Computational Non-coding RNA Biology

Zheng, Yun

ISBN 10: 0128143657 / ISBN 13: 9780128143650

Published by Academic Press, 2018

pp. 320. Seller Inventory # 18381134228

Synopsis:

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.

• 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

About the Author: 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.

Bibliographic Details

Title: Computational Non-coding RNA Biology
Publisher: Academic Press
Publication Date: 2018
Binding: Soft cover
Condition: New