Computational Non-coding Rna Biology
- ISBN13：9780128143650
- 出版社：Academic Pr
- 作者：Yun Zheng
- 裝訂／頁數：平裝／350頁
- 規格：23.5cm*19.1cm (高/寬)
- 出版日：2018/10/01
商品簡介
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
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