Read more about the functional dark side of genomics and metagenomes
Exploring microbial communities beyond time and space in the Microbial EcoGenomics Group
The Group is focused on the development and application of new methodologies to analyze modern and ancient (meta)genomic data. Our interests range from the reconstruction of past environmental changes to the characterization of the unknown coding sequence space in microbiome analyses.
The Microbial EcoGenomics Group combines interdisciplinary research fields to study modern and ancient microbial communities. The group focuses in the development of new analytical and computational approaches:
- To perform complex analyses of modern and ancient microbial communities
- To explore and structure the known and unknown coding sequence space in genomes and metagenomes
- To expand the toolkit for biodiscovery in environmental samples
- Vanni et al. (2020). Light into the darkness: Unifying the known and unknown coding sequence space in microbiome analyses. BioRxiv
- Sichert A et al. (2020). Verrucomicrobia use hundreds of enzymes to digest the algal polysaccharide fucoidan. Nature Microbiology.
- McGhee JJ et al. (2020). Meta-SourceTracker: Application of Bayesian source tracking to shotgun metagenomics. PeerJ.
- Navarro-Muñoz J et al. (2020). A computational framework for systematic exploration of biosynthetic diversity from large-scale genomic data. Nature Chemical Biology.
- Richter D et al. (2020). Genomic evidence for global ocean plankton biogeography shaped by large-scale current systems. BioRxiv.
- Lemmonier C et al. (2020). Linking Spatial and temporal dynamic of bacterioplankton communities with ecological strategies across a coastal frontal area. Frontiers in Marine Science.
See full list of publications by Antonio Fernandez-Guerra
|Christiane Hassenrück||Postdoc (MARUM - Bremen)|
PhD student (Max Planck Institute for Marine Microbiology - Bremen)
|PhD student (MARUM - Bremen)|
Rodrigo Hernández Velázquez
|MSc student (Max Planck Institute for Marine Microbiology - Bremen)|