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

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.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Liu, Yu (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Toronto : Apple Academic Press, 2014.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Bioinformatics :  |b the impact of accurate quantification on proteomic and genetic analysis and research /  |c edited by Yu Liu. 
264 1 |a Toronto :  |b Apple Academic Press,  |c 2014. 
300 |a 1 online resource (406 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
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505 0 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
520 |a 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. 
588 0 |a Print version record. 
504 |a Includes bibliographical references and index. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Bioinformatics  |x Statistical methods. 
650 1 2 |a Computational Biology  |x methods 
650 2 |a Computational Biology 
650 2 2 |a Data Interpretation, Statistical 
650 2 2 |a Genome-Wide Association Study 
650 2 2 |a Microarray Analysis 
650 2 2 |a Proteome  |x analysis 
650 2 2 |a Sequence Analysis, RNA 
650 6 |a Bio-informatique. 
650 6 |a Bio-informatique  |x Méthodes statistiques. 
650 6 |a Étude d'association pangénomique. 
650 7 |a NATURE  |x Reference.  |2 bisacsh 
650 7 |a SCIENCE  |x Life Sciences  |x Biology.  |2 bisacsh 
650 7 |a SCIENCE  |x Life Sciences  |x General.  |2 bisacsh 
650 7 |a Bioinformatics  |2 fast 
650 7 |a Genetics  |x Research  |2 fast 
650 7 |a Proteomics  |2 fast 
650 7 |a Bioinformatik  |2 gnd 
700 1 |a Liu, Yu,  |e editor. 
758 |i has work:  |a Bioinformatics (Liu) (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGbpKTB7R8QTjqgTdMWwwd  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Liu, Yu.  |t Bioinformatics : The Impact of Accurate Quantification on Proteomic and Genetic Analysis and Research.  |d Hoboken : Apple Academic Press, ©2014  |z 9781771880190 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1581465  |z Texto completo 
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