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Constellab Change Log Announcement 🚀🎉
We are super excited to announce some major updates and new features on Constellab! 🎊 Get ready for a smoother, more powerful, and even more fun experience! Below are the key changes we’ve made just ...
Mission-managed projects
This is a short article on Mission-Managed Project (MMP) method Agile methods revolutionized project management by emphasizing iterative progress, collaboration, and flexibility 🌱. Starting with the ...
Download NCBI data by linking to your query
The National Center for Biotechnology Information (NCBI), founded in 1988 as part of the National Library of Medicine (NLM), plays an important role in the ...
Contextualize your metabolic network using enzymatic data with BIOTA
Adding enzymatic parameters to a metabolic network model helps to improve the accuracy of simulations, to understand underlying mechanisms of reactions and to predict dynamic responses of the system t...
Gencovery launches Fair Open Access to Constellab
Fair Open Access embodies transparency, inclusivity, and collaboration. It ensures that data science resources are accessible to all, fostering innovation and progress in research. By promoting up-to-...
Analyse your data with interactive dashboards using Streamlit!
Streamlit is a widely-used Python package that enables rapid development of data applications. It is renowned for its simplicity and efficiency, making it an ideal tool for creating interactive dashbo...
Constellab Contest Guidelines
The Constellab Contest isn't just a competition; it's a movement towards open source innovation and collective knowledge in the life sciences. Are you passionate about pushing the boundaries of knowle...
Single-cell RNA-Seq Analysis Pipeline
In 2023, Batignes et al. published an article intitled "Enhanced Inflammatory Signaling Driven by Metabolic Switch in Aicardi-Goutières Syndrome". Aicardi-Goutières syndrome (AGS) is a genetic ...
PyDESeq2 for differential expression analysis (DEA) with bulk RNA-seq data
PyDESeq2, a Python implementation of the DESeq2 method originally developed in R (click here) , is a versatile tool for conducting differential expressi...
Crafting Metabolic Models: A Guide for Robustness
To delve into the study of digital twins, one requires a meticulously crafted metabolic model to facilitate in-depth analysis. Unfortunately, the current state of metabolic models lacks uniformity and...