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Dirk Repsilber

Title: Professor School/office: School of Medical Sciences

Email:

Phone: +46 19 301256

Room: C2218

Dirk Repsilber

About Dirk Repsilber

As professor in Functional Bioinformatics my mission is to run both research and teaching activity in Functional Bioinformatics, as truly integrated multi-disciplinary venture at Örebro University. As of 2017, we are involved in projects of medical, biomedical, biological and chemical research, as well as in methods development regarding the core bioinformatics field.

Personal development

I started to get interested in genetic regulatory networks' architecture and function as part of my PhD thesis which I finished in 1999 at the University of Hamburg, Germany. In the year 2000 I started as PostDoc both at Uppsala University, Department of Molecular Evolution, and at SLU, Uppsala, Institute for Biometry and Statistics. Working on reverse engineering of genetic networks I came in touch with the first microarray gene expression studies and began to develop towards functional bioinformatics. Back in Germany, in 2003, at the Institute for Medical Statistics and Biometry of the University at Lübeck, I became involved in analyzing molecular profiles as part of clinical studies, as well as in biostatistics counseling. Later, at the Chair of Bioinformatics of the Institute for Biochemistry and Biology, University of Potsdam, multivariate statistical analysis approaches and statistical learning were in focus and how these methods could be further developed towards allowing integrative analyses (profile and phenome data from different sources). In 2007, I started as head of a working group for Biomathematics and Bioinformatics at the Leibniz Institute for Farm Animal Biology, FBN-Dummerstorf. Analysis of pooled profile data, as well as profile data from heterogeneous tissues was in focus of my methodological work for several years, extended by statistical modeling of random effects, to analyze genome-wide SNP-data in animal populations of known kinship structure. Now – being back to functional bioinformatics for medical research, my vision is to offer research both for integrative bioinformatics data analysis as well as for methods development, teaching at all levels with a truly cross-disciplinary approach, as well as cross-disciplinary supervision on Master, PhD, and PostDoc levels.

Research Interests

Biosignature screening on both data analysis level and methods developing level is my core interest. Cooperations with clinical medicine and biomedicine define the basis in terms of specific problems and datasets, while together with biostatisticians and biomathematicians I am interested in building and extending methods capable to use functional network a priori knowledge, and, vice versa, to use biosignature candidate results to learn more about regulatory structures of the underlying biomedical system. The link between molecular features as good biosignature building blocks and their mechanistical, functional relation to the clinical phenomenon is not a simple one-to-one mapping. Both different levels of biological organisation and network structures on the diverse molecular levels play decisive roles. The art of tailor-made modeling together with data handling, interpretation of results, and related biostatistical consultation is my profession.

These research objectives imply a strong cross-disciplinary commitment, and I feel dedicated to combine approaches and work tightly together with researchers from the fields of medicine and molecular biology, statistics, computer science, physics and mathematics, all feeding into rewarding developments for functional bioinformatics investigations. Taking the integrative, functional bioinformatics perspective, it has always been the systems scale which was my main field of interest and scientific work: elucidating structure and function of the genotype-phenotype map, in health and disease.

Education and supervision

The nature of my research focus involves special needs for cross-disciplinary communication skills, to understand and be understood by molecular biologists, medical doctors, geneticists, computer scientists, mathematicians, statisticians and theoretical physicists. My experiences include teaching among others medical doctors, biologists, and computer scientists, also frequently together in interdisciplinary courses, both at all academic levels and outside universities. The experiences from a wide variety of courses, are complemented with my experiences as supervisor for several PhD students who were originally educated in different fields. In addition, I was able to educate my communication qualities as leader of junior research groups, and later as Head of Unit for Biomathematics and Bioinformatics, as well as managing the collaborations with senior scientists both within my group, within Germany and Sweden, and within my international network of research co-operations. I take a problem-based teaching approach in functional bioinformatics which in my experience has proven to be eligible to achieve a motivation basis for deep learning, especially in courses with students from different scientific fields, fostering trans-disciplinary understanding and communication. I established a Statistical Bioinformatics Counseling activity as an infrastructure for knowledge transfer as well as for establishing future co-operations, within Örebro University and outside.

