FungiNet: The better way to manage your data
Free and open platform for easier research data management
Latest additions
- Lactobacillus rhamnosus colonisation antagonizes Candida albicans by forcing metabolic adaptations that compromise pathogenicity.
Publication - added 11 months ago - COVID-19 patients share common, corticosteroid-independent features of impaired host immunity to pathogenic molds.
Publication - added 11 months ago - Candida albicans SR-Like Protein Kinases Regulate Different Cellular Processes: Sky1 Is Involved in Control of Ion Homeostasis, While Sky2 Is Important for Dipeptide Utilization.
Publication - added 11 months ago - From environmental adaptation to host survival: Attributes that mediate pathogenicity of Candida auris.
Publication - added 11 months ago - Disruption of the Aspergillus fumigatus RNA interference machinery alters the conidial transcriptome.
Publication - added 11 months ago - High-Throughput Profiling of Candida auris Isolates Reveals Clade-Specific Metabolic Differences.
Publication - added 11 months ago - Genome-scale metabolic modeling of Aspergillus fumigatus strains reveals growth dependencies on the lung microbiome.
Publication - added 11 months ago - Distinct transcriptional responses to fludioxonil in Aspergillus fumigatus and its DeltatcsC and Deltaskn7 mutants reveal a crucial role for Skn7 in the cell wall reorganizations triggered by this antifungal.
Publication - added 11 months ago - Pathogen-specific innate immune response patterns are distinctly affected by genetic diversity.
Publication - added 11 months ago
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Aspergillus fumigatus Bioinformatics biological replicate Candida albicans compound treatment design ex vivo design genetic modification design growth condition design Homo sapiens Host-Pathogen Interaction Integrative Data Analysis modelling Molecular Biology Proteomics RNA-seq sampling time point strain or line Systems Biology technical replicate time series design
The FungiNet SEEK platform is to find, share and exchange within the FungiNet consortium:
Aims of the FungiNet INF project are:
- Data from A and C projects
- Mathematical/computational models from B projects
- Expertise, e. g. SOPs
Aims of the FungiNet INF project are:
- Support sharing and exchange of data, models and expertise
- Pre-processing and standardised analysis of experimental data
- Direct and support further experiments and modeling via information retrieval
- Web-based platform and service to foster collaboration and standardisation within the FungiNet consortium