AGENTIC-SYSTEMSJune 25, 20251 min read23 views

AlphaGenome: AI for better understanding the genome

Google DeepMind introduces AlphaGenome, an AI framework designed to predict the effects of genetic variants on gene expression, marking a significant milestone in genomic research.

Acknowledgements

We would like to thank Juanita Bawagan, Arielle Bier, Stephanie Booth, Irina Andronic, Armin Senoner, Dhavanthi Hariharan, Rob Ashley, Agata Laydon and Kathryn Tunyasuvunakool for their help with the text and figures.

This work was done thanks to the contributions of the AlphaGenome co-authors: Å½iga Avsec, Natasha Latysheva, Jun Cheng, Guido Novati, Kyle R. Taylor, Tom Ward, Clare Bycroft, Lauren Nicolaisen, Eirini Arvaniti, Joshua Pan, Raina Thomas, Vincent Dutordoir, Matteo Perino, Soham De, Alexander Karollus, Adam Gayoso, Toby Sargeant, Anne Mottram, Lai Hong Wong, Pavol DrotÃ¡r, Adam Kosiorek, Andrew Senior, Richard Tanburn, Taylor Applebaum, Souradeep Basu, Demis Hassabis and Pushmeet Kohli.

We would also like to thank Dhavanthi Hariharan, Charlie Taylor, Ottavia Bertolli, Yannis Assael, Alex Botev, Anna Trostanetski, Lucas TenÃ³rio, Victoria Johnston, Richard Green, Kathryn Tunyasuvunakool, Molly Beck, Uchechi Okereke, Rachael Tremlett, Sarah Chakera, Ibrahim I. Taskiran, Andreea-Alexandra MuÅat, Raiyan Khan, Ren Yi and the greater Google DeepMind team for their support, help and feedback.

Source: Google DeepMind Blog

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