Research Projects

Research Teams

Publications

Publications

Articles in journals |  Chapters in books |  Conference papers |  Manuscripts |  Reports | 

Articles in journals

Krishna, S. , Kiselev, A. , Kristoffersson, A. , Repsilber, D. & Loutfi, A. (2019). A Novel Method for Estimating Distances from a Robot to Humans Using Egocentric RGB Camera. Sensors, 19 (14).
Djekic, D. , Pinto, R. , Repsilber, D. , Hyötyläinen, T. & Henein, M. (2019). Serum untargeted lipidomic profiling reveals dysfunction of phospholipid metabolism in subclinical coronary artery disease. Vascular Health and Risk Management, 15, 123-135.
Drobin, K. , Assadi, G. , Hong, M. , Andersson, E. , Fredolini, C. , Forsström, B. , Reznichenko, A. , Akhter, T. & et al. (2019). Targeted Analysis of Serum Proteins Encoded at Known Inflammatory Bowel Disease Risk Loci. Inflammatory Bowel Diseases, 25 (2), 306-316.
Holster, S. , Lindqvist, C. M. , Repsilber, D. , Salonen, A. , de Vos, W. , König, J. & Brummer, R. J. (2019). The Effect of Allogenic Versus Autologous Fecal Microbiota Transfer on Symptoms, Visceral Perception and Fecal and Mucosal Microbiota in Irritable Bowel Syndrome: A Randomized Controlled Study. Clinical and Translational Gastroenterology, 10 (4).
Ganda Mall, J. , Östlund-Lagerström, L. , Lindqvist, C. M. , Algilani, S. , Rasoal, D. , Repsilber, D. , Brummer, R. J. , V. Keita, Å. & et al. (2018). Are self-reported gastrointestinal symptoms among older adults associated with increased intestinal permeability and psychological distress?. BMC Geriatrics, 18 (1).
Björkqvist, O. , Repsilber, D. , Seifert, M. , Engstrand, L. , Rangel, I. & Halfvarson, J. (2018). Increasing abundance of faecalibacterium prausnitzii is associated with decreased intestinal inflammation in Crohn's disease: A longitudinal study. Journal of Crohn's & Colitis, 12 (Suppl. 1), S468-S469.
Edebol-Carlman, H. , Ljotsson, B. , Linton, S. J. , Boersma, K. , Schrooten, M. , Repsilber, D. & Brummer, R. J. (2017). Face-to-Face Cognitive-Behavioral Therapy for Irritable Bowel Syndrome: The Effects on Gastrointestinal and Psychiatric Symptoms. Gastroenterology Research and Practice.
Gunaltay, S. , Repsilber, D. , Helenius, G. , Nyhlin, N. , Bohr, J. , Hultgren, O. & Hultgren Hörnquist, E. (2017). Oligoclonal T-cell Receptor Repertoire in Colonic Biopsies of Patients with Microscopic Colitis and Ulcerative Colitis. Inflammatory Bowel Diseases, 23 (6), 932-945.
Andersson, E. , Bergemalm, D. , Kruse, R. , Neumann, G. , D'Amato, M. , Repsilber, D. & Halfvarson, J. (2017). Subphenotypes of inflammatory bowel disease are characterized by specific serum protein profiles. PLoS ONE, 12 (10).
Koskela von Sydow, A. , Janbaz, C. , Kardeby, C. , Repsilber, D. & Ivarsson, M. (2016). IL-1α Counteract TGF-β Regulated Genes and Pathways in Human Fibroblasts. Journal of Cellular Biochemistry, 117 (7), 1622-1632.
Andersson, E. , Bergemalm, D. , Kruse, R. , D'Amato, M. , Repsilber, D. & Halfvarson, J. (2016). Inflammatory biomarkers in serum discriminate Crohn's disease and ulcerative colitis from healthy controls. Journal of Crohn's & Colitis, 10 (Suppl. 1), S86-S87.
Östlund-Lagerström, L. , Kihlgren, A. , Repsilber, D. , Björkstén, B. , Brummer, R. J. & Schoultz, I. (2016). Probiotic administration among free-living older adults: a double blinded, randomized, placebo-controlled clinical trial. Nutrition Journal, 15.
Zebunke, M. , Repsilber, D. , Nuernberg, G. , Wittenburg, D. & Puppe, B. (2015). The backtest in pigs revisited: an analysis of intra-situational behaviour. Applied Animal Behaviour Science, 169, 17-25.
Rangel, I. , Sundin, J. , Fuentes, S. , Repsilber, D. , de Vos, W. M. & Brummer, R. J. (2015). The relationship between faecal-associated and mucosal-associated microbiota in irritable bowel syndrome patients and healthy subjects. Alimentary Pharmacology and Therapeutics, 42 (10), 1211-1221.
