Showing posts with label Proteomics. Show all posts
Showing posts with label Proteomics. Show all posts
Saturday, January 12, 2013

Introduction to Computational Proteomics

Introduction to Computational Proteomics



Author: Golan Yona
Edition: 1
Publisher: Chapman and Hall/CRC
Binding: Hardcover
ISBN: 1584885556



Introduction to Computational Proteomics (Chapman & Hall/CRC Mathematical & Computational Biology)


Introduction to Computational Proteomics introduces the field of computational biology through a focused approach that tackles the different steps and problems involved with protein analysis, classification, and meta-organization. Medical books Introduction to Computational Proteomics . The book starts with the analysis of individual entities and works its way through the analysis of more complex entities, from protein families to interactions, cellular pathways, and gene networks.

The first part of the book presents methods for identifying the building blocks of the protein space, such as motifs and domains. It also describes algorithms for assessing similarity between proteins based on sequence and structure analysis as well as mathematical models, such as hidden Markov models and support vector machines, that are used to represent protein families and classify new instances.

The second part covers methods that investigate higher order structure in the protein space through the application of unsupervised learning algorithms, such as clustering and embedding Medical books Introduction To Computational Proteomics. This book is written by Anonymous Published by CRC Press In 2010 and is available in Hardback POD will be shipped in 12 Days.

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This book is written by Anonymous Published by CRC Press In 2010 and is available in Hardback POD will be shipped in 12 Days.

"This book tackles the steps and problems involved with protein analysis, classification, and meta-organization. It starts with the analysis of individual entities and proceeds to the analysis of more complex entities, from protein families to interactions, cellular pathways, and gene networks. The first part of the book presents methods for identifying the building blocks of the protein space, algorithms for assessing similarity between proteins, and mathematical models for representing protein familiesand classifying new instances. The second part covers methods that investigate higher order

Contributors: Golan Yona - Author. Format: Hardcover

Contributors: Golan Yona - Author. Format: Hardcover



Medical Book Introduction to Computational Proteomics



The book starts with the analysis of individual entities and works its way through the analysis of more complex entities, from protein families to interactions, cellular pathways, and gene networks.

The first part of the book presents methods for identifying the building blocks of the protein space, such as motifs and domains. It also describes algorithms for assessing similarity between proteins based on sequence and structure analysis as well as mathematical models, such as hidden Markov models and support vector machines, that are used to represent protein families and classify new instances.

The second part covers methods that investigate higher order structure in the protein space through the application of unsupervised learning algorithms, such as clustering and embedding. The book also explores the broader context of proteins. It discusses methods for analyzing gene expression data, predicting protein-protein interactions, elucidating cellular pathways, and reconstructing gene networks.

This book provides a coherent and thorough introduction to proteome analysis. It offers rigorous, formal descriptions, along with detailed algorithmic solutions and models. Each chapter includes problem sets from courses taught by the author at Cornell University and the Technion. Software downloads, data sets, and other material are available at biozon.org



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Friday, February 10, 2012

Bayesian Inference for Gene Expression and Proteomics

Bayesian Inference for Gene Expression and Proteomics



Author: Marina Vannucci
Edition: 1
Publisher: Cambridge University Press
Binding: Hardcover
ISBN: 052186092X



Bayesian Inference for Gene Expression and Proteomics


The interdisciplinary nature of bioinformatics presents a research challenge in integrating concepts, methods, software and multiplatform data. Medical books Bayesian Inference for Gene Expression and Proteomics. Although there have been rapid developments in new technology and an inundation of statistical methods for addressing other types of high-throughput data, such as proteomic profiles that arise from mass spectrometry experiments. This book discusses the development and application of Bayesian methods in the analysis of high-throughput bioinformatics data that arise from medical, in particular, cancer research, as well as molecular and structural biology. The Bayesian approach has the advantage that evidence can be easily and flexibly incorporated into statistical methods. A basic overview of the biological and technical principles behind multi-platform high-throughput experimentation is followed by expert reviews of Bayesian methodology, tools and software for single group inference, group comparisons, classification and clustering, motif discovery and regulatory networks, and Bayesian networks and gene interactions Medical books Bayesian Inference for Gene Expression and Proteomics by Do, Kim-Anh/. Bayesian Inference for Gene Expression and Proteomics by Do, Kim-Anh/ Mueller, Peter/ Vannucci, Marina [Hardcover]

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Bayesian Inference for Gene Expression and Proteomics by Do, Kim-Anh/ Mueller, Peter/ Vannucci, Marina [Hardcover]

Bayesian Inference for Gene Expression And Proteomics , ISBN-13: 9780521860925, ISBN-10: 052186092X

Bayesian Inference for Gene Expression and Proteomics Ucmbs 9781107636989 09781107636989

