Sanger Science
31 October 2024Arnav Lal is interested in merging clinical practice with infectious disease research. He has recently completed his year-long Master’s in Biological Science through the Churchill Scholarship, provided by the University of Cambridge. For his Master’s he conducted research at the Wellcome Sanger Institute on antimicrobial resistance and used genomics to study how bacteria pass mobile genetic elements around. We caught up with him to talk about his experiences before he moved on to his next step, beginning his studies at Harvard medical school.
24 October 202410.2 min readDr Leopold Parts, Group Leader at the Wellcome Sanger Institute, studies the effects of DNA mutations by engineering variation in cells. After almost 10 years at Sanger, he has worked across different research areas and experienced significant changes in the field of biology. We spoke with Leo to hear his vision for the role of AI in enhancing gene editing and how it may revolutionise generative and synthetic genomics.
13 June 20143.8 min read13.06.14 Measurements for obesity based on studies conducted in European populations may not be appropriate for African populations, explains Georgina Murphy
12 June 20144.6 min read12.06.14 In the quest to understand how genetics determines the way we function, there’s a layer of complexity that, up until now, we've all been ignoring, says Andrew Brown
- 12 June 20146.4 min read
12.06.14 En la cruzada por entender cómo la genética determina la forma en que funcionamos, Andrew Brown nos cuenta cómo, hasta hace poco, hemos estado ignorando un nivel de complejidad
4 June 20144.2 min read04.06.14 MRSA isn’t just a hospital infection, it can make itself a cosy home in the community. A study in Manhattan took a different approach to tracking and control, explains Janina Dordel
3 June 20143.5 min read03.06.14 Writing reviews on papers outside your area of expertise can inspire new ideas. Virologist Eva Archer talks about her recent foray into research on rabies
30 May 20141.8 min read30.05.14 Looking at patterns in vast datasets is helping researchers to pick out individual genes involved in cancer development and disregard misleading errors, explains Alistair Rust
