Bioinformatics : the impact of accurate quantification on proteomic and genetic analysis and research / / edited by Yu Liu, PhD

• Pubblicazione: Waretown, NJ : , : Apple Academic Press, Inc.; Boca Raton, FL : , : CRC Press, , [2014]; ©2014
• Edizione: First edition.
• Descrizione fisica: 1 online resource (406 p.)
• Disciplina: 570.285
• Soggetto topico: Bioinformatics; Computational biology
• Persona (resp. second.): LiuYu
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references at the end of each chapters.
• Nota di contenuto: 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
• Sommario/riassunto: 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.
• Titolo autorizzato: Bioinformatics
• ISBN: 0-429-15779-7; 1-4822-4662-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910828479303321
• Lo trovi qui: Univ. Federico II