Computational Non-coding RNA Biology
Nonfiction, Science & Nature, Science, Other Sciences, Molecular Biology, Biological Sciences, Genetics
| Author: | Yun Zheng | ISBN: | 9780128143667 |
| Publisher: | Elsevier Science | Publication: | September 14, 2018 |
| Imprint: | Academic Press | Language: | English |
| Author: | Yun Zheng |
| ISBN: | 9780128143667 |
| Publisher: | Elsevier Science |
| Publication: | September 14, 2018 |
| Imprint: | Academic Press |
| Language: | English |
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
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
