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General research interests |
My main research interest is the development and application of statistical learning, pathway and network analysis algorithms on biological data from high-throughput experiments
using combinatorial optimisation. Currently, I am working on the integrative machine learning analysis of omics data from disease-related case-control studies,
focussing on biomarker development for the neurodegenerative disorders Alzheimer's and Parkinson's (e.g. as part of the National Centre of Excellence in Research on Parkinson's Disease, NCER-PD).
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In recent years, I have built various web-servers for online analysis of biological data, including:
- ArrayMining.net, a web-application for microarray data analysis,
- EnrichNet, a web-service for network-based gene and protein set enrichment analysis,
- TopoGSA, a web-based software for comparative network topological analysis of genes/proteins,
- PathExpand, a web-application to extend cellular pathway definitions using molecular networks,
- VRMLGen, an R-package and web-application for 3D visualization of biological data,
- PathVar, a web-based software for pathway-based microarray sample classification and clustering,
- RepExplore, a web-service for the analysis of proteomics and metabolomics data with technical replicates.
See also our group's Bioinformatics Software Portal for more details and further software tools.
Applications from prospective PostDocs in bioinformatics are welcome.
Students interested in pursuing a master's degree at the interface of bioinformatics and experimental biology may want to consider our programme Master in Integrated Systems Biology.
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Publications
(All articles in BibTeX format)
- E. Glaab,
Using prior knowledge from cellular pathways and molecular networks for diagnostic specimen classification, Briefings in Bioinformatics (2016), Vol. 17, No. 3, pp. 440 (full-text online) [BibTeX]
- J. Fitzgerald, A. Zimprich, D. A. Carvajal-Berrio, K. M. Schindler, B. Maurer, C. Schulte, A. Hauser, M. Kübler, R. Lewin, D. R. Bobbili, L. M. Schwarz, E. Vartholomaiou, K. Brockmann, R. Wüst, J. Madlung, A. Nordheim, O. Riess, L. M. Martins, E. Glaab, P. May, K. Schenke-Layland, D. Picard, M. Sharma, T. Gasser, R. Krüger, Metformin reverses TRAP1 mutation-associated alterations in mitochondrial function in Parkinson's disease, Brain (2017), Vol. 140, No. 9, pp. 2444 (full-text online) [BibTeX]
- J. Nyffeler, P. Chovancova, X. Dolde, A. Holzer, V. Purvanov, I. Kindinger, A. Kerins, D. Higton, S. Silvester, B. M. A. van Vugt-Lussenburg, E. Glaab, B. van der Burg, R. Maclennan, D. F. Legler, M. Leist, A structure-activity relationship linking non-planar PCBs to functional deficits of neural crest cells: new roles for connexins, Archives of Toxicology (2017), in press (doi: 10.1007/s00204-017-2125-4, full-text online) [BibTeX]
- E. Glaab,
Computational systems biology approaches for Parkinson's disease, Cell and Tissue Research (Special issue "Parkinson's disease: Molecules, cells, and circuitries", T. Gasser, H. Braak, K. Del Tredici, Eds., 2017), in press (doi: 10.1007/s00441-017-2734-5, full-text online) [BibTeX]
- A. Ashrafi, P. Garcia, H. Kollmus, K. Schughart, A. del Sol, M. Buttini, E. Glaab, Absence of regulator of G-protein signaling 4 does not protect against dopamine neuron dysfunction and injury in the mouse 6-hydroxydopamine lesion model of Parkinson's disease, Neurobiology of Aging (2017), Vol. 58, pp. 30 (full-text online) [BibTeX]
