Komorowski lab
Our laboratory is dedicated to machine learning for life sciences. Our research focuses on developing models of biological systems from big genomic data by developing machine learning, statistical methods and algorithms. Our aims are twofold: to contribute to automation of the modeling process and to make discoveries in life sciences.
Research projects
Our laboratory is dedicated to machine learning for life sciences. Our research focuses on developing models of biological systems from big genomic data by developing machine learning, statistical methods and algorithms. Our aims are twofold: to contribute to automation of the modeling process and to make discoveries in life sciences. At the center of our work are models of complex regulatory mechanisms as they change in response to genetic and environmental factors. Our researchers and students pursue studies of, among others, transcriptome data, mutation and DNA modification data, metabolomics, screening and clinical data in the context of cancer, diabetes and viral diseases.
The lab collaborates with researchers in life sciences both in Uppsala and worldwide. We contributed to the ENCODE project and are members of the PCAWG - PanCancer Analysis of WHOLE GENOMES - initiative. We participate in a highly interdisciplinary project on diabetes type 2 funded by AstraZeneca. We work together with Professor Bozena Kaminska, Nencki Institute of Experimental Biology and other Polish scientists on developing an atlas for regulatory regions in the human brain. Most recently, we have established collaboration with the US Center for Innate Immunity and Immune Disease (CIIID) in Seattle, directed by Professor Michael Gale.
We host aspiring exchange students, including high school students, who wish to learn about advanced and emerging methods of analyzing and interpreting computational models built from big genomic data.
Laboratory director, Dr. Komorowski, is Chaired Professor of Bioinformatics. Previously, he was faculty member at Harvard University, Norwegian Institute of Technology in Trondheim, Norway, and Åbo Akademi University in Turku, Finland. He is also Visiting Professor at the Institute of Computer Science of Polish Academy of Sciences. He has published extensively, among others, in Nature Genetics, Genome Research, Nature, Nucleic Acid Research, and Bioinformatics.
Welcome to our external homepage
Group members
Publications
MindReader: Unsupervised Classification of Electroencephalographic Data
Part of Sensors, 2023
Part of Scientific Reports, 2022
Machine Learning-Based Analysis of Glioma Grades Reveals Co-Enrichment
Part of Cancers, 2022
Organ-specific metabolic pathways distinguish prediabetes, type 2 diabetes, and normal tissues
Part of Cell Reports Medicine, 2022
Part of Blood Advances, p. 152-164, 2022
Functional annotation of noncoding mutations in cancer
Part of Life Science Alliance, 2021
Part of Blood Advances, p. 900-912, 2021
Interleukin-15 response signature predicts RhCMV/SIV vaccine efficacy
Part of PLoS Pathogens, 2021
Interpretable Machine Learning Reveals Dissimilarities Between Subtypes of Autism Spectrum Disorder
Part of Frontiers in Genetics, 2021
Part of Nature Communications, 2021
MetaFetcheR: An R Package for Complete Mapping of Small-Compound Data
Part of Metabolites, 2021
Multifaceted regulation of hepatic lipid metabolism by YY1
Part of Life Science Alliance, 2021
Nucleolar rDNA folds into condensed foci with a specific combination of epigenetic marks
Part of The Plant Journal, p. 1534-1548, 2021
R.ROSETTA: an interpretable machine learning framework
Part of BMC Bioinformatics, 2021
Part of Omics, p. 180-194, 2020
- DOI for A Multi-Omics Approach to Liver Diseases: Integration of Single Nuclei Transcriptomics with Proteomics and HiCap Bulk Data in Human Liver
- Download full text (pdf) of A Multi-Omics Approach to Liver Diseases: Integration of Single Nuclei Transcriptomics with Proteomics and HiCap Bulk Data in Human Liver
Analyses of non-coding somatic drivers in 2,658 cancer whole genomes
Part of Nature, p. 102-111, 2020
Part of Communications Biology, 2020
Part of Scientific Reports, 2020
- DOI for Integration of whole-body [18F]FDG PET/MRI with non-targeted metabolomics can provide new insights on tissue-specific insulin resistance in type 2 diabetes
- Download full text (pdf) of Integration of whole-body [18F]FDG PET/MRI with non-targeted metabolomics can provide new insights on tissue-specific insulin resistance in type 2 diabetes
Pan-cancer analysis of whole genomes
