Ami’s paper is now published! A protein language model has learned that proteins are made of functional units, often known as protein domains or regions. 10,000s of protein domains have been identified over the years by some of our favourite bioinformatics teams (e.g., pfam). But Ami shows that by looking …
Incredibly creative work by our lab this year. After the ballots are all counted, our pumpkin won 1st place! You can see that the pumpkin has been turned into a pineapple, and then into a house. Thanks to everyone who worked on it. It has been an incredible run for …
Taking a walk outside for is a great source of inspiration. This year, the Moses Lab took that walk at Ontario’s Matterhorn – Dundas Peak. There was a very high waterfall, and the locals were a bit skeptical of visitors. The temperatures might’ve been low, but the spirits were high …
In the past few years, a new organization has formed to focus on machine learning for non-globular proteins: ML4NGP. Be sure to catch up with Alan at this year’s conference!
Genome sequences specify 1000s of the components of cells and organisms, usually using millions or billions of A,C,G and Ts. As computational biologists, ideally, we would use the entire genome sequence to make predictions about phenotype. Leveraging recent IT breakthroughs (thanks NVIDIA), Cameron figured out a way train deep learning …
The origin of life is one of the great mysteries of science. Of course, no one was there to observe it and there are many reasons that it’s tricky to figure out how you could get a living thing from non-living material. Inspired by recent research in biological condensates, Alan …
Check out our review paper on large language models for the genome.
Check out our latest idea for how to visualize subcellular localization changes for 1000s of proteins! The map and arrows are made with no training data about localization — directly from the images! (colours are from visual inspection of images 20 years ago.)
This spring, we continued our tradition of “retreating” from our usual work in the lab. Thanks to Denise, we also have a lab art project for this year. Here we are at work. Despite predictions of rain, we had great weather and got out on the water. Of course, the …
Andrew’s paper shows that homologs can be used to augment sequence data
