Matrix Institute

Title: Augmenting k-mer sketching for (meta)genomic sequence comparisons Abstract: Over the last decade, k-mer sketching (e.g. minimizers or MinHash) to create succinct summaries of long sequences has proven effective at improving the speed of sequence comparisons. However, rigorously characterizing the accuracy of these techniques has been more difficult. In this talk, I'll touch on three […]

Title: Machine Learning in Real World Abstract: Machine learning (ML) with (deep) neural networks has gained tremendous recognition by academics and substantial industrial investments over a decade, which has led to a steady stream of advances such as enabling technologists to detect anomalies in medical images and providing high-accuracy translation between certain Pacific island and […]