Computational Non-coding RNA Biology

Non-coding RNAs are molecules that play important roles in biological systems and human disease. The development of high throughput sequencing technologies has led to the critical task of identifying different classes of non-coding RNAs and predicting the possible functions of these molecules. Finding, quantifying, and visualizing non-coding RNAs from high throughput sequencing datasets at high volume is complex. It is therefore not usually possible for biologists to complete all necessary steps for analysis independently. Computational Non-coding of RNA Biology is a resource for the computation of non-coding RNAs. The book covers computational methods for the identification and quantification of non-coding RNAs, including miRNAs, tasiRNAs, phasiRNAs, lariat originated circRNAs and back-spliced circRNAs, identification of miRNA/siRNA targets, and identification of mutations and editing sites in miRNAs. The book introduces basic ideas of computational methods, and the computational steps are given in sufficient detail for the reader to replicate the method on their own datasets.

Presents a comprehensive resource for computational methods for the identification and quantification of non-coding RNAsProvides a guide to assist biologists and other researchers dealing with complex datasetsIntroduces basic computational methods, and provides guidelines for their replication by researchersOffers a solution to researchers approaching large and complex sequencing datasets

PART 1 - BACKGROUND 1. Introductions

PART 2 - SMALL NCRNAS 2. Identification of microRNAs 3. Identification of TAS and PHAS 4. Identification of editing and mutation sites in miRNAs

PART 3 - MIRNA TARGETS 5. Identifying animal miRNA targets 6. Identifying plant miRNA targets

PART 4 - LONG NCRNAS  7. Identification of long non-coding RNAs 8. Identification of lariat RNAs 9. Identification of circular RNAs

A. A usage guide of web-based ncRNA resources B. Abbreviations and acronyms