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Aleksandr Sahakyan

MRC WIMM Group Leader

computational biology, machine learning, data integration, molecular medicine, genome, transcriptome and proteome

Our research targets genomics through the development of highly quantitative methods for describing the structure and dynamics of (epi)genome, gene regulatory pathways, involved macromolecules and their interaction networks. We are interested in combining advanced machine learning, computational biology, computational chemistry and experimental biophysical and sequencing techniques to reach a new level of precision in structural systems biology at both genome and proteome levels.

Recent publications

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