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DaiSyBio

@daisybio.de

Data Science in Systems Biology: We are a research group at the TUM School of Life Sciences. Cutting-edge expertise is united here in order to unlock the mechanisms of various systems in the human body.

65 Posts48 Follower34 Folgt
Markus List@itisalist.bsky.social · 3w ago

The last MOPITAS autumn school in Garching was a lot of fun, great participants and great instructors. I'm really looking forward to join this second installment in Copenhagen. Don't miss the deadline and sign up if your interested in taking your spatial data analysis to the next level. Vi ses i DK!

Stegle Lab@steglelab.bsky.social · 3w ago

📅 Register by August 16th: event.sdu.dk/mopitas2026/... Looking forward to welcoming you to Copenhagen, together with Richard Röttger, Jakub Sedzinski, @itisalist.bsky.social, @oliverstegle.bsky.social and all the rest of the MOPITAS team.

DaiSyBio@daisybio.de · 2mo ago

🚀 Great news from DaiSyBio: our new manuscript, “Inferring and Evaluating Network Medicine-Based Disease Modules with Nextflow”, has been published in Bioinformatics (Oxford) as part of the ISMB 2026 proceedings.

DaiSyBio@daisybio.de · 3mo ago

Yesterday, we took part in the Weihenstephaner Berglauf 2025 and enjoyed much better weather than at the last Campus Lauf. 🏃‍♂️‍➡️🏃‍♀️‍➡️

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DaiSyBio@daisybio.de · 3mo ago

Save the data of the upcoming MOPITAS Autumn School 2026 ! 📅 12th to 14th of October 2026 📍 The National Institute of Public Health, Copenhagen, Denmark

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DaiSyBio@daisybio.de · 3mo ago

📅 Join the upcoming Munich Data Science Institute (MDSI) research talk of Francesca Finotello on Wednesday, 24 June 2026 at 01:00 pm at the MDSI in Garching. 🔗 Further information on the talk and the registration can be found on the MDSI website. www.mdsi.tum.de/mdsi/bildung...

Research Talk: Decoding tissue complexity via deconvolution of transcriptomic data

The investigation of the cellular composition and architecture of tissues is key to understanding mechanisms that underlie tissue function and its disruption during disease. Deconvolution is a computa...

mdsi.tum.de

DaiSyBio@daisybio.de · 4mo ago

Last Wednesday, our DaiSyBio team proudly joined the 12th TUM Campuslauf in Garching for an unfortunately very rainy, but still incredibly fun, 5.5 km race. 🏃‍♂️‍➡️🌧️🏃‍♀️

DaiSyBio@daisybio.de · 4mo ago

🚀 Excited to share that our latest publication, "Drugst.One DREAM, Drug Repurposing through Expert Annotation and Modification" is now published in the British Journal of Pharmacology.

DaiSyBio@daisybio.de · 4mo ago

Today @fabiantheis.bsky.social has been visiting the campus of the TUM School of Life Sciences for giving an inspiring TUM Life Science Talk. We fully share his view that the decades-old vision of systems biology is finally within our reach. Exciting times ahead!

Lecture hall showing the talk of Prof. Fabian Theis and the audience.
DaiSyBio@daisybio.de · 4mo ago

Amazing news from DaiSyBio! As the first official DaiSyBio PhD student, Alexander Dietrich successfully defended his thesis, “Advanced Methods for Cellular Composition Inference from Bulk Molecular Profiles,” on February 24th and, as of yesterday, can officially be called Dr. Dietrich.

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DaiSyBio@daisybio.de · 5mo ago

🚀 New publication from the MOPITAS project Very happy to share our latest publication in Briefings in Bioinformatics, presenting a benchmarking and analysis platform for spatial transcriptomics simulations.

