About
The department of Computational Biology will be organizing new Methods Primer seminar series addressing advanced analytical methods. The meetings will be in-person only using a chalk talk format. It aims at being an open forum for both beginners and experts interested in understanding and discussing general principles and fine details of methodologies used in modern biology. It targets anyone on campus with a basic background in mathematics, statistics or algorithmic.
Primer of the day: Axel Cournac (IP, Dept of Genomes & Genetics)
Keywords: Statistical inference, pseudo-random number generators, probability distributions, spatial organization of genomes, NGS, Hi-C
Description: Genomic technologies based on high-throughput sequencing such as Hi-C generate a significant proportion of data that cannot be processed directly as it comes from repeated sequences. Here I will present an algorithmic method based on statistical inference that allows for the prediction of omics signals from repeated elements