Computational Non-coding RNA Biology

Nonfiction, Science & Nature, Science, Other Sciences, Molecular Biology, Biological Sciences, Genetics
Cover of the book Computational Non-coding RNA Biology by Yun Zheng, Elsevier Science
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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
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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.

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