Editorial: Computational Systems Biology of Pathogen-Host Interactions
View Publication On PubMed
Export 
BiBTeXSEEK ID: https://funginet.hki-jena.de/publications/65
PubMed ID: 26870002
Projects: B3 (E), FungiNet B - Bioinformatics projects, INF
Publication type: Not specified
Journal: Front Microbiol
Citation:
Date Published: 4th Feb 2016
Registered Mode: Not specified
Export PNG
Download
Submitter
Views: 2921
Created: 29th Apr 2016 at 11:43
Last updated: 17th Jan 2024 at 10:24
TagsThis item has not yet been tagged.
AttributionsNone
Related items
Bioprocess data analysis (data mining) Transcriptomics and proteomics data analysis and modelling Gene Regulatory Network inference (Reverse engineering) Decision making support systems in diagnostics, therapy and biotechnology
I study the analysis of high-throughput transcriptom and genome data.
For transcritom data (RNA-Seq, microarrays), I perform preprocessing and statistics to identify differentially expressed genes, as well as their functional analysis. My main focus is the analysis of transcriptom data from human fungal pathogens in infection related conditions (f.e. nutrient limitation) as well as during the interaction with the host (dual RNA-seq). Experimental data is used to set up mathematical models for ...
The yeast Candida albicans and the filamentous fungus Aspergillus fumigatus are by far the most important causes of life-threatening invasive mycoses in Europe. Despite the increasing incidence of these infections, the current diagnosis is still difficult and often too late, and options for therapies are limited. Moreover, A. fumigatus and C. albicans have developed multiple sophisticated, specific and unique pathogenicity mechanisms. Many of these mechanisms are not well understood. Research on ...
Projects: FungiNet total, FungiNet A - Aspergillus projects, FungiNet B - Bioinformatics projects, FungiNet C - Candida projects, INF, A1, A2, A3, A4 (E), A5, B1, B2, B3 (E), B4, C1, C2, C3, C4 (E), C5, C6 (E), Z2, Z1, B5, A6, A7, A8, C7
Web page: http://www.funginet.de/home.html
Integrated database for experimental data
Within the Collaborative Research Center / Transregio 124 “Pathogenic fungi and their human host: Networks of Interaction – FungiNet”, the INF project is responsible to analyse and share OMICS data. Databases help to foster the collaboration within FungiNet as an important point of the Collaborative Research Center. Therefore, we set-up two databases:
a) SEEK is a web-based platform to find, share and exchange unstructured data and knowledge, such as ...
Predictive modelling of host-fungal pathogen interactions by reconstruction of gene regulatory networks
