{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "![Alt text](images/cameo_logo.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Computer aided metabolic engineering and optimization of cell factories" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "..." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Materials for metabolic engineers\n", "\n", "The following notebooks document the user interface of cameo.\n", "\n", "* [Quick start guide](01-quick-start.ipynb)\n", "* [High-level-API](08-high-level-API.ipynb)\n", "* [Case study: vanillin production](09-vanillin-production.ipynb)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Materials for modelers and method developers\n", "\n", "The following notebooks are targeting modelers that want low-level access and people that want use the cameo library to develop their _in silico_ strain design methods and pipelines.\n", "\n", "* [Import metabolic models](02-import-models.ipynb): load models from files or from the internet.\n", "* [Simulate metabolic models](03-simulate-models.ipynb): compute fluxes using d\n", "* [Analyze metabolic models](04-analyze-models.ipynb)\n", "* [Gene deletetion strategies](05-predict-gene-knockout-strategies.ipynb)\n", "* [Gene expression modulation](06-predict-gene-modulation-targets.ipynb)\n", "* [Heterlogous pathways](07-predict-heterologous-pathways.ipynb)\n", "* [Parallelize computations](11-multiprocess.ipynb)\n", "* [Custom heuristic optimization methods](12-advanced-usage-of-heuristic-optimization.ipynb)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.5.0" } }, "nbformat": 4, "nbformat_minor": 0 }