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Detection of secondary structure motifs in long non-coding RNAs

  • The almost complete transcription of the human genome yield in a high number of transcripts, that do not encode proteins. However, the functional elucidation of especially long non cod-ing RNAs is still difficult. Secondary structure analysis is assumed to be a possible method to detect functional relationships of lncRNAs on a large scale, but it is still time consuming and error-prone. GRAPHCLUST, the currently most suitable clustering tool based on RNA secondary structure analysis, lacks mainly in an efficient method for the interpretation of its results. Hence, an independent and interactive RNA clustering interpretation tool was developed to allow visu-alisation and an efficient analysis of RNA clustering results.
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Author:Karolin Wiedemann
Document Type:Master's Thesis
Date of Publication (online):2015/03/25
Publishing Institution:Hochschule Mittweida
Release Date:2015/03/25
GND Keyword:Non-coding RNA; Sekundärstruktur
Institutes:03 Mathematik / Naturwissenschaften / Informatik
Dewey Decimal Classification:570 Biowissenschaften, Biologie
Open Access:Frei zugänglich
Licence (German):License LogoEs gilt das UrhG