You have entered the IISP: Interactive Information System on Pathogenomics
If you would like to insert information about your research or research group, please click to the following link to download the form. After filling it out, please send back to email@example.com or firstname.lastname@example.org.
Here you will find information about Research groups in the PathoGenoMics fields from the ERA-NET partner countries (Austria, Finland, France, Hungary, Israel, Latvia, Portugal, Slovenia and Spain).
This information is supposed to support cooperation between researchers from different European countries
and thus enhance the development of a European Research Area for PathoGenoMics .
The following information is available and can be searched for:
- researcher names
- Institution of the respective researcher, city and country of his/her institution
- Contact data of the researcher (address, phone, email)
- Research topics and studied microorganisms of the researcher
- Special techniques applied by the researcher
- Potential cooperation topics suggested by the researcher
If you have any comments/questions or if you would like to add some information, please contact email@example.com
|Name:||Prof. Dr. Karch, Helge|
|Institution:||Universitätsklinikum, Institut für Hygiene|
|Genome and transcriptome analysis of new virulence determinants of Shiga toxin-producing Escherichia coli (STEC) Genomic analysis of the etiology of severe diseases associated with enterohaemorrhagic Escherichia coli (EHEC) such as haemolytic colitis and haemolytic uraemic syndrome. Compared genomic analysis of clones and theis putative virulence factors with high clinical priority, such as Sorbitol-fermenting EHEC O157:HNM Phylogenetic analysis of STEC and EHEC Shiga toxin subtyping and its implication in the risk analysis Cloning and characterization of non-Shiga toxin virulence factors of EHEC SF EHEC O157:HNM: partial genome sequencing and defining of differences vs. EHEC O157:H7 Development of new bioinformatic tools for the analysis of sequencing data, especially with quantifiable quality|
|Special methods / technologies:|
|High-trouhgput sequencing technology PCR conventional and quantitative RT-PCR Southern blot, microarrays Sequence analysis New bioinformatic tools for the high quality analysis of sequencing data (including virtual databases)|
|Suggestions for potential research cooperations:|
|Prof. Dr. Alexander Schmidt, Institute of Infectiology, Center for Molecular Biology of Inflammation,
University of Münster, von-Esmarch Str. 56, 48149 Münster, Germany