SOURCE-LINKED INTELLIGENCE

The rules of miRNA-target interactions

CORDIS · observation · Publication date unknown

The aim of this project is to use bioinformatic methods to gain more knowledge about the mechanisms of miRNA-target interactions. We will approach this problem from several angles: 1) Using the deep learning methodology recently developed by the host group (miRBind), which reaches a single nucleotide resolution in its predictions; 2) Analyzing the interactions from an evolutionary perspective; 3) Developing a customized pairwise alignment algorithm combined with a dedicated statistical methodology. The Researcher will benefit from this project by gaining experience in the field of genomics in a multidisciplinary, collaborative environment. In the future, the results of this project will enable creating knowledge-driven machine learning models for improved prediction of the molecular targets of miRNAs, which will facilitate the fundamental and applied research on the complex biology of these molecules. microRNA, miRNA, miRNA-target interactions, MTI, sequence alignment, Smith-Waterman, miRNA seed

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recordType

award

status

SIGNED

region

EU

value

189474.24

unit

EUR