Telaar, A. , Repsilber, D. & Nürnberg, G. (2013). Biomarker discovery: classification using pooled samples. Computational statistics (Zeitschrift), 28 (1), 67-106.
Graunke, K. L. , Nürnberg, G. , Repsilber, D. , Puppe, B. & Langbein, J. (2013). Describing temperament in an ungulate: a multidimensional approach. PLoS ONE, 8 (9).
Melzer, N. , Wittenburg, D. , Hartwig, S. , Jakubowski, S. , Kesting, U. , Willmitzer, L. , Lisec, J. , Reinsch, N. & et al. (2013). Investigating associations between milk metabolite profiles and milk traits of Holstein cows. Journal of Dairy Science, 96 (3), 1521-34.
Wittenburg, D. , Melzer, N. , Willmitzer, L. , Lisec, J. , Kesting, U. , Reinsch, N. & Repsilber, D. (2013). Milk metabolites and their genetic variability. Journal of Dairy Science, 96 (4), 2557-69.
Vogel, K. U. , Edelmann, S. L. , Jeltsch, K. M. , Bertossi, A. , Heger, K. , Heinz, G. A. , Zöller, J. , Warth, S. C. & et al. (2013). Roquin paralogs 1 and 2 redundantly repress the Icos and Ox40 costimulator mRNAs and control follicular helper T cell differentiation. Immunity, 38 (4), 655-68.
Weiner, J. , Parida, S. K. , Maertzdorf, J. , Black, G. F. , Repsilber, D. , Telaar, A. , Mohney, R. P. , Arndt-Sullivan, C. & et al. (2012). Biomarkers of inflammation, immunosuppression and stress with active disease are revealed by metabolomic profiling of tuberculosis patients. PLoS ONE, 7 (7), e40221.
Meyer, R. C. , Witucka-Wall, H. , Becher, M. , Blacha, A. , Boudichevskaia, A. , Dörmann, P. , Fiehn, O. , Friedel, S. & et al. (2012). Heterosis manifestation during early Arabidopsis seedling development is characterized by intermediate gene expression and enhanced metabolic activity in the hybrids. The Plant Journal, 71 (4), 669-83.
Graunke, K. L. , Langbein, J. , Repsilber, D. & Schön, P. C. (2012). Objectively measuring behaviour traits in an automated restraint-test for ungulates: towards making temperament measurable. Journal of Agricultural Science, 151 (1), 141-149.
Krappmann, K. , Wurmser, C. , Repsilber, D. , Fries, R. , Weikard, R. , Kesting, U. & Kühn, C. (2012). Short communication: evaluation of bovine milk residues from routine milk testing programs as DNA source for genotyping. Journal of Dairy Science, 95 (9), 5436-41.
Brand, B. , Hartmann, A. , Repsilber, D. , Griesbeck-Zilch, B. , Wellnitz, O. , Kühn, C. , Ponsuksili, S. , Meyer, H. H. D. & et al. (2011). Comparative expression profiling of E. coli and S. aureus inoculated primary mammary gland cells sampled from cows with different genetic predispositions for somatic cell score. Genetics Selection Evolution, 43 (1).
Maertzdorf, J. , Ota, M. , Repsilber, D. , Mollenkopf, H. J. , Weiner, J. , Hill, P. C. & Kaufmann, S. H. E. (2011). Functional correlations of pathogenesis-driven gene expression signatures in tuberculosis. PLoS ONE, 6 (10).
Maertzdorf, J. , Repsilber, D. , Parida, S. K. , Stanley, K. , Roberts, T. , Black, G. , Walzl, G. & Kaufmann, S. H. E. (2011). Human gene expression profiles of susceptibility and resistance in tuberculosis. Genes and Immunity, 12 (1), 15-22.
Scheubert, L. , Schmidt, R. , Repsilber, D. , Lustrek, M. & Fuellen, G. (2011). Learning biomarkers of pluripotent stem cells in mouse. DNA research, 18 (4), 233-51.
Jacobsen, M. , Repsilber, D. , Kleinsteuber, K. , Gutschmidt, A. , Schommer-Leitner, S. , Black, G. , Walzl, G. & Kaufmann, S. H. E. (2011). Suppressor of cytokine signaling-3 is affected in T-cells from tuberculosis TB patients. Clinical Microbiology and Infection, 17 (9), 1323-31.
Repsilber, D. , Kern, S. , Telaar, A. , Walzl, G. , Black, G. F. , Selbig, J. , Parida, S. K. , Kaufmann, S. H. E. & et al. (2010). Biomarker discovery in heterogeneous tissue samples: taking the in-silico deconfounding approach. BMC Bioinformatics, 11.
