In recent years, there has been a remarkable revolution in the theory and application of bioinformatics. The emergence of new technologies, along with the abundance of diverse data types to be integrated within the context of personalized medicine, presents various methodological challenges across different domains. These include, for instance, challenges in single-cell analysis, individual genome analysis, pan-genomes, multi-omics data analysis, and the seamless integration of such data with clinical information.

From translational bioinformatics computational methodologies to personalized medicine

Di Camillo, Barbara
;
Giugno, Rosalba
2024-01-01

Abstract

In recent years, there has been a remarkable revolution in the theory and application of bioinformatics. The emergence of new technologies, along with the abundance of diverse data types to be integrated within the context of personalized medicine, presents various methodological challenges across different domains. These include, for instance, challenges in single-cell analysis, individual genome analysis, pan-genomes, multi-omics data analysis, and the seamless integration of such data with clinical information.
2024
machine learning bioinformatics personalize medicine
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1121777
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