Metagenomics allows us to study microbes and phages in their natural environment without the need for cultivation. It is revolutionizing our understanding of the impacts of our gut microbiomes on our healt and the biochemical and geological processes that microbes catalyse in the environment. However, the deluge of data is challenging previous analysis tools, and the analysis of metagenomic datasets is now the main time and cost bottleneck. J. Söding will present several methods to help in the high-throughput analysis of large metagenomic datasets: Fast sequence (profile) searches for sequence annotations (MMseqs2), sequence clustering (linclust), protein-giuded nucleotide sequence assembly, and phage-host predictions (space-pharer and WiSH).
His research interest covers development of statistical and computational methods for analyzing data from high-throughput biological experiments. His work is focused on protein function and structure prediction, sequence search and assembly in metagenomics, transcription regulation, gene regulatory networks, and systems medicine. More informations here.
Invited by Eric Pelletier
Contact : Catherine Sarlande