Andorf, S. , Selbig, J. , Altmann, T. , Poos, K. , Witucka-Wall, H. & Repsilber, D. (2010). Enriched partial correlations in genome-wide gene expression profiles of hybrids (A. thaliana): a systems biological approach towards the molecular basis of heterosis. Theoretical and Applied Genetics, 120 (2), 249-59.
Warsow, G. , Greber, B. , Falk, S. S. I. , Harder, C. , Siatkowski, M. , Schordan, S. , Som, A. , Endlich, N. & et al. (2010). ExprEssence: revealing the essence of differential experimental data in the context of an interaction/regulation net-work. BMC Systems Biology, 4, 164.
Repsilber, D. , Martinetz, T. & Björklund, M. (2009). Adaptive dynamics of regulatory networks: size matters. EURASIP Journal on Bioinformatics and Systems Biology.
Günther, J. , Koczan, D. , Yang, W. , Nürnberg, G. , Repsilber, D. , Schuberth, H. , Park, Z. , Maqbool, N. & et al. (2009). Assessment of the immune capacity of mammary epithelial cells: comparison with mammary tissue after challenge with Escherichia coli. Veterinary research (Print), 40 (4).
Hartmann, A. , Nürnberg, G. , Repsilber, D. , Janczyk, P. , Walz, C. , Ponsuksili, S. , Souffrant, W. & Schwerin, M. (2009). Effects of threshold choice on the results of gene expression profiling, using microarray analysis, in a model feeding experiment with rat. Archiv für Tierzucht, 52 (1), 65-78.
Degenkolbe, T. , Do, P. T. , Zuther, E. , Repsilber, D. , Walther, D. , Hincha, D. K. & Köhl, K. I. (2009). Expression profiling of rice cultivars differing in their tolerance to long-term drought stress. Plant Molecular Biology, 69 (1-2), 133-53.
Schuck, S. D. , Mueller, H. , Kunitz, F. , Neher, A. , Hoffmann, H. , Franken, K. L. C. M. , Repsilber, D. , Ottenhoff, T. H. M. & et al. (2009). Identification of T-cell antigens specific for latent mycobacterium tuberculosis infection. PLoS ONE, 4 (5).
Selbig, J. , Steinfath, M. & Repsilber, D. (2009). Network structure and biological function: reconstruction, modeling, and statistical approaches. EURASIP Journal on Bioinformatics and Systems Biology.
Andorf, S. , Gärtner, T. , Steinfath, M. , Witucka-Wall, H. , Altmann, T. & Repsilber, D. (2009). Towards systems biology of heterosis: a hypothesis about molecular network structure applied for the Arabidopsis metabolome. EURASIP Journal on Bioinformatics and Systems Biology.
Roehle, A. , Hoefig, K. P. , Repsilber, D. , Thorns, C. , Ziepert, M. , Wesche, K. O. , Thiere, M. , Loeffler, M. & et al. (2008). MicroRNA signatures characterize diffuse large B-cell lymphomas and follicular lymphomas. British Journal of Haematology, 142 (5), 732-44.
Schauer, N. , Semel, Y. , Balbo, I. , Steinfath, M. , Repsilber, D. , Selbig, J. , Pleban, T. , Zamir, D. & et al. (2008). Mode of inheritance of primary metabolic traits in tomato. The Plant Cell, 20 (3), 509-23.
Jacobsen, M. , Mattow, J. , Repsilber, D. & Kaufmann, S. H. E. (2008). Novel strategies to identify biomarkers in tuberculosis. Biological chemistry (Print), 389 (5), 487-95.
Hoefig, K. P. , Thorns, C. , Roehle, A. , Kaehler, C. , Wesche, K. O. , Repsilber, D. , Branke, B. , Thiere, M. & et al. (2008). Unlocking pathology archives for microRNA-profiling. Anticancer Research, 28 (1A), 119-23.
Jacobsen, M. , Repsilber, D. , Gutschmidt, A. , Neher, A. , Feldmann, K. , Mollenkopf, H. J. , Ziegler, A. & Kaufmann, S. H. E. (2007). Candidate biomarkers for discrimination between infection and disease caused by Mycobacterium tuberculosis. Journal of Molecular Medicine, 85 (6), 613-21.
Redestig, H. , Repsilber, D. , Sohler, F. & Selbig, J. (2007). Integrating functional knowledge during sample clustering for microarray data using unsupervised decision trees. Biometrical Journal, 49 (2), 214-29.
Höfig, K. P. , Repsilber, D. , Branke, B. , Roehle, A. , Thorns, C. , Jarutat, T. , Lenfert, E. , Kaehler, C. & et al. (2007). New Application for the LightCycler® 480 System: qPCR-based microRNA-Profiling. Biochemica, 4, 7-9.
