在计算出的相对同位素丰度与质谱目标峰形状函数之间执行卷积运算，以形成计算的同位素峰集群数据。
Convolution operations are performed between the calculated relative isotope abundances and the mass spectral target peak shape functions to form calculated isotope peak cluster data.
数据挖掘软体为质谱。
这是由于它们处理高维复杂数据集的能力，例如那些由蛋白质质谱和DNA微阵列实验产生的。
This is due to their ability to cope with highly dimensional complex datasets such as those developed by protein mass spectrometry and DNA microarray experiments.
根据实验和实例数据，探讨了二次离子质谱或激光离子探针质谱在分析数据解析须掌握的基本方法。
Based on experiments and the data analysis, the basic method for analyzing SIMS or LIPMS data was discussed.
方法采用RP HPLC法对荧光素钠注射液进行成分分析并用硅胶柱色谱法对主要杂质进行分离，根据质谱和核磁共振谱数据进行结构鉴定。
Methods The components were analyzed using RP-HPLC. The main impurities were separated using silica gel column chromatography, which were identified by MS and NMR.
质谱驱动的蛋白质组学的进展依赖于使得大规模数据分析成为可能的鲁棒的生物信息学工具。
Advances in mass spectrometry-driven proteomics rely on robust bioinformatics tools that enable large-scale data analysis.
质谱驱动的蛋白质组学的进展依赖于使得大规模数据分析成为可能的鲁棒的生物信息学工具。
Advances in mass spectrometry-driven proteomics rely on robust bioinformatics tools that enable large-scale data analysis.
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