- S. Köglsberger, M. L. Cordero-Maldonado, P. Antony, J. I. Forster, P. Garcia, M. Buttini, A. Crawford, E. Glaab, Gender-specific expression of ubiquitin-specific peptidase 9 modulates tau expression and phosphorylation: possible implications for tauopathies, Molecular Neurobiology (2017), Vol 54, No. 10, pp. 7979 (full-text online) [BibTeX]
- C. Singh, E. Glaab, C. Linster, Molecular Identification of D-Ribulokinase in Budding Yeast and Mammals, Journal of Biological Chemistry (2017), Vol 292, No. 3, pp. 1005 (full-text online) [BibTeX]
- S. Kleiderman, S. Gutbier, K. U. Tufekci, F. Ortega, J. V. Sá, A. P. Teixeira, C. Brito, E. Glaab, B. Berninger, P. M. Alves, M. Leist, Conversion of non-proliferating astrocytes into neurogenic neural stem cells: control by FGF2 and IFN-gamma, Stem Cells (2016), Vol. 34, No. 12, pp. 2861 (full-text online) [BibTeX]
- P. Shah, J. Fritz, E. Glaab, M. Desai, K. Greenhalgh, A. Frachet, M. Niegowska, M. Estes, C. Jäger, F. Zenhausen, P. Wilmes,
A microfluidics-based in vitro model of the gastrointestinal human-microbe interface, Nature Communications (2016), Vol. 7, No. 11535 (full-text online) [BibTeX]
- G. I. Allen, N. Amoroso, C. Anghel, V. Balagurusamy, C. J. Bare, D. Beaton, R. Bellotti, D. A. Bennett, K. Boehme, P. C. Boutros, L. Caberlotto, C. Caloian, F. Campbell, E. C. Neto, Y. Chang, B. Chen, C. Chen, T. Chien, T. Clark, S. Das, C. Davatzikos, J. Deng, D. Dillenberger, R. J. B. Dobson, Q. Dong, J. Doshi, D. Duma, R. Errico, G. Erus, E. Everett, D. W. Fardo, S. H. Friend, H. Fröhlich, J. Gan, P. St. George-Hyslop, S. S. Ghosh, E. Glaab, R. C. Green, Y. Guan, M. Hong, C. Huang, J. Hwang, J. Ibrahim, P. Inglese, Q. Jiang, Y. Katsumata, J. S. K. Kauwe, A. Klein, D. Kong, R. Krause, E. Lalonde, M. Lauria, E. Lee, X. Lin, Z. Liu, J. Livingstone, B. A. Logsdon, S. Lovestone, A. Lyappan, M. Ma, A. Malhotra, L. M. Mangravite, T. J. Maxwel, E. Merrill, J. Nagorski, A. Namasivayam, M. Narayan, M. Naz, S. J. Newhouse, T. C. Norman, R. N. Nurtdinov, Y. Oyang, Y. Pawitan, S. Peng, M. A. Peters, S. R. Piccolo, P. Praveen, C. Priami, V. Y. Sabelnykova, P. Senger, X. Shen, A. Simmons, A. Sotiras, G. Stolovitzky, S. Tangaro, A. Tateo, Y. Tung, N. J. Tustison, E. Varol, G. Vradenburg, M. W. Weiner, G. Xiao, L. Xie, Y. Xie, J. Xu, H. Yang, X. Zhan, Y. Zhou, F. Zhu, H. Zhu, S. Zhu, Alzheimer's Disease Neuroimaging Initiative,
Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease, Alzheimer's and Dementia (2016), Vol. 12, No. 6, pp. 645 (full-text online) [BibTeX]
- C. Jaeger*, E. Glaab*, A. Michelucci*, T. M. Binz, S. Koeglsberger, P. Garcia, J. P. Trezzi, J. Ghelfi, R. Balling, M. Buttini, The Mouse Brain Metabolome: Region-Specific Signatures and Response to Excitotoxic Neuronal Injury, American Journal of Pathology (2015), Vol. 185, No. 6, pp. 1699 (*these authors contributed equally to this work, online first) [BibTeX]
- S. Kleiderman, J. Sá, A. Teixeira, C. Brito, S. Gutbier, L. Evje, M. Hadera, E. Glaab, M. Henry, S. Agapios, P. Alves, U. Sonnewald, M. Leist, Functional and phenotypic differences of pure populations of stem cell-derived astrocytes and neuronal precursor cells, Glia (2016), Vol. 64, No. 5, pp. 695 (full-text online) [BibTeX]
- E. Glaab,
Building a virtual ligand screening pipeline using free software: a survey, Briefings in Bioinformatics (2016), Vol. 17, No. 2, pp. 352(full-text online) [BibTeX]
