Inhoudsopgave:
|
\u003cp\u003e\u003ci\u003eComputational Non-coding RNA Biology\u003c/i\u003e 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. \u003c/p\u003e \u003cp\u003eFinding, 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. \u003c/p\u003e\u003cul\u003e \u003cli\u003ePresents a comprehensive resource of computational methods for the identification and quantification of non-coding RNAs\u003c/li\u003e \u003cli\u003eIntroduces 23 practical computational pipelines for various topics of non-coding RNAs\u003c/li\u003e \u003cli\u003eProvides a guide to assist biologists and other researchers dealing with complex datasets\u003c/li\u003e \u003cli\u003eIntroduces basic computational methods and provides guidelines for their replication by researchers\u003c/li\u003e \u003cli\u003eOffers a solution to researchers approaching large and complex sequencing datasets\u003c/li\u003e\u003c/ul\u003e |
nl
en