The Final ImResFun Scientific Conference of the EC-funded Marie-Curie Initial Training Network ImResFun is now announced.

Publication: Candidalysin is a fungal peptide toxin critical for mucosal infection

ITN Practical Course "C2a", Barcelona, Spain (May 10-15, 2015)

ITN Meeting, La Colle sur Loup, France (May 16, 2015)

HPF2015, La Colle sur Loup, France (May 16-22, 2015)

ITN Practical Course "S3" & "C3", Madrid, Spain (July 6-10, 2015)

ITN Mid-Term Review Meeting, Vienna, Austria (November 3, 2015)

ITN Practical Course "S5" & "C5", Tübingen, Germany (May 9-11, 2016)

ITN Lecture Course "S4" & "C4", Szeged, Hungary (July 2-8, 2016)

ITN Practical Course "S6" & "C6", Göttingen, Germany (October 26-28, 2016)

ITN Symposium "S7" & Final Consortium Meeting, Innsbruck, Austria (January 28-30, 2017)


Name & Address

Leif Schauser Portrait

Leif SchauserSenior Bioinformatics ScientistParticipant ImResFun
CLC bio, a QIAGEN Company, Silkeborgvej 2, 8000 Aarhus C, Denmark
Phone: +45-70-223244

Experienced Researcher (ER): (Start January / February 2015)

Novel bionformatic / algorithms for dual infection systems biology

The ER will develop methods for mining datasets in order to enable the prediction of inter-species and regulatory networks of pathogenesis. Also, comparative genomic approaches will be used in order to predict and identify interspecies regulatory network implicated in virulence. Finally correlation software for data analysis from clinical patient samples will be developed.

Main Research Interests

CLC bio, a QIAGEN Company is a world leading software provider for Next Generation Sequencing (NGS) data analysis and comprehensive bioinformatics, and provides an extensive and versatile platform for NGS-based analyses. The ER will handle various NGS entities, especially RNA-Seq-derived data sets, and perform differential transcription and expression analyses. The ER will take advantage of a knowledge-dense and productive environment to develop novel bioinformatics methods suitable for unraveling host-pathogen interactions and drug resistance in prevalent human fungal pathogens such as Candida spp.

ImResFun is a Marie Curie Initial Training Networks (ITN) Program providing an exceptional opportunity for young researchers to advance their careers in an international, interdisciplinary, scientific network, which connects them to both academia and the private sector. The ImResFun network draws on resources across the European research community to provide training for a number of early-stage and experienced researchers. The principal mission of ImResFun is to train a new generation of promising scientists to bridge the gap between molecular pathology and computational biology, and to prepare this generation for the emerging field of “New Biology” in which systems-level and quantitative approaches are fully integrated in the analysis of profound and complex scientific problems related to host-pathogen interactions.