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Home > Statistical Genomics: Methods and Protocols > Experimental Design and Power Calculation for RNA-seq Experiments
Statistical Genomics: Methods and Protocols |
Ewy Mathé; Sean Davis
Springer New York
Statistical Genomics: Methods and Protocols
Experimental Design and Power Calculation for RNA-seq Experiments
Authors

Zhijin Wu; Hao Wu

ARI Id

1664255717114_945282

Access

Not Available Free

Pages

379-390

DOI

10.1007/978-1-4939-3578-9_18

Chapter URL

https://rd.springer.com/protocol/10.1007/978-1-4939-3578-9_18

Table of Contents of Book
Showing 1 to 20 of 25 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xi
Front Matter
1-1
Overview of Sequence Data Formats
Hongen Zhang
3-17
Integrative Exploratory Analysis of Two or More Genomic Datasets
Chen Meng; Aedin Culhane
19-38
Study Design for Sequencing Studies
Loren A. Honaas; Naomi S. Altman; Martin Krzywinski
39-66
Genomic Annotation Resources in R/Bioconductor
Marc R. J. Carlson; Hervé Pagès; Sonali Arora; Valerie Obenchain; Martin Morgan
67-90
Front Matter
91-91
The Gene Expression Omnibus Database
Emily Clough; Tanya Barrett
93-110
A Practical Guide to The Cancer Genome Atlas (TCGA)
Zhining Wang; Mark A. Jensen; Jean Claude Zenklusen
111-141
Front Matter
143-143
Working with Oligonucleotide Arrays
Benilton S. Carvalho
145-159
Meta-Analysis in Gene Expression Studies
Levi Waldron; Markus Riester
161-176
Practical Analysis of Genome Contact Interaction Experiments
Mark A. Carty; Olivier Elemento
177-189
Quantitative Comparison of Large-Scale DNA Enrichment Sequencing Data
Matthias Lienhard; Lukas Chavez
191-208
Variant Calling From Next Generation Sequence Data
Nancy F. Hansen
209-224
Genome-Scale Analysis of Cell-Specific Regulatory Codes Using Nuclear Enzymes
Songjoon Baek; Myong-Hee Sung
225-240
Front Matter
241-241
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; Hinrich Gronemeyer
243-265
Operating on Genomic Ranges Using BEDOPS
Shane Neph; Alex P. Reynolds; M. Scott Kuehn; John A. Stamatoyannopoulos
267-281
GMAP and GSNAP for Genomic Sequence Alignment: Enhancements to Speed, Accuracy, and Functionality
Thomas D. Wu; Jens Reeder; Michael Lawrence; Gabe Becker; Matthew J. Brauer
283-334
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 25 entries
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