Biology
Group dedicated to studying biology.
Organizer:
- Organized by
-
-
What is computational genomics?
-
What is computational genomics?
Computational genomics is the science based on genome sequencing using a variety of techniques and methods based on statistical and computational analysis, to study the functions of regions of the genome itself, in order to guide research in biology, medicine and pharmacology.
The reconstruction of the human genome sequence represents in some ways the episode that has recognized computational genomics as a key discipline in the study of biological processes.
It is a discipline in continuous evolution, which in the space of a few years has seen scholars questioning various approaches, from the traditionally reductionist one, focused in a systemic way on single genes, to the most recent experimental methods, which exploit the progressive evolution of computational systems to obtain an increasing amount of genomic data with increasingly reduced time and costs.
To give an idea, the oft-mentioned reconstruction of the human genome sequence, originally required a commitment of billions of dollars in research, for over ten years of hard work, which today could be solved in a few days of calculation, with costs absolutely derisory in comparison.
One of the most fascinating aspects of computational genomics is the different possible approaches to research. The data-driven genomics is the perfect example to describe this feeling, as it results in the constant creation of new models and languages to analyze data in an increasingly interoperable way, in order to coordinate the effects of multiple research in parallel, in the direction of establishing a true Internet of Genomics, paraphrasing the most famous and inflated meaning of IoT (Internet of Things).
On these assumptions is based, for example, the research project GeCo of the Politecnico di Milano, which uses large public databases and can be used both at the Cineca Consortium and freely downloaded from the servers of the university.
Among the secondary objectives of GeCo is that of enabling healthcare facilities to use their datasets for precision medicine, in order to identify personalized care pathways based on the clinical data of each patient.
-
0 Replies
Sorry, there were no replies found.