Welcome to MU OmicsLab
Computational Toxicology and Bioinformatics Laboratory
MU OmicsLab develops computational toxicology and omics workflows for turning experimental, molecular, and image-derived data into interpretable biomedical hypotheses.
The lab bridges experimental toxicology with bioinformatics, AI-assisted analysis, and reproducible workflows—from cell-based models to omics interpretation and computational toxicology.
- MU OmicsLab works within the Toxicology Section of the Department of Pharmacology, Pharmacotherapy and Toxicology, Faculty of Pharmacy, Medical University – Sofia.
- MU OmicsLab is currently a small research unit and is actively building capacity through diploma and PhD mentorship, collaborations, and shared infrastructure.
- Want to collaborate or join? Please contact us.
What we do
- Computational toxicology: mechanism-focused interpretation of toxicological effects using multi-omics and structured data.
- Bioinformatics: RNA-seq and transcriptomics; pathway and signature analysis; integrative interpretation.
- RNA therapeutics & delivery (computational support): design logic for RNA constructs and evaluation strategies aligned to cellular pathways.
- Image analysis: quantitative microscopy workflows and ML-assisted segmentation/phenotyping.
- AI for biomedical decision support: safe, transparent prototypes for summarization and contextual interpretation (research use only).
Explore
Keywords: computational toxicology · bioinformatics · transcriptomics · image analysis · reproducible research · AI/ML
Building multi-omics capacity through Erasmus+ training at the University of Vienna
Assoc. Prof. Yordan Yordanov completed hands-on Erasmus+ training in untargeted mass-spectrometry proteomics at the Gerner Lab, University of Vienna.
From an MSc research question to a reproducible open-science workflow
A new Pharmacia paper connects SH-SY5Y neurite morphology, PhaseContrastNeuriteAnalyzer, open code and a FAIR-oriented microscopy dataset.
AI in biomedical data analysis at the INGENIUM Blended Intensive Programme
Assoc. Prof. Yordan Yordanov lectured on AI in biomedical data analysis during the INGENIUM Blended Intensive Programme at Medical University - Sofia.
How safe are the medicines we take?
Assoc. Prof. Yordan Yordanov was a guest on the Bulgarian science podcast ‘You and Science’ for a discussion on medicines, benefit-risk balance and preclinical safety.
Contributing to the OpenTox 2026 internship programme
MU OmicsLab contributed supervision topics to the OpenTox 2026 Summer/Autumn Internship Programme in AI, toxicology and biomedical data science.
MU OmicsLab at the first CardioPharmaGENET Annual Meeting in Darmstadt
Assoc. Prof. Yordan Yordanov represented Medical University - Sofia at the first CardioPharmaGENET Annual Meeting in Darmstadt.
PhaseContrastNeuriteAnalyzer and open microscopy dataset released
PhaseContrastNeuriteAnalyzer was released together with a 5.8-GB open microscopy dataset supporting reproducible analysis of SH-SY5Y neurite morphology.
AOPxGeneNet beta connects transcriptomic networks with adverse outcome pathways
A beta version of AOPxGeneNet was released to help connect transcriptomic network analysis with the adverse outcome pathway framework.
Student-led MSc project recognized for research on SH-SY5Y differentiation
A student-led MSc thesis on rosmarinic and retinoic acid effects in SH-SY5Y cells was recognized and later became part of a broader open-science research trajectory.
Integrating co-expression networks with adverse outcome pathways in Parkinson's disease
Assoc. Prof. Yordan Yordanov presented OmicsLab work on WGCNA, AOPs and Parkinson’s disease at the OpenTox Virtual Conference 2025.