Bioinformatics and Systems Biology group UMinho

Bioprocess Engineering and Computational BioSystems group @ University of Minho

[Bioinformatics and Systems Biology group UMinho @BiSBi_um]

Check out our latest paper introducing DeepMol, an innovative tool designed for the community that leverages AutoML concepts to effortlessly streamline QSAR/QSPR pipelines.
https://t.co/6owNaWwiGM

[Bioinformatics and Systems Biology group UMinho @BiSBi_um]

Excited to share PENGUIN! 🐧 In collaboration with Leiden University Medical Centre, we developed a tool to denoise & normalize multiplex imaging data, improving tasks like cell segmentation & phenotyping. Read more: https://t.co/KurRxi5vKk

[Bioinformatics and Systems Biology group UMinho @BiSBi_um]

Interested in learning more about grapevine metabolism? 🍇 Check out our new paper where we introduced the first diel multi-tissue model of Vitis vinifera and combine metabolic simulations with ML to explore grape metabolism across developmental stages.

https://t.co/B7bW8mCX6w

[Bioinformatics and Systems Biology group UMinho @BiSBi_um]

#Bioinformatics #Omics

[Bioinformatics and Systems Biology group UMinho @BiSBi_um]

🧬 Got metagenomics, metatranscriptomics, & metaproteomics data? Wondering what to do next? 🌟 Check out our new paper on a pipeline that analyzes these datasets, draws KEGG metabolism maps, & explores differential gene expression! 📊🔬
https://t.co/RDIdrg1JO6

[Bioinformatics and Systems Biology group UMinho @BiSBi_um]

Our Summer School on Metabolic Modeling is here, and early registration is open! Explore accessible resources for modeling, simulating phenotypes, and optimizing strains. Visit https://t.co/Hf1ALQRuf1 to learn more.

[Bioinformatics and Systems Biology group UMinho @BiSBi_um]

Check out our new paper that integrates GSM models with DNA methylation data in 31 cell lines, revealing insights into metabolic shifts influencing gene expression in cancer. Congrats to all involved!
https://t.co/1Dym3Gnrns

[Bioinformatics and Systems Biology group UMinho @BiSBi_um]

We're thrilled to share our latest research introducing BioISO, a powerful tool in Genome-Scale Metabolic Models (GEMs) reconstruction. Accelerate your model debugging with BioISO's recursive algorithm and Flux Balance Analysis (FBA). Check out our paper https://t.co/Yjbn4L16Ea

[Bioinformatics and Systems Biology group UMinho @BiSBi_um]

Check out our latest paper, where we present TranSyt, an innovative framework for identifying transport systems. https://t.co/d8xTGgEqFr

[Bioinformatics and Systems Biology group UMinho @BiSBi_um]

Check out our new recent review on extraction methodologies applied to microalgae. Congrats to all involved! https://t.co/wTxlKUNFPy

[Bioinformatics and Systems Biology group UMinho @BiSBi_um]

Check out our new paper introducing ReactEA, a reaction-based evolutionary framework for the generation of molecules with optimized properties. Congrats to all involved!
https://t.co/CuHpAerdKk

[Bioinformatics and Systems Biology group UMinho @BiSBi_um]

Last chance to register for S2M2 course before regular registration deadline! Our program will focus on accessible resources for reconstruction metabolic models, simulating phenotypes, and optimizing strains. Visit https://t.co/HLLEo67UVn to learn more.

[Bioinformatics and Systems Biology group UMinho @BiSBi_um]

Join our Summer School in Metabolic Modeling and gain valuable skills in reconstructing metabolic models, simulating phenotypes, and optimizing strains using user-friendly tools. Register now to secure your spot. Visit our website https://t.co/AHObSUcnsB

[Bioinformatics and Systems Biology group UMinho @BiSBi_um]

Check out our new review on recent computational tools for microbial metabolism! A nice collaboration with Maria Zimmermann-Kogadeeva 's group at EMBL! Thanks Maria and Bartosz, and all the group members! https://t.co/uaZG3BCQ5s

[Bioinformatics and Systems Biology group UMinho @BiSBi_um]

Enroll today to join our Summer School on Metabolic Modeling! Our program will focus on accessible resources for reconstruction metabolic models, simulating phenotypes, and optimizing strains. Visit https://t.co/HLLEo67UVn to learn more.

[Bioinformatics and Systems Biology group UMinho @BiSBi_um]

Please check out our novel paper in PLoS Computational Biology, which evaluates deep learning methods for the prediction of drug synergy in cancer.
Congratulations to Delora for her great work!

https://t.co/9rYMv8CBit

[Bioinformatics and Systems Biology group UMinho @BiSBi_um]

Check out our recent review of the application of metabolic models in the optimization of growth conditions and cost-effectiveness of microalgae products here: https://t.co/mnp9B3VDNm
Congrats to all involved!
#microalgae #metabolic #modeling

[Bioinformatics and Systems Biology group UMinho @BiSBi_um]

Check out our new article published in the Journal of Integrative Bioinformatics. Here we show that BIT, a GEMs reconstruction tool developed by our group, is a reliable alternative to other approaches that create draft models. #metabolism #modeling
https://t.co/YGo2JsI8E8

[Bioinformatics and Systems Biology group UMinho @BiSBi_um]

Please check out our new article on deep learning (DL) methods that predict drug sensitivity in cancer cell lines, using DeepMol, a new chemoinformatics package developed by our research group!
https://t.co/HkvSVkc5fS
#DeepLearning #ChemoInformatics

[Bioinformatics and Systems Biology group UMinho @BiSBi_um]

Please check our novel paper on PLoS Computational Biology, describing our pipeline for reconstructing and evaluating context-specific metabolic models for human cancer cell lines, using in-house developed tools, including troppo! #metabolism #modeling
https://t.co/JIDkk7hE96