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Bioinformatics : the impact of accurate quantification on proteomic and genetic analysis and research

Author: Yu Liu
Publisher: Toronto : Apple Academic Press, 2014.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
The book introduces bioinformatic and statistical methodology and shows approaches to bias correction and error estimation. It also presents quantitative methods for genome and proteome analysis.
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Liu, Yu.
Bioinformatics : The Impact of Accurate Quantification on Proteomic and Genetic Analysis and Research.
Hoboken : Apple Academic Press, ©2014
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Yu Liu
ISBN: 9781482246629 1482246627
OCLC Number: 870946465
Description: 1 online resource (406 pages) : illustrations
Contents: Front Cover; About the Editor; Contents; Acknowledgments and How to Cite; List of Contributors; Introduction; Part I: RNA-Seq; Chapter 1: The Bench Scientist's Guide to Statistical Analysis of RNA-Seq Data; Chapter 2: Assembly of Non-Unique Insertion Content Using Next-Generation Sequencing; Chapter 3: RSEM: Accurate Transcript Quantification from RNA-Seq Data With or Without a Reference Genome; Part II: Microarray; Chapter 4: A Regression System for Estimation of Errors Introduced by Confocal Imaging into Gene Expression Data in Situ. Chapter 5: SPACE: An Algorithm to Predict and Quantify Alternatively Spliced Isoforms Using MicroarraysChapter 6: Link-Based Quantitative Methods to Identify Differentially Coexpressed Genes and Gene Pairs; Chapter 7: Dimension Reduction with Gene Expression Data Using Targeted Variable Importance Measurement; Part III: GWAS; Chapter 8: Genome-Wide Association Study of Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis in Europe; Chapter 9: Genotyping Common and Rare Variation Using Overlapping Pool Sequencing. Chapter 10: Learning Genetic Epistasis Using Bayesian Network Scoring CriteriaChapter 11: Combined Analysis of Three Genome-Wide Association Studies on vWF and FVIII Plasma Levels; Part IV: Proteomics; Chapter 12: Statistical Methods for Quantitative Mass Spectrometry Proteomic Experiments with Labeling; Chapter 13: MRCQuant: An Accurate LC-MS Relative Isotopic Quantification Algorithm on TOF Instruments; Author Notes.
Responsibility: edited by Yu Liu.

Abstract:

The book introduces bioinformatic and statistical methodology and shows approaches to bias correction and error estimation. It also presents quantitative methods for genome and proteome analysis.

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