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
(photo)

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)

Bioinformatics methods can provide critical support to research in the life sciences. Well known providers of bioinformatics services include the European Bioinformatics Institute of the EMBL in Cambridge, UK, and the NIH's NCBI in Bethesda, USA. Established databases and algorithms can easily be queried there by life scientists via the internet.

For reasons of limited resources, our group can unfortunately not offer bioinformatic services to other researchers. We are happy to advise colleagues, however, and gladly help with smaller tasks whenever possible. Moreover, it goes without saying that we are available for collaborations in our specialist areas (e.g., microarray data analysis, see Research for details). In case a collaboration requires additional resources, we are of course interested in jointly obtaining third party funding.

Vienna Scientific ClusterThe group has constructed an efficient infrastructure for rapid prototyping, deep data integration, and model development. For collaborators, we can offer a hotel facility with access to our servers. Boku belongs to the consortium of three universities with access to the Vienna Scientific Cluster, featuring over 3,400 cores and 11 TB of RAM. This allows us to also consider computationally more demanding applications.