Genomic analysis involves a comprehensive examination and interpretation of genetic material in biological samples. This process encompasses a range of techniques and methodologies aimed at understanding the structure, function, and variations within the genome. This analysis unlocks a wealth of information about the biology of organisms. It is essentially the detective work of the life sciences, uncovering the secrets hidden within biological data.
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Traditionally, uncovering protein functions has been a slow and laborious process. Machine learning is revolutionising this field by acting as a powerful discovery engine for proteins. Generative models can analyse vast datasets and propose potential annotations for proteins with unknown functions or limited data. This Al-driven approach radically accelerates functional discovery, propelling us deeper into the exciting world of protein discovery and annotation.
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