DNA and genetic information

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Table of contents

1 Introduction 
1.1 Biological framework
1.2 Negative binomial distribution and change-point analysis
1.3 Contribution
2 Segmentation methods for whole genome analysis using RNA-Seq data 
2.1 An efficient algorithm for the segmentation of RNA-Seq data
2.2 Model selection
2.3 Constrained HMM approach
2.4 Results on the yeast data-set
3 Segmentation methods for gene annotation using RNA-Seq data 
3.1 Method comparison
3.2 Profile comparison
3.3 EBS: R package for Exact Bayesian Segmentation
3.4 Results on the yeast dataset