Baxter, C. J. , Redestig, H. , Schauer, N. , Repsilber, D. , Patil, K. R. , Nielsen, J. , Selbig, J. , Liu, J. & et al. (2007). The metabolic response of heterotrophic Arabidopsis cells to oxidative stress. Plant Physiology, 143 (1), 312-25.
Jacobsen, M. , Repsilber, D. , Gutschmidt, A. , Neher, A. , Feldmann, K. , Mollenkopf, H. J. , Kaufmann, S. H. E. & Ziegler, A. (2006). Deconfounding microarray analysis: independent measurements of cell type proportions used in a regression model to resolve tissue heterogeneity bias. Methods of Information in Medicine, 45 (5), 557-63.
Snipen, L. , Repsilber, D. , Nyquist, L. , Ziegler, A. , Aakra, A. & Aastveit, A. (2006). Detection of divergent genes in microbial aCGH experiments. BMC Bioinformatics, 7.
Repsilber, D. , Selbig, J. & Ziegler, A. (2006). Ensuring comparability for valid design and analysis of microarray gene expression experiments. Clinical Chemistry and Laboratory Medicine, 44 (6), A101-A102.
Lindroos, H. , Vinnere, O. , Mira, A. , Repsilber, D. , Näslund, K. & Andersson, S. G. E. (2006). Genome rearrangements, deletions, and amplifications in the natural population of Bartonella henselae. Journal of Bacteriology, 188 (21), 7426-39.
Schumacher, J. , König, I. R. , Plume, E. , Propping, P. , Warnke, A. , Manthey, M. , Duell, M. , Kleensang, A. & et al. (2006). Linkage analyses of chromosomal region 18p11-q12 in dyslexia. Journal of neural transmission, 113 (3), 417-23.
Steinfath, M. , Repsilber, D. , Hische, M. , Schauer, N. , Fernie, A. R. & Selbig, J. (2006). Metabolite profiles as a reflection of physiological status: a methodological validation. Journal of Integrative Bioinformatics, 3 (2), 28.
Lindroos, H. L. , Mira, A. , Repsilber, D. , Vinnere, O. , Näslund, K. , Dehio, M. , Dehio, C. & Andersson, S. G. E. (2005). Characterization of the genome composition of Bartonella koehlerae by microarray comparative genomic hybridization profiling. Journal of Bacteriology, 187 (17), 6155-65.
Repsilber, D. , Mira, A. , Lindroos, H. , Andersson, S. & Ziegler, A. (2005). Data rotation improves genomotyping efficiency. Biometrical Journal, 47 (4), 585-98.
Jacobsen, M. , Repsilber, D. , Gutschmidt, A. , Neher, A. , Feldmann, K. , Mollenkopf, H. J. , Ziegler, A. & Kaufmann, S. H. E. (2005). Ras-associated small GTPase 33A, a novel T cell factor, is down-regulated in patients with tuberculosis. Journal of Infectious Diseases, 192 (7), 1211-8.
Repsilber, D. , Fink, L. , Jacobsen, M. , Bläsing, O. & Ziegler, A. (2005). Sample selection for microarray gene expression studies. Methods of Information in Medicine, 44 (3), 461-7.
Repsilber, D. , Mansmann, U. , Brunner, E. & Ziegler, A. (2005). Tutorial on microarray gene expression experiments: An introduction. Methods of Information in Medicine, 44 (3), 392-9.
Repsilber, D. & Ziegler, A. (2005). Two-color microarray experiments. Technology and sources of variance.. Methods of Information in Medicine, 44 (3), 400-4.
König, I. R. , Repsilber, D. , Dahmen, G. , Kleensag, A. & Ziegler, A. (2004). Anwendungsorientierte Ausbildung im Teil "Medizinische Biometrie" des Querschnittsfachs Q1 durch Einbettung von Konzepten der Evidenzbasierten Medizin: Ein Erfahrungsbericht nach Umstellung auf die neue Ärztliche Approbationsordnung. Informatik, Biometrie und Epidemiologie in Medizin und Biologie, 35 (4), 220-228.
Repsilber, D. , Mira, A. , Lindroos, H. , Ziegler, A. & Andersson, S. (2004). Reducing false positive rates by rotating microarray-based genomotyping data. Biometrical Journal, 46, 57.
Repsilber, D. , Liljenström, H. & Andersson, S. G. E. (2002). Reverse engineering of regulatory networks: simulation studies on a genetic algorithm approach for ranking hypotheses.. Biosystems (Amsterdam. Print), 66 (1-2), 31-41.
Repsilber, D. & Bialozyt, F. R. (2002). Spatial genetic patterns systematically accelerate and bias drift-based genetic erosion. Ecological Modelling, 148 (3), 251-261.

