Statistical Genomics: Methods and Protocols (Hardcover, 2016)

Part I Groundwork 1. Overview of Sequence Data Formats Hongen Zhang 2. Integrative Exploratory Analysis of Two or More Genomic Datasets Chen Meng and Aedin Culhane 3. Study Design for Sequencing Studies Loren Honaas, Naomi Altman, and Martin Krzywinski 4. Genomic Annotation Resources in R/Bioconductor Marc RJ Carlson, Herve Pages, Sonali Arora, Valerie Obenchain, and Martin Morgan Part II Public Genomic Data 5. The Gene Expression Omnibus Database Emily Clough and Tanya Barrett 6. A Practical Guide to the Cancer Genome Atlas (TCGA) Zhining Wang, Mark A. Jensen, and Jean Claude Zenklusen Part III Applications 7. Working with Oligonucleotide Arrays Benilton S. Carvalho 8. Meta-Analysis in Gene Expression Studies Levi Waldron and Markus Riester 9. Practical Analysis of Genome Contact Interaction Experiments Mark A. Carty and Olivier Elemento 10. Quantitative Comparison of Large-Scale DNA Enrichment Sequencing Data Matthias Lienhard and Lukas Chavez 11. Variant Calling From Next Generation Sequence Data Nancy F. Hansen 12. Genome-Scale Analysis of Cell-Specific Regulatory Codes Using Nuclear Enzymes Songjoon Baek and Myong-Hee Sung Part IV Tools 13. NGS-QC Generator: A Quality Control System for ChIP-seq and Related Deep Sequencing-Generated Datasets Marco Antonio Mendoza-Parra, Mohamed-Ashick M. Saleem, Matthias Blum, Pierre Etienne Cholley, and Hinrich Gronemeyer 14. Operating on Genomic Ranges Using BEDOPS Shane Neph, Alex P. Reynolds, M. Scott Kuehn, and John A. Stamatoyannopoulos 15. GMAP and GSNAP for Genomic Sequence Alignment: Enhancements to Speed, Accuracy, and Functionality Thomas D. Wu, Jens Reeder, Michael Lawrence, Gabe Becker, and Matthew Brauer 16. Visualizing Genomic Data using Gviz and Bioconductor Florian Hahne and Robert Ivanek 17. Introducing Machine Learning Concepts with WEKA Tony C. Smith and Eibe Frank 18. Experimental Design and Power Calculation for RNA-Seq Experiments Zhijin Wu and Hao Wu 19. It's DE-licious: A Recipe for Differential Expression Analyses of RNA-Seq Experiments Using Quasi-Likelihood Methods in EdgeR Aaron T.L. Lun, Yunshun Chen, and Gordon K. Smyth