Our meeting this year includes approximately 50 researchers who each have
a unique “non-model” model system, or are using well-established model systems in new ways. This year has a particularly broad range of topics including models for marine systems, cancer, development and evolution. Emerging Model Systems. January
In response to covid-19, several of my students and colleagues at Concordia Department of
Biology prepared this primer into the literature of covid-19 for our students. Hopefully it assists you with exploring the disease. A primer into the covid-19 literature.
As announced by Concordia, courses will remain in an on-line format this fall.
In repsonse to these covid-19-related measures, we have optmized
the deliver of our bioinformatics course for this format.
You can read more about it here
BIOL 480/510/630 Bioinformatics: Data Science for Biology. We have also modernized the structure the course to follow
closer the excellent on-line resource R for Data Science In essence, we will work within
the tidyverse to better advance students visualization and data analysis skills.
It was a great pleasure to speak at the first
Canadian Fungal Network meeting Twitter: @CanFunNet.
A lot of great talks.
Mike spoke about drug tolerance in Candida albicans. The talk is available here.
Van spoke about a deep learning-based tool to recognize Candida albicans morphologies.
Shawn Simpson successfully completed his MSc where he analyzed the microbiome of the Barbadian coral reef. The manuscript is currently available from the bioRxiv
With Vincent Martin, Malcolm Whiteway and Agropur, we received funding from Genome Canada/Genome Quebec for a syntheic biology application entitled Bioprocess Development for Lactose Valorisation.
Several members of the lab with Vanessa Dumeaux created a not-for-profit cooperative entitled SCIEL. The mandate of SCIEL is to bring deep learning-based single cell approaches to market.
Samira Massahi successfully defended her MSc thesis.