معرفی
Marc Monot is a researcher and platform manager at the Biomics platform within the Institut Pasteur, a leading institution in microbiology and infectious diseases. He plays a central role in managing next-generation sequencing (NGS) technologies and bioinformatics resources, supporting both internal and external research teams. His work bridges technological infrastructure and scientific discovery, particularly in microbial genomics and host-pathogen interactions.
His research interests span genomics, transcriptomics, bioinformatics, phage biology, Clostridioides difficile pathogenesis, single-cell analysis, and microbial biofilms. He applies high-throughput sequencing and computational tools to understand bacterial virulence, adaptation, and gene regulation. His work often involves developing and applying bioinformatics pipelines for NGS data analysis.
The recent publications highlight a strong focus on microbial genomics and host-pathogen dynamics. Key themes include pathogen evolution (e.g., Listeria, Candida, C. difficile), phage biology, biofilm formation, and vaccine development. The use of advanced techniques like single-cell transcriptomics and long-read sequencing (e.g., Oxford Nanopore) is evident, reflecting a commitment to cutting-edge methodologies. His work bridges fundamental biology with potential clinical and public health applications.
Marc Monot has led and contributed to significant research projects such as CDPhages – ANR JCJC and the Single Cell Transcriptomics, Epigenetics and Genomics initiative. He has also developed key bioinformatics tools like PhageTerm and COV2HTML, demonstrating expertise in both wet-lab and computational biology.
He has been actively involved in training and education, organizing and teaching workshops on bacterial RNAseq and NGS data analysis, contributing to capacity building in genomics both at Institut Pasteur and internationally (e.g., in Tunis). His collaborations span multiple teams and international partners, reflecting an integrative and collaborative research approach.
