Computational Non-coding RNA Biology

PART 1 - BACKGROUND
Chapter 1 - Introductions

1.1 Introduction to different types of non-coding RNAs

1.2 Introduction to high throughput sequencing technologies

1.3 Brief introduction of software used in the book

1.4 The file formats of sequences and sequencing profiles

1.5 The file formats for gene annotations

1.6 Reference

PART 2 - SMALL NCRNAS
Chapter 2 - Identification of microRNAs

2.1 A schematic view of the computational analysis for small RNA

2.2 The biological background for identifying miRNAs

2.3 A general pipeline for processing small RNA sequencing profiles

2.4 The pipeline for calculating length distributions of sRNAs

2.5 Calculating the abundances of miRNAs in sRNA-seq profiles

2.6 Identifying precursors of conserved miRNAs

2.7 Identifying novel pre-miRNAs from sRNA-seq

2.8 Visualizing the expression levels of miRNAs in sRNA-seq profiles

2.9 Analysis of the expression patterns of miRNAs

2.10 Analysis of miRNAs and their expression patterns

2.11 Summary

Chapter 3 - Identification of TAS and PHAS

3.1 Introduction of secondary small RNAs in plants

3.2 Identification of TAS3 in plants

3.3 Visualizing the siRNAs originated from TAS loci

3.4 Identification of PHAS in plants using sRNA-seq profiles

3.5 Analysis of results of identified TAS and PHAS loci3.6 Summary

Chapter 4 - Identification of editing and mutation sites in miRNAs

4.1 Introduction of editing and mutation sites in miRNAs

4.2 Identifying mutation and editing sites in miRNAs

4.3 Detailed commands to fulfill the MiRME pipeline

4.4 Auxiliary tools in the MiRME package

4.5 Integrating genome sequencing profiles to differentiate editing and mutations

4.6 Analysis of the MiRME results

PART 3 - MIRNA TARGETS
Chapter 5 - Identifying animal miRNA targets

5.1 The important determinants for miRNA target recognition in animals

5.2 Sequencing based methods for identifying animal miRNA targets

5.3 Traditional miRNA target prediction methods in animals

5.4 Identifying animal miRNA targets using PAR-CLIP seq

5.5 Analysis of identified miRNA targets

5.6 Summary

Chapter 6 - Identifying plant miRNA targets

6.1 The miRNA and siRNA targets recognition in plants

6.2 Traditional miRNA target prediction method in plants

6.3 Plant miRNA target prediction using degradome sequencing profiles

6.4 Analysis of the obtained results of the SeqTar pipeline

6.5 Summary

PART 4 - LONG NCRNAS
Chapter 7 - Identification of long non-coding RNAs

7.1 A schematic view of the computational analysis for sequencing profiles of long RNAs

7.2 A brief introduction of long non-coding RNAs

7.3 Identification and quantification of lncRNAs from RNA-seq profiles

7.4 Computational analysis of structures of lncRNAs

7.5 Analyzing coding capacities of lncRNAs

7.6 Analysis of the identified lncRNA candidates

7.7 Summary

Chapter 8 - Identification of lariat RNAs

8.1 Brief introduction to splicing and lariat RNAs

8.2 Identification and quantification of lariat RNAs from RNA-seq profiles

8.3 Identification of intron branch points

8.4 Lariat RNAs inhibits microRNA biogenesis

8.5 Summary

Chapter 9 - Identification of circular RNAs

9.1 Brief introduction to back-splicing and circular RNAs

9.2 Identifying circRNAs from RNA-seq profiles

9.3 Calculating the expression levels of circRNAs

9.4 Analyzing the repeat elements in introns around circRNAs

9.5 Identifying miRNA binding sites on circRNAs

9.6 Summary

Chapter A - A usage guide of web-based ncRNA resources
A.1 A usage guide of web-based ncRNA resources
A.2 UCSC Genome Browser
A.3 Visualization of ncRNAs with Integrated Genomics Viewer

Chapter B Abbreviations and acronyms
B.1 Abbreviations and acronyms