Computational non-coding RNA biology
著者
書誌事項
Computational non-coding RNA biology
Academic Press, an imprint of Elsevier, c2019
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注記
Includes bibliographical references (p. 277-294) and index
内容説明・目次
内容説明
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.
目次
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
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