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Computational Non-coding RNA Biology

  • 1st Edition - September 14, 2018
  • Author: Yun Zheng
  • Language: English
  • Paperback ISBN:
    9 7 8 - 0 - 1 2 - 8 1 4 3 6 5 - 0
  • eBook ISBN:
    9 7 8 - 0 - 1 2 - 8 1 4 3 6 6 - 7

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-co… Read more

Computational Non-coding RNA Biology

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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.