
Computational Non-coding RNA Biology
Yun Zheng(Author)
Academic Press
Published on 19. September 2018
Book
Paperback/Softback
320 pages
978-0-12-814365-0 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Biologists, computational biologists, researchers in proteins and proteomics, botanists; researchers and graduate researchers working on non-coding RNA data.
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 190 mm
Width: 234 mm
Thickness: 20 mm
Weight
670 gr
ISBN-13
978-0-12-814365-0 (9780128143650)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Yun Zheng
Computational Non-coding RNA Biology
E-Book
09/2018
Academic Press
€131.00
Available for download
Person
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.
Content
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
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