Bioinformatics and Machine Learning Approaches to Understand the Regulation of Mobile Genetic Elements

• Published in: Biology (Basel, Switzerland) Vol. 10; no. 9; p. 896
• Main Authors: Giassa, Ilektra-Chara, Alexiou, Panagiotis
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 10.09.2021; MDPI
• Subjects: Bioinformatics; bioinformatics methods; Bisulfite; bisulfites; Cell size; Chemical modification; Chromatin; Classification; Datasets; Decision trees; Deoxyribonucleic acid; Disease resistance; DNA; DNA methylation; Drug resistance; evolution; Gene expression; genome; Genomes; Interdisciplinary subjects; Learning algorithms; Machine learning; mobile genetic elements; Neural networks; Nucleotide sequence; Optimization techniques; prediction; Repressors; Review; RNA; RNA modification; RNA-mediated interference; small RNAs; Support vector machines; transposable elements regulation

Transposable elements (TEs, or mobile genetic elements, MGEs) are ubiquitous genetic elements that make up a substantial proportion of the genome of many species. The recent growing interest in understanding the evolution and function of TEs has revealed that TEs play a dual role in genome evolution...