Robert Koch Institut
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Dr. Martin Hölzer Dr. Martin Hölzer’s research focuses on microbial bioinformatics, specializing in de novo assembly and annotation, transcriptomics, comparative genomics, metagenomics, and metatranscriptomics. With a strong foundation in Bioinformatics from the University of Jena and hands-on experience from an internship at the European Bioinformatics Institute, he now leads a bioinformatics research team at the Genome Competence Center of the Robert Koch Institute (RKI), Germany's Public Health institute. The team is dedicated to studying infectious diseases using innovative technologies, particularly real-time nanopore long-read sequencing. They develop and apply data-driven computational and statistical approaches in bioinformatics to analyze high-throughput omics data, addressing Public Health concerns and infectious diseases involving viruses, bacteria, and fungi. Within the framework of MARRES, Dr. Hölzer’s team supports metagenomic sequencing and bioinformatics efforts, including the construction of metagenome-assembled genomes, taxonomic classification, and AMR annotation. Their contributions enhance the understanding of antimicrobial resistance (AMR) by identifying and characterizing AMR genes and pathogens. This work is vital for tracking the spread of AMR and informing strategies to combat infectious diseases in a One Health context. |
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Sabrina Kruse Description follows... |
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Hugues Richard Hugues Richard is a Senior Researcher and Principal Investigator at the Robert Koch Institute in the Bioinformatics and Translational Research team (Genome Competence Center). With a background in statistics and computational biology, he has been an Associate Professor at Sorbonne University since 2009 (Computer Science dept, currently on leave). His research focuses on statistical methods for high-throughput sequencing data and computational genomics. Dr. Richard's recent projects include creating tools for analyzing large-scale transcriptomic and metagenomics data, the analysis of bacterial pangenomes, and developing algorithms for the genomics of transplantation and the molecular diagnostics of pathogens. |
