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.
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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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Presents a guide to computational non-coding RNA biology that is useful to biologists and other researchers faced with large and complex datasets
Presents a comprehensive resource of computational methods for the identification and quantification of non-coding RNAs Introduces 23 practical computational pipelines for various topics of non-coding RNAs Provides a guide to assist biologists and other researchers dealing with complex datasets Introduces basic computational methods and provides guidelines for their replication by researchers Offers a solution to researchers approaching large and complex sequencing datasets
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Produktdetaljer

ISBN
9780128143650
Publisert
2018-09-19
Utgiver
Elsevier Science Publishing Co Inc
Vekt
670 gr
Høyde
235 mm
Bredde
191 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
320

Forfatter

Biografisk notat

Yun Zheng is Associate Professor in Bioinformatics at Kunming University of Science and Technology in China. He has been working in bioinformatics for more than 10 years, concentrating on non-coding RNAs, and has published over 30 papers in the area. He has developed novel tools for a wide-range of computational topics in non-coding RNAs, validated by influential work in the field of non-coding RNAs. Yun Zheng holds a PhD from the Nanyang Technological University in Singapore.