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. Ed(S): Hamacher, Michael; Eisenacher, Martin; Stephan, Christian - Data Mining in Proteomics - 9781607619864 - V9781607619864
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Data Mining in Proteomics

€ 125.77
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Description for Data Mining in Proteomics Hardback. Data Mining in Proteomics presents new insights within the proteomics community, while taking into account the historical evolution and international standardization projects. The text presents overviews of proteomics technologies, standard data formats, databases, and more. Editor(s): Hamacher, Michael; Eisenacher, Martin; Stephan, Christian. Series: Methods in Molecular Biology. Num Pages: 461 pages, 12 black & white tables, biography. BIC Classification: PSBC. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 30. Weight in Grams: 1080.
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 ... Read more

Product Details

Format
Hardback
Publication date
2010
Publisher
Humana Press Inc. United States
Number of pages
461
Condition
New
Series
Methods in Molecular Biology
Number of Pages
461
Place of Publication
Totowa, NJ, United States
ISBN
9781607619864
SKU
V9781607619864
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Data Mining in Proteomics
From the reviews: “The field of data mining in proteomics is currently extremely dynamic while encompassing a wide range of specialties, topics and implications, and so is this book. … This is a very interesting compendium of theoretical, almost philosophical contributions next to requirements and tools with suggestions for their integration. Overall the book is a valuable aid for ... Read more

Goodreads reviews for Data Mining in Proteomics


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