the large amount of genetic, phenotypic, and structural data from diverse conditions and environments offers opportunities for new groundbreaking research. today, the major scientific task is to interpret the vast number of genetic variants within these data. as described in this chapter, identifying relevant variants and connecting them with the associated protein structural and environmental information is a powerful approach to biological discoveries. the unified view of the data brings us a step closer to understanding genetic variation, which is also fundamental for achieving the goals of personalized medicine and the planet’s environment.
Durairaj, J., Alexander Leila, T., Studer, G., Tauriello, G., Guarnetti Prandi, I., Lepore, R., et al. (2023). From Genomes to Variant Interpretations Through Protein Structures. In G.B. Silvano Coletti (a cura di), Exscalate4CoV High-Performance Computing for COVID Drug Discovery (pp. 41-49). Springer Nature Switzerland AG [10.1007/978-3-031-30691-4_6].
From Genomes to Variant Interpretations Through Protein Structures
Chillemi, Giovanni;
2023-01-01
Abstract
the large amount of genetic, phenotypic, and structural data from diverse conditions and environments offers opportunities for new groundbreaking research. today, the major scientific task is to interpret the vast number of genetic variants within these data. as described in this chapter, identifying relevant variants and connecting them with the associated protein structural and environmental information is a powerful approach to biological discoveries. the unified view of the data brings us a step closer to understanding genetic variation, which is also fundamental for achieving the goals of personalized medicine and the planet’s environment.| File | Dimensione | Formato | |
|---|---|---|---|
|
Durairaj23_Chap6_B.pdf
solo utenti autorizzati
Tipologia:
Versione Editoriale (PDF)
Licenza:
Copyright dell'editore
Dimensione
5.47 MB
Formato
Adobe PDF
|
5.47 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
