Computational and Statistical Methods for Protein Quantification by Mass Spectrometry (Hardcover)
Language: English
Published by John Wiley & Sons Inc, New York, 2013
- Hardcover
- New

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Hardcover. The definitive introduction to data analysis in quantitative proteomics This book provides all the necessary knowledge about mass spectrometry based proteomics methods and computational and statistical approaches to pursue the planning, design and analysis of quantitative proteomics experiments. The authors carefully constructed approach allows readers to easily make the transition into the field of quantitative proteomics. Through detailed descriptions of wet-lab methods, computational approaches and statistical tools, this book covers the full scope of a quantitative experiment, allowing readers to acquire new knowledge as well as acting as a useful reference work for more advanced readers. Computational and Statistical Methods for Protein Quantification by Mass Spectrometry: Introduces the use of mass spectrometry in protein quantification and how the bioinformatics challenges in this field can be solved using statistical methods and various software programs.Is illustrated by a large number of figures and examples as well as numerous exercises.Provides both clear and rigorous descriptions of methods and approaches.Is thoroughly indexed and cross-referenced, combining the strengths of a text book with the utility of a reference work.Features detailed discussions of both wet-lab approaches and statistical and computational methods. With clear and thorough descriptions of the various methods and approaches, this book is accessible to biologists, informaticians, and statisticians alike and is aimed at readers across the academic spectrum, from advanced undergraduate students to post doctorates entering the field. The definitive introduction to data analysis in quantitative proteomics This book provides all the necessary knowledge about mass spectrometry based proteomics methods and computational and statistical approaches to pursue the planning, design and analysis of quantitative proteomics experiments. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…
Seller Inventory # 9781119964001
- Title
- Computational and Statistical Methods for Protein Quantification by Mass Spectrometry (Hardcover)
- Author
- Ingvar Eidhammer
- Publisher
- John Wiley & Sons Inc, New York
- Publication year
- 2013
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1119964008
- ISBN 13
- 9781119964001
The definitive introduction to data analysis in quantitative proteomics
This book provides all the necessary knowledge about mass spectrometry based proteomics methods and computational and statistical approaches to pursue the planning, design and analysis of quantitative proteomics experiments. The author’s carefully constructed approach allows readers to easily make the transition into the field of quantitative proteomics. Through detailed descriptions of wet-lab methods, computational approaches and statistical tools, this book covers the full scope of a quantitative experiment, allowing readers to acquire new knowledge as well as acting as a useful reference work for more advanced readers.
Computational and Statistical Methods for Protein Quantification by Mass Spectrometry:
- Introduces the use of mass spectrometry in protein quantification and how the bioinformatics challenges in this field can be solved using statistical methods and various software programs.
- Is illustrated by a large number of figures and examples as well as numerous exercises.
- Provides both clear and rigorous descriptions of methods and approaches.
- Is thoroughly indexed and cross-referenced, combining the strengths of a text book with the utility of a reference work.
- Features detailed discussions of both wet-lab approaches and statistical and computational methods.
With clear and thorough descriptions of the various methods and approaches, this book is accessible to biologists, informaticians, and statisticians alike and is aimed at readers across the academic spectrum, from advanced undergraduate students to post doctorates entering the field.
"Synopsis" may belong to another edition of this title.
About the Author
Ingvar Eidhammer, Department of Informatics, University of Bergen, Norway
Harald Barsnes, Department of Biomedicine, University of Bergen, Norway
Geir Egil Eide, Centre for Clinical Research, Haukeland University,Norway
Lennart Martens, Department of Biochemistry, Faculty of Medicine and Health Sciences, Ghent University, Belgium
"About the title" may belong to another edition of this title.
CitiRetail
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AbeBooks seller since June 29, 2022
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