The interdisciplinary nature of bioinformatics presents a research challenge in integrating concepts, methods, software and multiplatform data. Although there have been rapid developments in new technology and an inundation of statistical methods for addressing other types of high-throughput data, such as proteomic profiles that arise from mass spectrometry experiments. Bayesian Inference for Gene Expression and Proteomics discusses the development and application of Bayesian methods in the analysis of high-throughput bioinformatics data that arise from medical, in particular, cancer research,



Medical Book Bayesian Inference for Gene Expression and Proteomics



Although there have been rapid developments in new technology and an inundation of statistical methods for addressing other types of high-throughput data, such as proteomic profiles that arise from mass spectrometry experiments. This book discusses the development and application of Bayesian methods in the analysis of high-throughput bioinformatics data that arise from medical, in particular, cancer research, as well as molecular and structural biology. The Bayesian approach has the advantage that evidence can be easily and flexibly incorporated into statistical methods. A basic overview of the biological and technical principles behind multi-platform high-throughput experimentation is followed by expert reviews of Bayesian methodology, tools and software for single group inference, group comparisons, classification and clustering, motif discovery and regulatory networks, and Bayesian networks and gene interactions.

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Saturday, October 22, 2011

Mass Spectrometry Data Analysis in Proteomics pdf

Mass Spectrometry Data Analysis in Proteomics



Author:
Edition: 2007
Publisher: Humana Press
Binding: Hardcover
ISBN: 158829563X



Mass Spectrometry Data Analysis in Proteomics (Methods in Molecular Biology, Vol. 367)


This is an in-depth guide to the theory and practice of analyzing raw mass spectrometry (MS) data in proteomics. Medical books Mass Spectrometry Data Analysis in Proteomics . The volume outlines available bioinformatics programs, algorithms, and databases available for MS data analysis Medical books Mass Spectrometry Data Analysis in Proteomics. Categories: Spectrum analysis, Mass->Methods, Mass spectrometry, Proteomics. Contributors: Rune Matthiesen - Author. Format: Hardcover

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Categories: Spectrum analysis, Mass->Methods, Mass spectrometry, Proteomics. Contributors: Rune Matthiesen - Author. Format: Hardcover

Categories: Spectrum analysis, Mass->Methods, Mass spectrometry, Proteomics. Contributors: Rune Matthiesen - Author. Format: Hardcover

Categories: Mass spectrometry, Proteomics, Mass spectrometry. Contributors: Rune Matthiesen - Author. Format: Paperback

Humana Press 9781588295637 Mass Spectrometry Data Analysis in Proteomics Description This is an in-depth guide to the theory and practice of analyzing raw mass spectrometry (MS) data in proteomics. The 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 par



Medical Book Mass Spectrometry Data Analysis in Proteomics



The 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.

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Saturday, September 10, 2011

Proteomics of Spermatogenesis

Proteomics  of Spermatogenesis



Author: G. S. Gupta
Edition: 2005
Publisher: Springer
Binding: Hardcover
ISBN: 038725398X



Proteomics of Spermatogenesis


Recent developments of experimental techniques in cellular and molecular biology have made it possible to understand the molecular biology of male gametogenesis in greater detail. Medical books Proteomics of Spermatogenesis. This book focuses on the description of specialized proteins, which are dominantly and/or specifically expressed in germ cells and localized in spermatozoa. There is an urgent need to classify proteins of spermatogenic cells with a view of their functions, and their applications in the regulation of fertility and in understanding infertility. The understanding of structural properties of male germ cell specific proteins can offer vulnerable points for targeted intervention in testis without generalized effects on stages of spermatogenesis. Besides targeted action in male germ cells, sperm specific proteins and polypeptides may also offer potential application in the development of a contraceptive vaccine Medical books Proteomics of Spermatogenesis. Categories: Spermatogenesis, Proteomics, Spermatogenesis. Contributors: GS Gupta - Author. Format: Hardcover

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Download link for Proteomics of Spermatogenesis

Categories: Spermatogenesis, Proteomics, Spermatogenesis. Contributors: GS Gupta - Author. Format: Hardcover

Categories: Spermatogenesis, Proteomics, Spermatogenesis. Contributors: GS Gupta - Author. Format: Hardcover

Categories: Spermatogenesis, Proteomics, Spermatogenesis. Contributors: GS Gupta - Author. Format: Hardcover

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Medical Book Proteomics of Spermatogenesis



This book focuses on the description of specialized proteins, which are dominantly and/or specifically expressed in germ cells and localized in spermatozoa. There is an urgent need to classify proteins of spermatogenic cells with a view of their functions, and their applications in the regulation of fertility and in understanding infertility. The understanding of structural properties of male germ cell specific proteins can offer vulnerable points for targeted intervention in testis without generalized effects on stages of spermatogenesis. Besides targeted action in male germ cells, sperm specific proteins and polypeptides may also offer potential application in the development of a contraceptive vaccine.

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