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RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA
Published on: April 10, 2018
Bioinformatics Approaches for Functional Prediction of Long Noncoding RNAs
Fayaz Seifuddin1, Mehdi Pirooznia2
1Bioinformatics and Computational Biology, National Heart, Lung, and Blood Institute National Institutes of Health, Bethesda, MD, USA.
Abstract:
There is accumulating evidence that long noncoding RNAs (lncRNAs) play crucial roles in biological processes and diseases. In recent years, computational models have been widely used to predict potential lncRNA-disease relations. In this chapter, we systematically describe various computational algorithms and prediction tools that have been developed to elucidate the roles of lncRNAs in diseases, coding potential/functional characterization, or ascertaining their involvement in critical biological processes as well as provide a comprehensive summary of these applications.
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