本书概述了基于质谱的蛋白质组学、代谢组学和脂质组学数据的计算和统计设计与分析。这本特约卷提供了新奥密科学的质谱数据的统计设计和分析的特殊方面的介绍。文中讨论了所有（或大多数）质谱形式之间的设计和分析的共同方面，同时也提供了最常见的质谱形式的特殊应用实例。此外，还涵盖了计算质谱法不仅在临床研究中的应用，还包括在植物生物学研究中对omics数据的解释。

Omics研究领域能够同时对患者血液、尿液、组织或其他生物样本内的许多化合物进行定性，有望给生物分子研究带来革命性的变化。质谱法是这些新的奥密科学中使用的关键分析技术之一。液相色谱质谱法、飞行时间数据和傅里叶变换质谱法只是现代分析人员可以选择的测量平台。因此，在实际的蛋白质组学或代谢组学中，研究人员不仅要面对新的高维数据类型--而不是更经典的基因组学中熟悉的数据结构--而且还要面对来自不同平台的不同类型质谱测量之间的巨大差异，这可能会使分析、比较和解释结果变得复杂。

This book presents an overview of computational and statistical design and analysis of mass spectrometry-based proteomics, metabolomics, and lipidomics data. This contributed volume provides an introduction to the special aspects of statistical design and analysis with mass spectrometry data for the new omic sciences. The text discusses common aspects of design and analysis between and across all (or most) forms of mass spectrometry, while also providing special examples of application with the most common forms of mass spectrometry. Also covered are applications of computational mass spectrometry not only in clinical study but also in the interpretation of omics data in plant biology studies.

Omics research fields are expected to revolutionize biomolecular research by the ability to simultaneously profile many compounds within either patient blood, urine, tissue, or other biological samples. Mass spectrometry is one of the key analytical techniques used in these new omic sciences. Liquid chromatography mass spectrometry, time-of-flight data, and Fourier transform mass spectrometry are but a selection of the measurement platforms available to the modern analyst. Thus in practical proteomics or metabolomics, researchers will not only be confronted with new high dimensional data types—as opposed to the familiar data structures in more classical genomics—but also with great variation between distinct types of mass spectral measurements derived from different platforms, which may complicate analyses, comparison, and interpretation of results.