Chapters in books

Repsilber, D. & Jacobsen, M. (2011). Biomarker discovery: Introduction to Statistical Learning and Integrative Bioinformatics Approaches. In: Daniel A. Casciano & Saura C. Sahu, Handbook of Systems Toxicology (pp. 361-386). USA: John Wiley & Sons.
Steinfath, M. , Repsilber, D. , Scholz, M. , Walther, D. & Selbig, J. (2007). Integrated data analysis for genome-wide research. In: Sacha Baginsky & Alisdair R. Fernie, Plant Systems Biology (pp. 309-29). Switzerland: Springer.

Conference papers

Edebol-Carlman, H. , Rode, J. , König, J. , Hutchinson, A. , Repsilber, D. , Kiselev, A. , Thunberg, P. , Lathrop Stern, L. & et al. (2019). Evaluating the effects of probiotic intake on brain activity during an emotional attention task and blood markers related to stress in healthy subjects. Paper presented at Mind, Mood & Microbes, 2nd International Conference on Microbiota-Gut-Brain Axis, Amsterdam, The Netherlands, 17-18 January, 2019.
Welander, E. , Åström, M. , Enonge Fotabe, L. , Kardeby, C. , Tina, E. , Elgbratt, K. , Pourlofti, A. , Abawi, A. & et al. (2018). Integrated analysis indicates reciprocal immune response dysregulations between bone marrow multipotent stromal cells and granulocytes at the mRNA but not at the protein level in myelofibrosis. Paper presented at Fortbildningsdagar i hematologi, Umeå, 3-5 Oktober, 2018.
Gorreja, F. , Rush, S. , Marques, T. M. , Repsilber, D. , Baker, A. , Wall, R. & Brummer, R. J. (2018). The impacts of probiotics and prebiotics on the gut mucosa and immune system through targeting inflammation and intestinal barrier function. Paper presented at Food and Inflammation - 2nd Conference of Food Science Sweden, Örebro, Sweden, 21 Nov., 2018.
Holster, S. , Repsilber, D. , Brummer, R. J. & König, J. (2017). Faecal microbiota transfer in irritable bowel syndrome – clinical outcomes of a randomised placebo- controlled trial. In: UEG Week 2017 Oral Presentations. Paper presented at United European Gastroenterology (UEG) Week, Barcelona, Spain, October 28 - November 1, 2017 (pp. A155-A156). Sage Publications.
Holster, S. , Brummer, R. J. , Repsilber, D. & König, J. (2017). Fecal Microbiota Transplantation in Irritable Bowel Syndrome and a Randomized Placebo-Controlled Trial. In: 2017 DDW Abstracts. Paper presented at Digestive Disease Week (DDW), Chicago, IL, USA, May 6-9, 2017 (pp. S101-S102). Saunders Elsevier.
Melzer, N. , Wittenburg, D. & Repsilber, D. (2012). Metabolites as new molecular traits and their role for genetic evaluation of traditional milk traits. In: Book of Abstracts of the 63rd Annual Meeting of the European Federation of Animal Science Bratislava, Slovakia, 27 - 31 August 2012. Paper presented at 63rd Annual Meeting of the European Federation oc Animal Science (EAAP 2012), Bratislava, Slovakia, 27-31 August, 2012. (pp. 88-88). Wageningen: Wageningen Academic Publishers.
Wittenburg, D. , Melzer, N. , Reinsch, N. & Repsilber, D. (2012). Milk metabolites and their genetic variability. In: Book of Abstracts of the 63rd Annual Meeting of the European Federation of Animal Science Bratislava, Slovakia, 27 - 31 August 2012. Paper presented at 63rd Annual Meeting of the European Federation of Animal Science (EAAP 2012), Bratislava, Slovakia, 27-31 August, 2012. (pp. 94-94). Wageningen: Wageningen Academic Publishers.
Schmidt, R. , Scheubert, L. , Lustrek, M. , Repsilber, D. & Fuellen, G. (2012). Pluripotent stem cells in mice. In: J. Mandas et al, Quality of Life through Quality of Information. Paper presented at 24th Medical Informatics in Europe Conference, MIE 2012, Pisa, Italy, 26-29 August 2012. (pp. 1159-61). Amsterdam, Netherlands: IOS Press.