DaiSyBio@daisybio.de · 5mo ago

✨ Call for abstracts for the "AI and Bioinformatics" satellite workshop at the 55th Annual Meeting of the German Society for Immunology ✨

DaiSyBio@daisybio.de · 9mo ago

One of our students, EliasAlbrecht, went the extra mile in his project and created an educational 3D-printed model of a nucleosome. We're stunned by the level of detail and excited to use this in our lectures and public events. The model is open to the community makerworld.com/en/models/20...

Histone Display by user_506892605 MakerWorld: Download Free 3D Models

This is a histone display that illustrates a nucleosome. The DNA is wrapped around a histone octamer consisting of H3, H4, H2A, and H2B. The model includes methylated cytosines, as well as histone tai...

makerworld.com

DaiSyBio@daisybio.de · last yr.

#teamretreat Hello from the Bavarian Alps 👋 Team building activities, vision development and a hackathon are on our agenda: some days beyond the routine to rethink team work, to cook together, to listen to each other’s talks and all this surrounded by a splendid landscape!

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Markus List@itisalist.bsky.social · last yr.

🧬🖥️Drug response prediction is a machine learning challenge with immense potential for precision medicine. Our latest preprint introduces DrEval, a comprehensive benchmarking framework to evaluate state-of-the-art methods, uncover widespread issues, and guide the development of more robust models.

Judith Bernett@judith-bernett.bsky.social · last yr.

🧬🖥️So excited to show you the outcome of @pascivers.bsky.social and my latest project: "From Hype to Health Check: Critical Evaluation of Drug Response Prediction Models with DrEval" doi.org/10.1101/2025.05.26.655288, published with M. Picciani, M. Wilhelm, K. Baum & @itisalist.bsky.social. 🧵1/10

Overview of the DrEval framework. Via input options, implemented state-of-the-art models can be compared against baselines of varying complexity. We address obstacles to progress in the field at each point in our pipeline: Our framework is available on PyPI and nf-core and we follow FAIReR standards for optimal reproducibility. DrEval is easily extendable as demonstrated here with a pseudocode implementation of a proteomics-based random forest. Custom viability data can be preprocessed with CurveCurator, leading to more consistent data and metrics. DrEval supports five widely used datasets with application-aware train/test splits that enable detecting weak generalization. Models are free to use provided or custom cell line– and drug features. The pipeline supports randomization-based ablation studies and performs robust hyperparameter tuning for all models. Evaluation is conducted using meaningful, bias-resistant metrics to avoid inflated results from artifacts such as Simpson’s paradox. All results are compiled into an interactive HTML report. Created in https://BioRender.com.
Tanja Laske@mathbiotanja.bsky.social · last yr.

Check out our new paper in Briefings in Bioinformatics: #PRONE - an R package & app for evaluating a plethora of #proteomics normalization methods, showcased for nine datasets! Find out more here: doi.org/10.1093/bib/... @cosybio-uhh.bsky.social @daisybio.de TUM FraunhoferIZI

Systematic evaluation of normalization approaches in tandem mass tag and label-free protein quantification data using PRONE

Abstract. Despite the significant progress in accuracy and reliability in mass spectrometry technology, as well as the development of strategies based on i

doi.org

DaiSyBio@daisybio.de · last yr.

Weihenstephan Bioinformatics Symposium 2025: More than 75 scientists from Bavaria and the world came together to share talks and create new synergies. It was great to host this event, for those who missed it: The next edition is planned for 2027 😉

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DaiSyBio@daisybio.de · last yr.

📍#thisisus @quirinmanz.bsky.social is today's doctoral candidate in focus! He is fascinated by the broad application of bioinformatics, from understanding the fundamentals of molecular biology to creating patient benefits in clinics. Currently, he is planning a research stay overseas. Stay posted!📍

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DaiSyBio@daisybio.de · last yr.

📍@daisybio.de #thisisus @a-dietrich.bsky.social began his PhD in 2022. Alex is genuinely interested in how cells are defined by their molecular profiles and in cell-type deconvolution. Besides that, he is positioning DaiSyBio under the top participants at the TUM campus run! 🏃🎽👟 📍

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