- N. Casadei, P. Sood, T. Ulrich, N. Kieper, S. Helling, C. May, E. Glaab, J. Chen, K. Marcus, D. Rapaport, T. Ott, O. Riess, R. Krueger, J. Fitzgerald, Mitochondrial Defects and Neurodegeneration in Mice Overexpressing Wild Type or G399S Mutant HtrA2, Human Molecular Genetics (2016), Vol. 25, No. 3, pp. 459 (full-text online) [BibTeX]
- E. Glaab, R. Schneider,
RepExplore: Addressing technical replicate variance in proteomics and metabolomics data analysis, Bioinformatics (2015), Vol. 31, No. 13, pp. 2235 (full-text online) [BibTeX]
- N. Vlassis, E. Glaab, GenePEN: analysis of network activity alterations in complex diseases via the pairwise elastic net, Statistical Applications in Genetics and Molecular Biology (2015), Vol. 14, No. 2, pp. 221 (full-text online) [BibTeX]
- L. Grandbarbe, S. Gabel, E. Koncina, G. Dorban, T. Heurtaux, C. Birck, E. Glaab, A. Michelucci, P. Heuschling, Inflammation promotes a conversion of astrocytes into neural progenitor cells via NF-kB activation, Molecular Neurobiology (2016), Vol. 53, No. 8, pp. 5041 (full-text online) [BibTeX]
- E. Glaab, R. Schneider,
Comparative pathway and network analysis of brain transcriptome changes during adult aging and in Parkinson's disease, Neurobiology of Disease (2015), Vol. 74, pp. 1 (full-text online) [BibTeX]
- C. Birck, E. Koncina, T. Heurtaux, E. Glaab, A. Michelucci, P. Heuschling, L. Grandbarbe, Transcriptomic analyses of primary astrocytes under TNF-alpha treatment, Genomics Data (2015), Vol. 7, pp. 7 (full-text online) [BibTeX]
- M. Maes, G. Nowak, J. R Caso, J. C. Leza, C. Song, M. Kubera, H. Klein, P. Galecki, C. Noto, E. Glaab, R. Balling, M. Berk,
Toward Omics-Based, Systems Biomedicine, and Path and Drug Discovery Methodologies for Depression-Inflammation Research, Molecular Neurobiology (2016), Vol. 53, No. 5, pp. 2927 (full-text online) [BibTeX]
- K. Righetti, J. L. Vu, S. Pelletier, B. L. Vu, E. Glaab, D. Lalanne, A. Pasha, R. V. Patel, N. Provart, J. Verdier, O. Leprince,
Inference of longevity-related genes from a robust co-expression network of seed maturation identifies new regulators linking seed storability to biotic defense-related pathways, The Plant Cell (2015), Vol. 27, No. 10, pp. 2692-2708 (full-text online) [BibTeX]
- K. A. Fujita, M. Ostaszewski, Y. Matsuoka, S. Ghosh, E. Glaab, C. Trefois, I. Crespo, T. M. Perumal, W. Jurkowski, P. M. A. Antony, N. Diederich, M. Buttini, A. Kodama, V. P. Satagopam, S. Eifes, A. del Sol, R. Schneider, H. Kitano, R. Balling
Integrating Pathways of Parkinson's Disease in a Molecular Interaction Map, Molecular Neurobiology (2014), Vol. 49, No. 1, pp. 88 (full-text online) [BibTeX]
- S. Ballereau, E. Glaab, A. Kolodkin, A. Chaiboonchoe, M. Biryukov, N. Vlassis, H. Ahmed, J. Pellet, N. Baliga, L. Hood, R. Schneider, R. Balling, C. Auffray,
Functional genomics and bioinformatics for systems biology, Springer book in Systems Biology, Vol. 1: Systems Biology: Integrative Biology and Simulation Tools (2013), Spinger [BibTeX]
- A. Chaiboonchoe, W. Jurkowski, J. Pellet, E. Glaab, A. Kolodkin, A. Raussel, A. Le Béchec, L. Meyniel, S. Ballereau, I. Crespo, H. Ahmed, V. Volpert, V. Lotteau, N. Baliga, L. Hood, A. del Sol; R. Balling, C. Auffray,
Network analysis for systems biology, Springer book in Systems Biology, Vol. 1: Systems Biology: Integrative Biology and Simulation Tools (2013), Spinger [BibTeX]
- E. Muller, E. Glaab, P. May, N. Vlassis, P. Wilmes,
Condensing the omics fog of microbial communities, Trends in Microbiology (2013), Vol. 21, No. 7, pp. 325 (full-text online) [BibTeX]
- E. Glaab, A. Baudot, N. Krasnogor, R. Schneider, A. Valencia,
