We are a group of computational, systems, and evolutionary biologists broadly interested in molecular evolution, population genetics, and the dynamics and evolution of gene regulatory networks. Our approach is both theoretical and experimental and we try to tackle the big questions in these fields by building on the latest advances in computer science and systems biology.
LATEST LAB NEWS
| Dec 2022 | Congratulations to Dr. Nirvana for defending her PhD! |
| Sept 2022 | Congratulations to Aqsa for finishing her MSc! |
| June 2022 | Wow: contrastive learning using evolution as the training signal. Check out Alex's paper. |
| May 2022 | Wishing best of luck to Iva who is starting her group in Graz |
CRZ1 Pulse - From Ian's research project
RECENT PUBLICATIONS
| Hua SBZ, Lu AX, Moses AM. CytoImageNet: A large-scale pretraining dataset for bioimage transfer learning Learning Meaningful Representations of Life (LMRL 2021) arxiv Link PDF Mirror Article Deep learning Image Analysis Microscopy Screens |
| Hsu IS, Strome B, Lash E, Robbins N, Cowen LE, Moses AM. A functionally divergent intrinsically disordered region underlying the conservation of stochastic signaling PLoS Genet. 2021 Sep 10; 17(9):e1009629 PLoS Genetics Link PDF Mirror PubMed Abstract Article Regulatory networks Intrinsically Disordered Regions Time lapse microscopy Cell signalingMolecular evolution |
| Hsu IS Quantitative Experimental and Mathematical Approaches to Extract Information about Transcription Factor Pulsing University of Toronto 2021 Thesis Link PhD thesis Computational modeling Regulatory networks Time lapse microscopyCell signaling |
CONTACT US
The Moses Lab is affiliated with the departments of Cell and Systems Biology, Computer Science, and Ecology and Evolutionary Biology at the University of Toronto. Our lab is in the Ramsay-Wright Labs (25 Harbord St.), located on the southwest side of the St. George Campus. To contact Alan or other lab members, please visit the People page.
