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