EnrichNet: network-based gene set enrichment analysis, Bioinformatics (Proceedings of the European Conference on Computational Biology, ECCB 2012), Vol. 28, No. 18, pp. i451 (acceptance rate: 14%, full-text online) [BibTeX]
- E. Glaab, R. Schneider,
PathVar: analysis of gene and protein expression variance in cellular pathways using microarray data, Bioinformatics (2012), Vol. 28, No. 3, pp. 446 (see full text online) [BibTeX]
- E. Glaab, J. Bacardit, J. M. Garibaldi, N. Krasnogor,
Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data, PLoS ONE (2012), Vol. 7, No. 7, e39932 (see online full text) [BibTeX]
- E. Glaab, Analysing functional genomics data using novel ensemble, consensus and data fusion techniques, PhD thesis, School of Computer Science, University of Nottingham, 2011 [BibTeX]
- G. W. Bassel, E. Glaab, J. Marquez, M. J. Holdsworth, J. Bacardit,
Functional Network Construction in Arabidopsis Using Rule-Based Machine Learning on Large-Scale Data Sets, Plant Cell (2011), Vol. 23, No. 9, pp. 3101 (see online full text) [BibTeX]
- G. W. Bassel, H. Lan, E. Glaab, D. J. Gibbs, T. Gerjets, N. Krasnogor, A. J. Bonner, M. J. Holdsworth, N. J. Provart,
A genome-wide network model capturing seed germination reveals co-ordinated regulation of plant cellular phase transitions, Proc. Natl. Acad. Sci. USA (2011), Vol. 108, No. 23, pp. 9709 (see online full text, the SeedNet webpage and articles on Science Daily and Futurity) [BibTeX]
- D. S. Gardner, P. Rhodes, A. Karamitri, E. Glaab, S. M. Rhind, A low protein diet during early gestation in sheep detrimentally impacts hepatic glucose metabolism in the adult offspring, Proceedings of the Nutrition Society 2011, Vol. 70, E196 full-text online [BibTeX]
- E. Glaab, A. Baudot, N. Krasnogor, A. Valencia, Extending pathways and processes using molecular interaction networks to analyse cancer genome data, BMC Bioinformatics (RECOMB Computational Cancer Biology 2010, Oslo, Norway), Vol. 11, No. 1, 597 (received designation: highly accessed, full-text online) [BibTeX]
- E. Glaab, A. Baudot, N. Krasnogor, A. Valencia, TopoGSA: network topological gene set analysis, Bioinformatics (2010), Vol. 26, No. 9, pp. 1271. full-text online [BibTeX]
- E. Glaab, J. M. Garibaldi, N. Krasnogor, ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization, BMC Bioinformatics (2009), Vol. 10, No. 1., 358. full-text online [BibTeX]
- E. Glaab, J. M. Garibaldi, N. Krasnogor, Learning pathway-based decision rules to classify microarray cancer samples, German Conference on Bioinformatics 2010, Lecture Notes in Informatics (LNI), Vol. 173, 123-134. full-text online [BibTeX]
- E. Glaab, J. M. Garibaldi and N. Krasnogor, VRMLGen: An R package for 3D Data Visualization on the Web, Journal of Statistical Software (2010), Vol. 36, No. 8, 1-18 full-text online [BibTeX]
- H. O. Habashy, D. G. Powe, E. Glaab, N. Krasnogor, J. M. Garibaldi, E. A. Rakha, G. Ball, A. R Green, C. Caldas, I. O. Ellis, RERG (Ras-related and oestrogen-regulated growth-inhibitor) expression in breast cancer: A marker of ER-positive luminal-like subtype, Breast Cancer Research and Treatment (2011), Vol. 128, No. 2, 315-326 full-text online [BibTeX]
- E. Glaab, Methods for Comparative Molecular Field Analysis in the Biochemical Algorithms Library (BALL), Master thesis, Saarland University, 2007 [BibTeX]
- E. Glaab, On the predictability of CpG methylation in human tissue at single basepair resolution, Bachelor thesis, Saarland University, 2006 [BibTeX]
Enrico Glaab
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