Graunke, K. L. , Nürnberg, G. , Repsilber, D. , Schön, P. C. & Langbein, J. (2012). Temperamentbeschreibung am Beispiel des Rinds: ein multidimensionaler Ansatz mit Originaldaten. In: 13th Day of the Doctoral Student abstracts, 24 May 2012 Dummerstorf. Paper presented at 13th Day of the Doctoral Student FBN Dummerstorf, Dummerstorf, Germany, 24 May, 2012. (pp. 39-42). Dummerstorf: FBN.
Repsilber, D. (2011). Biosignatures from blood: disentagling patterns and cell types in heterogeneous tissue. Paper presented at 11th Swedish Annual Bioinformatics Workshop (SBW2011), Lund, Sweden, September 29-30, 2011..
Melzer, N. , Wittenburg, D. & Repsilber, D. (2011). Including metabolomic profiles to improve genetic value prediction: an integrated bioinformatics approach using weighted genome-wide marker information. In: Seyfert, H.-M., Viereck, G., 12th Day of the Doctoal Student abstracts; 19 May 2011, Dummerstorf. Paper presented at 12th Day of the Doctoal Student FBN Dummerstorf, Dummerstorf, Germany, 19 May 2011. (pp. 55-58). Dummerstorf, Germany: FBN.
Telaar, A. , Liland, K. H. , Repsilber, D. & Nürnberg, G. (2011). Pooled samples for classification: What about PPLS-DA?. In: Seyfert, H.-M., Viereck, G., 12th Day of the Doctoral Student FBN Dummerstorf abstracts; 19 May 2011, Dummerstorf. Paper presented at 12th Day of the Doctoral Student FBN Dummerstorf, Dummerstorf, Germany, 19 May, 2011. (pp. 52-54). Dummerstorf, Germany: FBN.
Scheubert, L. , Schmidt, R. , Lustrek, M. , Repsilber, D. & Fuellen, G. (2011). Searching for Biomarkers of Pluripotent Stem Cells. In: Blettner M; Klug S, Abstractand 56. GMDS Jahrestagung. Paper presented at 56. GMDS Jahrestagung, Mainz, Germany, 26-29 September, 2011. (pp. 55-56). Mainz, Germany: Kirchheim & Co.
Melzer, N. , Wittenburg, D. & Repsilber, D. (2010). Accounting for a complex genotype-phenotype map in milk phenotypes from genome-wide data. In: Statistical Computing 2010 Abstracts der 42. Arbeitstagung. Paper presented at Statistical Computing 2010, Reisensburg, Germany, 20-23 June, 2010..
Melzer, N. , Jakubowski, S. , Hartwig, S. , Kesting, U. , Wolf, S. , Nürnberg, G. , Reinsch, N. & Repsilber, D. (2010). Design, infrastructure and database structure for a study on predicting milk phenotypes from genome-wide SNP markers and metabolite profiles. In: Proceedings of the 9th World Congress on Genetics Applied to Livestock Production. Paper presented at 9th World Congress on Genetics Applied to Livestock Production, Leipzig, Germany, August 1-6, 2010. (pp. 427-431). German Society for Animal Science.
Telaar, A. , Repsilber, D. & Nürnberg, G. (2010). Finding biomarkers in pooled samples. In: Seyfert, H.-M., Viereck, G., 11th Day of the Doctoral Student FBN Dummerstorf abstracts; 19 May 2010, Dummerstorf. Paper presented at 11th Day of the Doctoral Student FBN Dummerstorf,19 May, 2010. (pp. 11-14). Dummerstorf, Germany: FBN.
Andorf, S. , Selbig, J. , Altmann, T. , Witucka-Wall, H. & Repsilber, D. (2010). Heterosis in Arabidopsis thaliana: A metabolite network structure approach. In: 11th Day of the Doktoral Student abstract; 19 May 2010, Dummerstorf. Paper presented at 11th Day of the Doctoral Student FBN Dummerstorf, Dummerstorf, Germany, 19 May, 2010. (pp. 7-10). Dummerstorf, Germany: FBN.
Andorf, S. , Selbig, J. , Meyer, R. , Altmann, T. & Repsilber, D. (2010). Integrating a molecular network hypothesis and QTL results for heterosis in Arabidopsis thaliana. In: Statistical Computings 2010 Abstracts der 42. Arbeitstagung. Paper presented at Statistical Computings 2010, Reisensburg, Germany, 20-23 June, 2010..
