Specialized Databases in Bioinformatics: Overview of existing databases for genetic, protein, and regulatory data. Particular emphasis on databases for non-coding RNAs, such as miRBase, lncBase, etc.
Development of Molecular Target Databases for Small RNAs: Basic principles of database design, data collection from literature and experiments, correlation of small RNAs with targets, functionality, and biological significance. Example: Development of tools like DIANA-TarBase.
Computational Prediction of Molecular Targets of Small RNAs: Sequence alignment algorithms, models of energy stability, machine learning and deep learning approaches (e.g., microT-CNN). Critical evaluation of the advantages and limitations of these approaches.
Pathway Enrichment Analysis: Application of tools to determine the functional significance of predicted or experimentally validated small RNA targets. Use of tools such as DIANA-miRPath.
Textbooks/Bibliography
Ανάλυση Βιολογικών Αλληλουχιών, R. Durbin, S. R. Eddy, A. Krogh,Gr. Mitchison. Επιστ. Επιμ. Γ. Εμίρης, ΕΚΔΟΣΕΙΣ ΠΕΔΙΟ Α.Ε., 1η /2016, ΑΘΗΝΑ
