| 書(shū)目名稱 | Data Mining in Proteomics | | 副標(biāo)題 | From Standards to Ap | | 編輯 | Michael Hamacher,Martin Eisenacher,Christian Steph | | 視頻video | http://file.papertrans.cn/263/262966/262966.mp4 | | 概述 | Features an international look at the cutting-edge of proteomics study.Contains practical, concrete examples of the most invaluable current technologies along with detailed applications of those techn | | 叢書(shū)名稱 | Methods in Molecular Biology | | 圖書(shū)封面 |  | | 描述 | Through the rapid development of proteomics methods and technologies, an enormous amount of data was created, leading to a wide-spread rethinking of strategy design and data interpretation.In Data Mining in Proteomics: From Standards to Applications, experts in the field present these new insights within the proteomics community, taking the historical evolution as well as the most important international standardization projects into account.Along with basic and sophisticated overviews of proteomics technologies, standard data formats, and databases, the volume features chapters on data interpretation strategies including statistics, spectra interpretation, and analysis environments as well as specialized tasks such as data annotation, peak picking, phosphoproteomics, spectrum libraries, LC/MS imaging, and splice isoforms.As a part of the highly successful Methods in Molecular Biology? series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results.Authoritative and cutting-edge, Data Mining in Proteomics: From Standards to Applications is a well-balanced compendium for beginners and experts, offering a broad scope o | | 出版日期 | Book 2011 | | 關(guān)鍵詞 | Data generation & handling; Data interpretation; International standardization projects; Laboratory dat | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-60761-987-1 | | isbn_softcover | 978-1-4939-5803-0 | | isbn_ebook | 978-1-60761-987-1Series ISSN 1064-3745 Series E-ISSN 1940-6029 | | issn_series | 1064-3745 | | copyright | Springer Science+Business Media, LLC 2011 |
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