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Nicolas Alcaraz
Danish Cancer Society, University of Copenhagen, University of Southern Denmark, Max Planck Institute for Informatics, National Institute of Genomic Medicine, Universidad Nacional Autónoma de México
Research areas: Biochemistry, Genetics and Molecular Biology · Molecular Biology · Genomics and Chromatin Dynamics · Bioinformatics and Genomic Networks · Gene Regulatory Network Analysis
0000-0003-0839-8423
Employment
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Danish Cancer Society Chief Consultant2025 - Present
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University of Copenhagen Research Consultant (Bioinformatics Data Specialist)2021 - Present
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Instituto Nacional de Medicina Genómica Deputy Director of Bioinformatics2020 - 2021
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University of Copenhagen Postdoctoral Researcher2017 - 2020
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University of Southern Denmark Research Assistant2016 - 2016
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Max-Planck-Institut für Informatik Student Research Assistant2011 - 2013
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Universidad Nacional Autonoma de Mexico Technical Academic2006 - 2009
Education
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University of Southern Denmark Ph.D in Computational Biology2013 - 2016
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Saarland University / Max Planck for Informatics M.Sc. in Computer Science2009 - 2012
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Universidad Nacional Autónoma de México Bachelor's in Computer Science2002 - 2008
Projects & Funding
Projects & funding information is unavailable.
Publications (13)
- Orthologous proteins of experimental de- and remyelination are differentially regulated in the CSF proteome of multiple sclerosis subtypes. Save
- CTCF-KDM4A complex correlates with histone modifications that negatively regulate CHD5 gene expression in cancer cell lines. Save
- De novo pathway-based biomarker identification. Save
- Elucidation of Altered Pathways in Tumor-Initiating Cells of Triple-Negative Breast Cancer: A Useful Cell Model System for Drug Screening. Save
- On the performance of de novo pathway enrichment. Save
- Change in autoantibody and cytokine responses during the evolution of neuromyelitis optica in patients with systemic lupus erythematosus: A preliminary study. Save
- KeyPathwayMinerWeb: online multi-omics network enrichment. Save
- A Simulated Annealing Algorithm for Maximum Common Edge Subgraph Detection in Biological Networks Save
- Robust de novo pathway enrichment with KeyPathwayMiner 5. Save
- Elucidation of epithelial-mesenchymal transition-related pathways in a triple-negative breast cancer cell line model by multi-omics interactome analysis. Save
- KeyPathwayMiner 4.0: condition-specific pathway analysis by combining multiple omics studies and networks with Cytoscape. Save
- Efficient key pathway mining: combining networks and OMICS data. Save
- KeyPathwayMiner: Detecting Case-Specific Biological Pathways Using Expression Data Save