书目名称 | Mass Spectrometry Data Analysis in Proteomics | 编辑 | Rune Matthiesen | 视频video | | 概述 | Essential reference for mass spectrometry (MS) in proteomics and glycomics.Concise protocols for optimizing search parameters in MS search engines.Practical guide to MS data analysis and bioinformatic | 丛书名称 | Methods in Molecular Biology | 图书封面 |  | 描述 | Mass Spectrometry Data Analysis in Proteomics is an in-depth guide to the theory and practice of analyzing raw mass spectrometry (MS) data in proteomics. As MS is a high throughput technique, proteomic researchers must attend carefully to the associated field of data analysis, and this volume outlines available bioinformatics programs, algorithms, and databases available for MS data analysis. General guidelines for data analysis using search engines such as Mascot, Xtandem, and VEMS are provided, with specific attention to identifying poor quality data and optimizing search parameters. Several different types of MS data are discussed, followed by a description of optimal methods for conversion of raw data into peak lists for input to search engines. Choosing the most accurate and complete databases is emphasized, and a report of available sequence databases is included. Methods for assembling expressed sequence tags (ESTs) into assembled nonredundant databases are provided, along with protocols for further processing the sequences into a format suitable for MS data. Mass Spectrometry Data Analysis in Proteomics describes publicly available applications whenever possible. | 出版日期 | Book 2007 | 关键词 | Mascot; Proteomics; Translation; algorithms; bioinformatics; databases; sequence analysis | 版次 | 1 | doi | https://doi.org/10.1385/1597452750 | isbn_softcover | 978-1-61737-644-3 | isbn_ebook | 978-1-59745-275-5Series ISSN 1064-3745 Series E-ISSN 1940-6029 | issn_series | 1064-3745 | copyright | Humana Press 2007 |
The information of publication is updating
|
|