News from the group:
CAMDA'18 Conference
ISMB Track
7-8 July 2018,
Chicago, U.S.A.
(read more)
Outstanding Presentation Prize
for MM Kańduła
at CAMDA'17
Outstanding Presentation Prize
for PP Łabaj
at CAMDA'15 (photo)
OeAW APART fellowship
for PP Łabaj

Sequencing Quality Control (SEQC) project,
MAQC Consortium 2011–2014 (read more)
Host–parasite interactions in biocontrol, WWTF grant 2010–2013 (read more)

Power and limitations of RNA-Seq,
FDA SEQC, Nature Biotechnology (read more)
Characterization and improvement of RNA-Seq precision,
Bioinformatics (read more)
Impact of heavy tails in microarray analysis, Bioinformatics (read more)
Novel conserved repeats in sorting signals,
FEBS Journal (read more)
Sound sensation gene,
Nature communications
(read more)
RNA interference in ageing research,
Gerontology (read more)

Peter Sykacek, Ph.D.

Head of Analytical Methods Development

+43 1 47654 79165

Interests: Probabilistic modelling using approximations from statistical Physics or Monte Carlo methods. Optimal combination of multi sensor data and background information. Data analysis in the Life Sciences

Background: PhD at ÖFAI Vienna on probabilistic modelling of sleep EEG. Postdoc in the Pattern Analysis and Machine Learning Research Group, University of Oxford on probabilistic models for Brain Computer Interface research. Senior postdoc at the Departments of Genetics and Pathology of Cambridge University with responsibilities for probabilistic modelling and statistical analysis of microarray data.

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