Melzer, N. , Wittenburg, D. & Repsilber, D. (2010). Simulating SNP data: influence of simulation design on the extent of linkage disequilibrium. In: Seyfert, H.-M., Viereck, G., 11th Day of the Doctoral Student abstracts; 19 May 2010, Dummerstorf. Paper presented at 11th Day of the Doctoral Student (FBN Dummerstorf),Dummerstorf, Germany, 19 May, 2010. (pp. 19-22). Dummerstorf, Germany: FBN.
Andorf, S. & Repsilber, D. (2009). Molecular network structures in heterozygotes: A systems biological approach to heterosis. In: R. Foraita, T. Gerds, L. A. Hothorn, M. Kieser, O. Kuß, U. Munzel, R. Vonk, A. Ziegler, Neue Methoden der Biometrie 55. Biometrisches Kolloquium. Paper presented at 55. Biometrisches Kolloquium.
Andorf, S. , Altmann, T. , Witucka-Wall, H. , Selbig, J. & Repsilber, D. (2009). Molecular network structures in heterozygotes: A systems-biology approach to heterosis. Paper presented at International Conference on Heterosis in Plants: Genetic and molecular causes and optimal exploitation in breeding, Hohenheim, Stuttgart, Germany, September 7-9, 2009..
Repsilber, D. , Kern, S. , Selbig, J. & Jacobsen, M. (2008). Analysing and interpreting gene expression in heterogeneous tissues. In: Hothorn, L A; Mansmann, U; Tutz, G; Burger, U and Mejza, S, Statistics and Life Sciences Perspectives and Challenges. Paper presented at Lifestat2008, Munich, Germany, 10-13 March, 2008. (pp. 126-.
Repsilber, D. (2008). From spots to candidates: image analysis, data processing, candidate selection. In: Hämostaseologie. Paper presented at Gestellschaft für Thrombose- und Hämostasforscung (GTH) 2008, Weisbaden, Germany, 20-23 February, 2008. (pp. A5 WS-04-02-.
Ziegler, A. & Repsilber, D. (2004). Data rotation for efficient comparative genomics. Paper presented at International Conference on Analysis of Genomic Data, Harvard Medical School, Boston, USA, May 10-11, 2004..
Repsilber, D. & Kim, J. T. (2003). Developing and Testing methods for microarray data analysis Using an Artificial life framework. In: Banzhaf, W, Christaller, T, Dittrich, P, Kim, JT, Ziegler, J, Advances in artificial life 7th European Conference, ECAL 2003 Dortmund, Germany, September 14-17, 2003 Proceedings. Paper presented at 7th European Conference on Artifical Life, Dortmund, Germany,14-17 September, 2003. (pp. 686-695). Berlin, Germany:
Repsilber, D. , Kim, J. T. , Liljenström, H. & Martinetz, T. (2002). Using coarse-grained, discrete systems for data-driven inference of regulatory gene networks: Perspectives and limitations for reverse engineering. In: Polani, D., Kim, J. T., Martinetz, T., Proceedings of the Fifth German Workshop on Artificial Life (GWAL2002). Paper presented at Fifth German Workshop on Artificial Life 2002, (GWAL 5), Lübeck, Germany, 18-20 Mars, 2002. (pp. 67-76).

Manuscripts

Göthlin Eremo, A. , Tina, E. , Kruse, R. , Fransén, K. , Wegman, P. , Repsilber, D. , Montgomery, S. , Sollie, T. & et al. Gene expression profiles in breast tumors from tamoxifen treated patients with and without distant recurrence.
Günaltay, S. , Repsilber, D. , Helenius, G. , Nyhlin, N. , Bohr, J. & Hultgren-Hörnquist, E. Oligoclonal T cell receptor repertoire in colonic biopsies of microscopic and ulcerative colitis patients.
Östlund-Lagerström, L. , Kihlgren, A. , Repsilber, D. , Björkstén, B. , Brummer, R. J. & Schoultz, I. Probiotic administration among free-living older adults : a double blinded, randomised, placebo-controlled clinical trial.

Reports

Hofner, B. , Vaas, L. , Lawo, J. , Müller, T. , Sikorski, J. & Repsilber, D. (2012). Biologists meet Statisticians: A Workshop for young scientists to foster interdisciplinary team work. Cornell University Library (Technical Report arXiv.org ).