TüBMI 2024
Schedule: 21 June 2024, 9 am - 5 pm
Venue: Alte Aula
We are delighted to have our 13th TüBMI (former TüBiT) in the Alte Aula. 21 PhD students will present their research with talks and posters, we are looking forward to have fruitful discussions, and to bring together the Bio- and Medical Informatics research community in Tübingen.
We are very pleased that our alumna Dr. Charlotta Früchtenicht (Roche) will be our guest to give a keynote talk.
Session I
Chair: Manfred Claassen
9:00 am: Welcome
9:10 am: BMI Lab Flash Talks
Brief introduction of TüBMI research groups by their group leaders
9:40 am: Dominic Boceck (Ossowski Group)
Identification of causal variants in rare disease patients using machine learning methods
10:05 am: Coffee Break
Session II
Chair: Hadeer Elhabashy
10:35 am: Science Speed Dating I
11:15 am: Mikel Martinez-Goikoetxea (Lupas Group)
Coiled-Coil Modeling: Challenges and Opportunities
11:40 am: Keynote: Dr. Charlotta Früchtenicht (Principal Data Scientist @ Roche)
Personalized Medicine and Beyond: A Data Scientist's Story from Academia to Big Pharma
12:25 pm: Lunch Break & Poster Session
The list of posters can be found at the bottom of this page.
Session III
Chair: Maik Wolfram-Schauerte
01:40 pm: Jaruwatana Lotharukpong (Drost Group)
Exploring the origin of complex life using evolutionary transcriptomics
02:05 pm: Mathias Witte Paz (Nieselt Group)
TSS-Captur: A User-Friendly Characterization Pipeline for Transcribed Prokaryotic RNA transcripts
02:30 pm: Science Speed Dating II
3:10 pm: Coffee Break
Session IV
Chair: Ralf Eggeling
03:40 pm: Bita Pourmohsenin (Ziemert Group)
Methods to unveil secondary metabolite evolution in Bacteria
04:05 pm: Nurhan Arslan (Pfeifer Group)
HIV Multi-drug Class Resistance Prediction
04:30 pm: Poster Prize & Closing Remarks
04:40 pm: PhD Round Table
05:00 pm: End of TüBMI
Poster
Pipeline for Profiling Human Gut Flagellome in Health and Disease
Anna Bogdanova
A complementarity-driven approach to de novo binder design
Mohammad ElGamacy
Ancestral reconstruction of CRISPR arrays and probabilistic models for their evolutionary dynamics reveal selective effects along their length
Axel Fehrenbach
False Discovery Rate Estimation in spectral deconvolution in Top-down Proteomics
Ayesha Feroz
AI model predicts Anti-PD1 response in melanoma using multiomic biomarkers
Axel Gschwind
Damage-aware DNA correction improves the genome reconstruction of ancient datasets
Meret Häusler
Efficiency of CRISPR-Cas in Resensitizing Plasmid-Encoded Antimicrobial Resistance
Johannes Kippnich
Developing a tool for phylogeny-based function prediction, the case of methyltransferases
Aleksandra Korenskaia
Fast Approximation of Halogen-Protein Interactions Using Neural Networks
Finn Mier
MHCquant2 enables sensitive and scalable immunopeptidome processing by streamlining peptide property predictors
Jonas Scheid
A CRISPR library identifies metabolic mutations in clinical E. coli isolates that influence growth and antibiotic action
Sevvalli Thavapalan
A web based toolkit for diverse protein design tasks
Tobias Woertwein
Exploiting k-mer Profiles for Taxonomic Classification
Susanne Zabel
Mapping Nanopore Squiggles to Graphs Enables Accurate Taxonomic Assignment and Captures Evolutionary Relationships Between Organisms
Wenhuan Zeng