{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Looking up genes by KEGG\n", "\n", "V quick query for JP, not well documented!\n", "https://github.com/monarch-initiative/operations/issues/91#issuecomment-308893761" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from ontobio.ontol_factory import OntologyFactory\n", "ofactory= OntologyFactory()" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# For SciGraph we need to use a config file that maps the SciGraph\n", "# handle onto a URL\n", "from ontobio.config import set_config\n", "set_config('../conf/config.yaml')" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "sgo = ofactory.create('scigraph:data')" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['KEGG-path:map00061']" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "matches = sgo.search('Fatty acid biosynthesis')\n", "matches" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "from ontobio.golr.golr_query import GolrAssociationQuery" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "collapsed": true }, "outputs": [], "source": [ "q = GolrAssociationQuery(subject_category='gene', object=matches[0], subject_taxon='NCBITaxon:9606')" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "assocs = q.exec()['associations']" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "NCBIGene:31 ACACA\n", "NCBIGene:27349 MCAT\n", "NCBIGene:2194 FASN\n", "NCBIGene:55301 OLAH\n", "NCBIGene:54995 OXSM\n", "NCBIGene:32 ACACB\n" ] } ], "source": [ "for a in assocs:\n", " gene = a['subject']\n", " print(\"{} {}\".format(gene['id'], gene['label']))" ] } ], "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": "3.5.2" } }, "nbformat": 4, "nbformat_minor": 2 }