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Titlebook: Data Mining in Proteomics; From Standards to Ap Michael Hamacher,Martin Eisenacher,Christian Steph Book 2011 Springer Science+Business Medi

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書(shū)目名稱(chēng)Data Mining in Proteomics
副標(biāo)題From Standards to Ap
編輯Michael Hamacher,Martin Eisenacher,Christian Steph
視頻videohttp://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(chēng)Methods in Molecular Biology
圖書(shū)封面Titlebook: Data Mining in Proteomics; From Standards to Ap Michael Hamacher,Martin Eisenacher,Christian Steph Book 2011 Springer Science+Business Medi
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
doihttps://doi.org/10.1007/978-1-60761-987-1
isbn_softcover978-1-4939-5803-0
isbn_ebook978-1-60761-987-1Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightSpringer Science+Business Media, LLC 2011
The information of publication is updating

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1064-3745 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 o978-1-4939-5803-0978-1-60761-987-1Series ISSN 1064-3745 Series E-ISSN 1940-6029
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Analysing Proteomics Identifications in the Context of Functional and Structural Protein Annotation:
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Tranche Distributed Repository and ProteomeCommons.org
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mzIdentML: An Open Community-Built Standard Format for the Results of Proteomics Spectrum Identifica
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