PD Dr. Bernhard Renard, Robert Koch-Institut Berlin
Infectious diseases are caused by microorganisms, such as bacteria,
viruses, parasites, or fungi and result in millions of deaths per year
worldwide. The increasing availability of omics data from next
generation sequencing or mass spectrometry platforms allow a deep
insight into the genome, transcriptome, or proteome of a pathogen and
its interaction with the human host.
We develop algorithms and statistical procedure which facilitate the
analysis of these large-scale data sets and allow integration of results
across experiments. In particular, we are interested in the following
key questions: How can we analyze metaomics experiments and pinpoint the
constituents of complex environmental samples if possible at high
resolution to the species or strain-level in limited time? How can we
take advantage of proteogenomics and quantitative proteomics approaches
to decipher the coding information of the genome of non-model organisms
and to disentangle quantitative information for the systematic
understanding of infections? How can we interrelate experiments and
integrate epidemiological data to gain insight into outbreaks and
acquire causative relationships within infection chains.
While we develop novel methods, we are highly interested in bringing
them into application in close collaboration with experimental and
epidemiological groups inside the Robert Koch Institute as well as
outside. Applications are highly diverse and range from investigating
the spread of ebola to diagnosing cowpox virus and from molecular
understanding of chlamydia infection to deciphering the complex genome
of the highly pathogenic amoeba Balamuthia mandriallaris.
01.07.2016 | 14:00 c.t.
Takustr. 9, SR 055