1st Edition

Bioinformatics The Impact of Accurate Quantification on Proteomic and Genetic Analysis and Research

Edited By Yu Liu Copyright 2014
    412 Pages 70 B/W Illustrations
    by Apple Academic Press

    412 Pages 70 B/W Illustrations
    by Apple Academic Press

    This title includes a number of Open Access chapters.



    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.

    Introduction

    Part I: RNA-Seq

    The Bench Scientist's Guide to Statistical Analysis of RNA-Seq Data; Craig R. Yendrek, Elizabeth A. Ainsworth, and Jyothi Thimmapuram

    Assembly of Non-Unique Insertion Content Using Next-Generation Sequencing; Nathaniel Parrish, Farhad Hormozdiari, and Eleazar Eskin

    RSEM: Accurate Transcript Quantification from RNA-Seq Data With or Without a Reference Genome; Bo Li and Colin N. Dewey

    Part II: Microarray

    A Regression System for Estimation of Errors Introduced by Confocal Imaging into Gene Expression Data In Situ; Ekaterina Myasnikova, Svetlana Surkova, Grigory Stein, Andrei Pisarev, and Maria Samsonova

    SPACE: An Algorithm to Predict and Quantify Alternatively Spliced Isoforms Using Microarrays; Miguel A. Anton, Dorleta Gorostiaga, Elizabeth Guruceaga, Victor Segura, Pedro Carmona-Saez, Alberto Pascual-Montano, Ruben Pio, Luis M. Montuenga, and Angel Rubio

    Link-Based Quantitative Methods to Identify Differentially Coexpressed Genes and Gene Pairs; Hui Yu, Bao-Hong Liu, Zhi-Qiang Ye, Chun Li, Yi-Xue Li, and Yuan-Yuan Li

    Dimension Reduction with Gene Expression Data Using Targeted Variable Importance Measurement; Hui Wang and Mark J. van der Laan

    Part III: GWAS

    Genome-Wide Association Study of Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis in Europe; Emmanuelle Génin, Martin Schumacher, Jean-Claude Roujeau, Luigi Naldi,Yvonne Liss, Rémi Kazma, Peggy Sekula, Alain Hovnanian, and Maja Mockenhaupt

    Genotyping Common and Rare Variation Using Overlapping Pool Sequencing; Dan He, Noah Zaitlen, Bogdan Pasaniuc, Eleazar Eskin, and Eran Halperin

    Learning Genetic Epistasis Using Bayesian Network Scoring Criteria; Xia Jiang, Richard E. Neapolitan, M. Michael Barmada, and Shyam Visweswaran

    Combined Analysis of Three Genome-Wide Association Studies on vWF and FVIII Plasma Levels; Guillemette Antoni, Tiphaine Oudot-Mellakh, Apostolos Dimitromanolakis, Marine Germain, William Cohen, Philip Wells, Mark Lathrop, France Gagnon, Pierre-Emmanuel Morange, and David-Alexandre Tregouet

    Part IV: Proteomics

    Statistical Methods for Quantitative Mass Spectrometry Proteomic Experiments with Labeling; Ann L. Oberg and Douglas W. Mahoney

    MRCQuant: An Accurate LC-MS Relative Isotopic Quantification Algorithm on TOF Instruments; William E. Haskins, Konstantinos Petritis, and Jianqiu Zhang

    Index

    Biography

    Dr. Yu Liu is a bioinformatician with special interest in next-gen sequencing and its applications. His specialties are molecular biology, DNA sequence analysis, next-gen sequencing application on gene expression analysis and comparative genomics, and microarray gene expression analysis. He is the director of the Bioinformatics Resource Center at the University of Wisconsin-Madison. He has a master's degree in computer science from the University of Wisconsin-Madison, a master's degree in developmental biology from the Chinese Academy of Science, and PhD in molecular biology from The Ohio State University.