AI and the future of generative biology
17 ott 2024 ·
8 min. 29 sec.
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Descrizione
Artificial intelligence (AI) is transforming biology by enabling researchers to efficiently analyse vast biological datasets and identify complex patterns. Wellcome Sanger Institute researchers are leveraging generative AI tools to predict,...
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Artificial intelligence (AI) is transforming biology by enabling researchers to efficiently analyse vast biological datasets and identify complex patterns. Wellcome Sanger Institute researchers are leveraging generative AI tools to predict, design, and engineer biological sequences, such as DNA and proteins.
Artificial Intelligence (AI) is valuable in genomics because it enables researchers to analyse vast amounts of complex genomic data more efficiently and accurately than before. For example, each human genome contains around 3 billion base pairs1 and large-scale studies can involve hundreds of thousands of genomes. AI can also help identify patterns and correlations in data that are too subtle or complex for us to detect, and predict the impact of specific changes. Of course, this is caveated with the risk of false positives (identifying patterns that are not correct), which can require lots of data to gain confidence in the findings.
Generative AI could transform the field of genomics by offering innovative tools and approaches to understanding complex biological data. It will become increasingly important as genomic data grows in volume and complexity, and AI tools become more powerful. This has led to the new scientific field of generative genomics.
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Artificial Intelligence (AI) is valuable in genomics because it enables researchers to analyse vast amounts of complex genomic data more efficiently and accurately than before. For example, each human genome contains around 3 billion base pairs1 and large-scale studies can involve hundreds of thousands of genomes. AI can also help identify patterns and correlations in data that are too subtle or complex for us to detect, and predict the impact of specific changes. Of course, this is caveated with the risk of false positives (identifying patterns that are not correct), which can require lots of data to gain confidence in the findings.
Generative AI could transform the field of genomics by offering innovative tools and approaches to understanding complex biological data. It will become increasingly important as genomic data grows in volume and complexity, and AI tools become more powerful. This has led to the new scientific field of generative genomics.
Informazioni
| Autore | Wellcome Sanger Institute |
| Organizzazione | Wellcome Sanger Institute |
| Sito | - |
| Tag |
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