Speaker
Description
In recent years, the fields of data science and bio science have been growing closer together; many state-of-the-art approaches for DNA sequencing and metagenomics, for example, make use of machine learning. However, the two disciplines often just apply techniques or use cases from the other field without truly engaging in the details, particularities, and opportunities that the most recent developments in both fields offer. This discrepancy is what motivated the Darkmatter project at Aalborg University (https://darkmatter.aau.dk/), an interdisciplinary effort where researchers from data and bio science are working together to exploit the latest state of the art in their respective fields to jointly accelerate the rate of exploration of the vast space of unexplored and unknown microbes: the microbial dark matter. In this talk, I will discuss some of the challenges and opportunities in our joint effort with a particular focus on our recent advances on metagenomic binning.