Part of Nature, p. 82-93, 2020
Part of Scientific Reports, 2019
Part of Journal of Psychiatric Research, p. 41-47, 2019
Part of Scientific Reports, 2019
- DOI for Intra- and inter-individual metabolic profiling highlights carnitine and lysophosphatidylcholine pathways as key molecular defects in type 2 diabetes
- Download full text (pdf) of Intra- and inter-individual metabolic profiling highlights carnitine and lysophosphatidylcholine pathways as key molecular defects in type 2 diabetes
Macrophage-associated wound healing contributes to African green monkey SIV pathogenesis control
Part of Nature Communications, 2019
Part of Human Genomics, 2019
- DOI for Studies of liver tissue identify functional gene regulatory elements associated to gene expression, type 2 diabetes, and other metabolic diseases
- Download full text (pdf) of Studies of liver tissue identify functional gene regulatory elements associated to gene expression, type 2 diabetes, and other metabolic diseases
Part of Genes, 2018
Part of Scientific Reports, 2018
PiiL: visualization of DNA methylation and gene expression data in gene pathways
Part of BMC Genomics, 2017
Part of International Journal of Cancer, p. 200-209, 2017
Part of Human Mutation, p. 904-913, 2016
Combinatorial identification of DNA methylation patterns over age in the human brain
Part of BMC Bioinformatics, 2016
Part of BMC Genomics, 2016
- DOI for Identification of combinatorial host-specific signatures with a potential to affect host adaptation in influenza A H1N1 and H3N2 subtypes
- Download full text (pdf) of Identification of combinatorial host-specific signatures with a potential to affect host adaptation in influenza A H1N1 and H3N2 subtypes
Maps of context-dependent putative regulatory regions and genomic signal interactions
Part of Nucleic Acids Research, p. 9110-9120, 2016
Part of BMC Microbiology, 2015
Part of BMC Genomics, 2015
- DOI for Different distribution of histone modifications in genes with unidirectional and bidirectional transcription and a role of CTCF and cohesin in directing transcription
- Download full text (pdf) of Different distribution of histone modifications in genes with unidirectional and bidirectional transcription and a role of CTCF and cohesin in directing transcription
Part of Molecular Ecology Resources, p. 477-488, 2015
Ciruvis: a web-based tool for rule networks and interaction detection using rule-based classifiers
Part of BMC Bioinformatics, p. 139, 2014
Part of Biochimica et Biophysica Acta, p. 1341-1350, 2014
Nucleosome regulatory dynamics in response to TGF beta
Part of Nucleic Acids Research, p. 6921-6934, 2014
Nucleosome regulatory dynamics in response to TGF-beta treatment in HepG2 cells
Part of Nucleic Acids Research, p. 6921-6934, 2014
Part of Journal of Molecular Medicine, p. 239-254, 2014
Part of BMC Medical Genomics, p. 50, 2013
Peak Finder Metaserver - a novel application for finding peaks in ChIP-seq data
Part of BMC Bioinformatics, p. 280, 2013
Random Reducts: A Monte Carlo Rough Set-based Method for Feature Selection in Large Datasets
Part of Fundamenta Informaticae, p. 273-288, 2013
Rule-Based Models of the Interplay between Genetic and Environmental Factors in Childhood Allergy
Part of PLOS ONE, 2013
Part of Algorithms for Molecular Biology, p. 2, 2012
- DOI for A strand specific high resolution normalization method for chip-sequencing data employing multiple experimental control measurements
- Download full text (pdf) of A strand specific high resolution normalization method for chip-sequencing data employing multiple experimental control measurements
Combinations of histone modifications mark exon inclusion levels
Part of PLOS ONE, 2012
Gis1 and Rph1 Regulate Glycerol and Acetate Metabolism in Glucose Depleted Yeast Cells
Part of PLOS ONE, 2012
Part of Journal of neural transmission, p. 821-831, 2012
Part of BMC Cancer, p. 450, 2011
- DOI for Cancer associated epigenetic transitions identified by genome-wide histone methylation binding profiles in human colorectal cancer samples and paired normal mucosa
- Download full text (pdf) of Cancer associated epigenetic transitions identified by genome-wide histone methylation binding profiles in human colorectal cancer samples and paired normal mucosa
Focal amplifications are associated with high grade and recurrences in stage Ta bladder carcinoma
Part of International Journal of Cancer, p. 1390-1402, 2010
People
Jan Komorowski, Professor
Carl Fredrik Barrenäs
Nicholas Baltzer
Karolina Smolinska Garbulowska
Sara Alaa Yones