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Thibault E
#TE-76f5f192
Stories - 10
Apps - 0
Agents - 4
Bricks - 1
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...
EC
Estelle Champion
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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...
Maëva B
3
1
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 ...
Nour L
3
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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...
Nour L
2
0