Computational Non-Coding RNA Biology

Erscheinungsjahr 2018
ISBN: 978-0-12-814365-0
Verlag: Elsevier Science

Buch, Englisch, 320 Seiten, Format (B × H): 234 mm x 190 mm, Gewicht: 670 g

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.

Zielgruppe

<p>Biologists, computational biologists, researchers in proteins and proteomics, botanists; researchers and graduate researchers working on non-coding RNA data.</p>

Autoren/Hrsg.

Zheng, Yun

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Naturwissenschaften Biowissenschaften Biowissenschaften DNA und Transgene Organismen
• Naturwissenschaften Biowissenschaften Biowissenschaften Genetik und Genomik (nichtmedizinisch)
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik

Inhaltsverzeichnis

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

Über Autor(innen)

Zheng, Yun
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.