Year: 2010
Type: article
Abstract: Non-Coding RNAs (ncRNAs) such as microRNAs play an important role in the gene regulation.Studies on both prokaryotic and eukaryotic cells show that ncRNAs usually bind to their target mRNA to regulate the translation of corresponding genes.Therapeutic applications of RNA interference and antisense RNA regulation strongly motivate the problem of predicting whether two RNAs interact.In the past few years, high-throughput sequencing technologies have identified a large set of new regulatory ncRNAs, but the number of experimentally verified targets is considerably low.Thus, computational target prediction methods are in high demand.Current methods for predicting ncRNA-target mRNA interactions suffer from low specificity and accuracy.Moreover, their high computational complexity makes them impractical for genome-wide target prediction problems.It is a great pleasure that I would like to thank those who have supported me in any respect during my Ph.D. study.First and foremost, my utmost gratitude to my supervisor, Prof. Cenk Sahinalp, for his encouragement, guidance
Source: Summit (Simon Fraser University)
Author: Raheleh Salari
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W2273619169
