Download Gene Ontology (GO) - The Linnaeus Centre for Bioinformatics

Komorowski's Bioinformatics Lab








Courses
o DCB
o KBIB
Repositories
o Rosetta
o PFMS
o Ciruvis
o Visunet
o tfNet
o More
 Base Plug-ins
Publications
Funding
News
Members
o Group Leader
o Group Members
o Former Members
Home
Latest Publications
Identification of combinatorial host-specific signatures with a potential to affect host
adaptation in influenza A H1N1 and H3N2 subtypes
Khaliq Z., Leijon M., Belák S. and Komorowski J.... View All
Maps of context-dependent putative regulatory regions and genomic signal interactions
Klev Diamanti, Husen M. Umer, Marcin Kruczyk, Mich... View All
Latest News
The Komorowski lab ski retreat
2017-04-04 14:32:38
Last week our group enjoyed skiing in Kungsberget.... Read More
Visit by Ass. Prof. Magdalena Mozolewska
2017-04-03 14:54:36
Magdalena Mozolewska is Assistant Professor in res... Read More
Contact us
Welcome to Komorowski's BioInformatics
Lab
The bioinformatics group research is a reflection of the field: on one hand we develop algorithms
and build tools and software systems that enable answering complex questions in Life Sciences,
on the other hand we try to come with answers to these questions. Our modus of work is
distinguished by collaboration.
Our flagship is the Rosetta system that implements an environment for developing rough set
classifiers from large and very large data collected in decision systems. In recent years we moved
towards decision systems with thousands of features and extended our computational framework
with Monte Carlo Feature Selection and Random Reducts. Rosetta can now be executed on
multicore architecture. We take a step away from univariate and linear thinking and help answer
questions which groups of features (variables) and in which combinations contribute most to the
outcome (decision).
Data in the form of decision tables is omnipresent in Life Sciences. Examples of solved problems
in different domains include but are not limited to:





functional genomics - how to predict gene’s participation in a biological process from
gene expression time profiles and how to assign function to new genes from such
profiles; Genome Research and Bioinformatics
proteomics - which positions of octamer polypeptides and for what values, ie. amino
acids are decisive for cleavage or non-cleavage by HIV protease; Proteins
chromatin - what is organization of nucleosomes in gene bodies; Genome Research
medicine - which gene-gene pairs and with which environmental factors interact in
allergy; PLoS One
epigenetics - what are combinatorial associations of histone modifications to exon
expression; PLoS One
Our present interest is in transcriptomics with a particular focus on the interplay of chromatin
structure and DNA and their modifications. Of major interest are common mechanisms behind
common disease such as diabetes type II, gliomas and cervix cancer. We also continue our work
in proteomics and virology, and, it goes without saying, on the algorithms and tools.
Our main collaborators are:



Professor Claes Wadelius, Department of Immunology, Genetics and Pathology, Uppsala
University
Professor Jacek Koronacki, Institute of Computer Science, Polish Academy of Sciences
Professor Bozena Kaminska, The Nencki Institute of Experimental Biology, Polish
Academy of Sciences.
Copyright © 2017 Komorowski's BioInformatics Lab, Uppsala University | developed by
Klev Diamanti | design from HTML5webtemplates.co.uk