Mathias Witte Paz

PhD Student
Integrative Transcriptomics
Interfaculty Institute for Bioinformatics and Medical Informatics (IBMI)
Sand 14
72076 Tübingen
+49 (0)7071 – 29-70447
mathias-alexander.witte-paz[at]uni-tuebingen.de

Research topics

Analysis of bacterial communities
- Homology analysis for the siderophore intake potential in Corynebacteria
Development of visual analytics tools for biological data:
- Evidente: A SNP-based phylogenetic tree Visual Analytics Tool (https://tuevis.cs.uni-tuebingen.de/evidente/)
- Part of the TueVis Project: development of tools for the analysis of omics data (https://tuevis.cs.uni-tuebingen.de/)
Architecture of the prokaryotic transcriptome
- Development of a web-platform for the identification of transcription start sites (TSSs) using TSSpredator-Web (https://tuevis.cs.uni-tuebingen.de/tsspredator-web/)
- TSS-captur (https://tuevis.cs.uni-tuebingen.de/tss-captur/): Characterization of unannotated regions of prokaryotes based on transcriptomic data

Short Biography

since 2021, Research Assistant at the University of Tübingen, funded by the Cluster of Excellence – Controlling Microbes to Fight Infections
2018 - 2021, MSc. Bioinformatics, University of Tübingen
2015 - 2018 BSc. Medical Informatics, University of Tübingen

Teaching Assistance

Winter 24/25	Expression Bioinformatics
Summer 24	Team Project “Predicting, Comparing and Visualizing Transcription Start Sites”
Summer 23	Grundlagen der Bioinformatik & Practical Course: Bioinformatics Methods and Visual Analytics of Biological Data
Winter 22/23	Proseminar: Grundlagen der Bioinformatik
Summer 22	Grundlagen der Bioinformatik
Winter 21/22	Expression Bioinformatics
Winter 20/21	Expression Bioinformatics
Winter 19/20	Visualization of Biological Data (Group Big Data Visual Analytics)
Summer 19	Grundlagen der Bioinformatik

Supervision & Students

2024, Bachelor Thesis, Tom Wolf, Improving the characterization of the 5’ and 3’ regions in TSS-Captur
2024, Bachelor Thesis, Thomas Vogel, Die Überführung der Pipeline TSS-Captur als Webanwendung zur erleichterten Charakterisierung
2023, Master Thesis, Meret Häusler, Improving the reconstruction of very ancient mitochondrial genomes from non-human organisms
2023, Research Project, Meret Häusler, Using Correlation Networks for Metagenomic Community Analyses
2023, Master Thesis, Dolores Varga, Applying Shneiderman’s mantra to Evidente: Enhance zooming and aggregation for large taxonomic data
2023, Bachelor Thesis, Eileen Kränzle, Improving CLASSICO
2023, Bachelor Thesis, Valerie Bouillon, Ein interaktives Webinterface für TSSpredator
2023, Bachelor Thesis, Moritz Christ, Verbesserung von Genomannotationen mit Hilfe von Transkriptom- und Proteomdaten
2022, Master Thesis, Camill Kaipf, Computational prediction of the 3' end of bacterial transcripts

Publications

see here for Google scholar profile