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. 2021:2254:1-13.
doi: 10.1007/978-1-0716-1158-6_1.

Bioinformatics Approaches for Functional Prediction of Long Noncoding RNAs

Fayaz Seifuddin  1 , Mehdi Pirooznia  2
Affiliations

Bioinformatics Approaches for Functional Prediction of Long Noncoding RNAs

Fayaz Seifuddin et al. Methods Mol Biol. 2021.

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.

Keywords: LncRNA Bioinformatics; LncRNA coding potential; LncRNA functional prediction; LncRNA–disease association; LncRNA–protein correlation.

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