{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Model Reconstruction" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The first step in constructing a metabolic model using ModelSEED is to load and annotate your genome sequence. The following examples demonstrate this process using ModelSEEDpy from a variety of input file types or data sources." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Examples" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* [Genomes](Genomes.ipynb) Read genome\n", "* [Build Metabolic Model](build_metabolic_model.ipynb) Build Genome-Scale Metabolic Model\n", "* [Gapfilling](Gapfilling.ipynb) Gapfill Model\n", "* [Genome Classifier](Classifier.ipynb) Using ML Model to classify genome\n", "* [Edit](add_ms_reaction.ipynb) Edit Model\n", "* [Biochemistry](Biochem.ipynb) ModelSEED Biochemitry database" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.9.12" } }, "nbformat": 4, "nbformat_minor": 4 }