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Name: Systems and Synthetic Biology at Chalmers University of Technology
Type: Organization
Location: Gothenburg, Sweden
Blog: https://www.sysbio.se
Name: Systems and Synthetic Biology at Chalmers University of Technology
Type: Organization
Location: Gothenburg, Sweden
Blog: https://www.sysbio.se
Estimating the anti-bacterial property of surfaces based on SEM images
This repository contains code and data needed to replicate the analysis carried out in the manuscript Li G, et al. 2020.
Modeling of the energy metabolism of the brain
A collection of scripts to analyze cancer transcriptomics data using various statistical and machine-learning approaches.
Canonical Decomposition of Data-Independent-Acquired Spectra
Code and data for in silico strain design for enhanced production of +100 typical bio-products with yeast as a cell-factory. Predictions are based on the ecYeastGEM model avaiable at ecModels.
58 GEMs for gut bacterial species from microbiota of healthy and malnourished children.
Pipeline for analyzing ChIPexo datasets
R Interface to C API of COIN-OR Clp
Integration of cofactors with proteome-constrained model of Saccharomyces cerevisiae
Collection of data and scripts for the study "Adaptations in metabolism and protein translation give rise to the Crabtree effect in yeast"
R Interface to C API of IBM ILOG CPLEX
Some files needed to run kallisto and bustools in Google Colab
Deep learning and Bayesian approach applied to enzyme turnover number for the improvement of enzyme-constrained genome-scale metabolic models (ecGEMs) reconstruction
Matlab code for the paper "Dissecting Cell-to-Cell Variation in Single-cell RNA-Seq Data"
R Package DSAVE (Down-SAmpling based Variation Estimation). The package operates on single-cell RNA-Seq data and is useful for finding misclassified cells, comparing the outcome of clustering methods, figuring out minimum clustering sizes to get the same variation as for bulk, and comparing the technical variation across datasets. The package is compatible with Seurat.
A constraint-based method for prediction of metabolic engineering targets using ecModels of metabolism
Automated pipeline for full kinetic parameterization of a reduced model for Saccharomyces cerevisiae's central carbon metabolism.
A container for all enzyme constrained models created by GECKO.
Energy metabolism model
Global analysis of kinetic parameters in the BRENDA database, used by the GECKO toolbox
Collection of scripts for enhancing humanGEM based models with kinetic and proteomics constraints and specialized simulation utilities.
Enzyme constrained model of intermediary metabolism in S. cerevisiae
Transcriptome analysis of EPO- and GFP-producing HEK293 Cell-lines
The FALCONET R package enables to build and visualise metabolic maps of GEM automatically with aid of cellDesigner 4.4 and R platform
Genome scale model for Drosophila melanogaster
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.