A5056422445- Anaerobic Digestion and Biogas Production
- Bioinformatics and Genomic Networks
- Biofuel production and bioconversion
- Environmental DNA in Biodiversity Studies
- Microbial metabolism and enzyme function
- Gene expression and cancer classification
- Genetics, Bioinformatics, and Biomedical Research
- Aquatic Invertebrate Ecology and Behavior
- Metabolomics and Mass Spectrometry Studies
- Microbial Metabolic Engineering and Bioproduction
- Environmental Toxicology and Ecotoxicology
- Gut microbiota and health
Bielefeld University
2023
For a sustainable production of food, research on agricultural soil microbial communities is inevitable. Due to its immense complexity, still some kind black box. Soil study designs for identifying microbiome members relevance have various scopes and focus particular environmental factors. To identify common features microbiomes, data from multiple studies should be compiled processed. Taxonomic compositions functional capabilities associated with soils plants been identified characterized...
Multi-omics datasets are an increasingly prevalent and necessary resource for achieving scientificadvances in microbial ecosystem research. However, they present twin challenges to researchinfrastructures: firstly the utility of multi-omics relies entirely on interoperability ofomics layers, i.e. formalised data linking. Secondly, microbiome derived typically leadto computationally expensive analyses, so rely availability high performancecomputing (HPC) or cloud infrastructures. These can be...
The current focus on renewable energy in global policy highlights the importance of methane production from biomass through anaerobic digestion (AD). To improve while ensuring overall process stability, microbiome-based management strategies become more important. In this study, metagenomes and metaproteomes were used for metagenomically assembled genome (MAG)-centric analyses to investigate a full-scale biogas plant consisting three differentially operated digesters. Microbial communities...
The metagenome analysis of complex environments with thousands datasets, such as those available in the Sequence Read Archive, requires immense computational resources to complete work within an acceptable time frame. Such large-scale analyses require that underlying infrastructure is used efficiently. In addition, any should be fully reproducible and workflow must publicly allow other researchers understand reasoning behind computed results. Here, we introduce Metagenomics-Toolkit, a...