Constellab brick for genome-scale metabolic modelling
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Updated
May 27, 2024 - Python
Constellab brick for genome-scale metabolic modelling
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Register Nodes to the ACI Fabric
Code for training and parameter tuning of a machine learning model for non-linear aggregation of image denoising estimators using COBRA combined regression strategy. The face images used for training and testing are taken from the Labelled Faces in the Wild (LFW) dataset.
Reproduce the figures in "The genetic basis for adaptation of model-designed syntrophic co-cultures"
COBRA for Classification tasks on Imbalanced Data
A desktop app, web app and CLI to operate and find vulnerabilities in SBML metabolic networks.
Provide SQLAlchemy ORM and pydantic data models for SQL storage and serialization of COBRA components such as reactions, compounds, and compartments.
GEMsembler tool for assembling and comparing several types of Genome-Scale Metabolic Models (GEMs)
Cobra can steal system info of the windows system and then send it to a email of your choice
CLI Tool to init new reproducible project with the help of conda and github
An implementation of genome-scale model reconstruction using Cost Optimization Reaction Dependency Assessment by Schultz et. al
PyTest plugin for testing smart contracts for Ethereum blockchain.
A COBRApy extension for genome-scale models of metabolism and expression (ME-models)
An integrated visual environment for metabolic modeling with common methods such as FBA, FVA and Elementary Flux Modes, and advanced features such as thermodynamic methods, extended Minimal Cut Sets, OptKnock, RobustKnock, OptCouple and more!
Python package to study microbial communities using metabolic modeling.
COBRApy is a package for constraint-based modeling of metabolic networks.
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