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# Constraint-based modeling identifies cell-state specific metabolic vulnerabilities during the epithelial to mesenchymal transition
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# Genome-scale modeling identifies dynamic metabolic vulnerabilities during the epithelial to mesenchymal transition
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## Summary
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This repository contains the code from the paper Constraint-based modeling identifies cell-state specific metabolic vulnerabilities during the epithelial to mesenchymal transition by Campit, S.E., Keshamouni, V.G., and Chandrasekaran, S.
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This repository contains the code from the paper Genome-scale modeling identifies dynamic metabolic vulnerabilities during the epithelial to mesenchymal transition by Bhowmick, R., Campit, S.E., Katkam, S.K., Keshamouni, V.G., and Chandrasekaran, S.
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**Key analyses contained in notebooks:**
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1. Data preprocessing for transcriptomics, proteomics, single-cell transcriptomics, CERES Score data, and other =omics datasets.
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1. Data preprocessing for transcriptomics, proteomics, single-cell transcriptomics, CERES Score data, and other omics datasets.
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2. Constraint-based metabolic reconstruction and analysis code for simulating metabolic fluxes and growth resulting from gene and reaction knockout.
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3. Statistical analyses for assessing differences between groups.
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3. Statistical analyses for assessing differences between groups.
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## Programming languages used in this analysis
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## Contact
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Chandrasekaran Research Group - https://systemsbiologylab.org/
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Contact: csriram@umich.edu
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Contact: csriram@umich.edu

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