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Computational Non-coding RNA Biology
Presents a guide to computational non-coding RNA biology that is useful to biologists and other researchers faced with large and complex datasets
Yun Zheng (Author)
9780128143650
Paperback / softback, published 19 September 2018
320 pages
23.4 x 19 x 2.1 cm, 0.67 kg
Computational Non-coding 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, the identification of miRNA/siRNA targets, and the identification of mutations and editing sites in miRNAs. The book introduces basic ideas of computational methods, along with their detailed computational steps, a critical component in the development of high throughput sequencing technologies for 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. Therefore, it is usually possible for biologists to complete all of the necessary steps for analysis.
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
Subject Areas: DNA & Genome [PSAK1], Genetics [non-medical PSAK]
