{ "cells": [ { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "h:pato g:\n" ] } ], "source": [ "from ontobio.ontol_factory import OntologyFactory\n", "\n", "ofactory = OntologyFactory()\n", "ont = ofactory.create(\"pato\") ## Connect remotely to PATO over SPARQL\n", "##\n", "## Note: Jupyter may show '*' to indicate kernel busy while this is being\n", "## fetched - should only take a few seconds. Wait before proceeding" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'label': 'ploidy'}" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cls = ont.node('PATO:0001374')\n", "cls" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'PATO:0001375',\n", " 'PATO:0001376',\n", " 'PATO:0001377',\n", " 'PATO:0001378',\n", " 'PATO:0001379',\n", " 'PATO:0001380',\n", " 'PATO:0001381',\n", " 'PATO:0001382',\n", " 'PATO:0001383',\n", " 'PATO:0001384',\n", " 'PATO:0001385',\n", " 'PATO:0001386',\n", " 'PATO:0001387',\n", " 'PATO:0001388',\n", " 'PATO:0001389',\n", " 'PATO:0001390',\n", " 'PATO:0001391',\n", " 'PATO:0001392',\n", " 'PATO:0001393',\n", " 'PATO:0001394',\n", " 'PATO:0001395'}" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ancs = ont.descendants('PATO:0001374')\n", "ancs" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[\"PATO:0001376 'monoploid'\",\n", " \"PATO:0001380 'paleopolyploid'\",\n", " \"PATO:0001379 'allopolyploidy'\",\n", " \"PATO:0001377 'polyploid'\",\n", " \"PATO:0001390 'partial trisomy'\",\n", " \"PATO:0001375 'haploid'\",\n", " \"PATO:0001392 'endopolyploid'\",\n", " \"PATO:0001385 'aneuploid'\",\n", " \"PATO:0001395 'haplodiploid'\",\n", " \"PATO:0001382 'tetraploid'\",\n", " \"PATO:0001378 'autopolyploid'\",\n", " \"PATO:0001394 'diploid'\",\n", " \"PATO:0001383 'pentaploid'\",\n", " \"PATO:0001393 'euploid'\",\n", " \"PATO:0001391 'mosaic trisomy'\",\n", " \"PATO:0001386 'monosomy'\",\n", " \"PATO:0001389 'trisomy'\",\n", " \"PATO:0001387 'disomy'\",\n", " \"PATO:0001388 'uniparental disomy'\",\n", " \"PATO:0001381 'triploid'\",\n", " \"PATO:0001384 'hexaploid'\"]" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "[\"{} '{}'\".format(x, ont.label(x)) for x in ont.descendants('PATO:0001374')]" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['http://purl.obolibrary.org/obo/pato#abnormal_slim',\n", " 'http://purl.obolibrary.org/obo/pato#absent_slim',\n", " 'http://purl.obolibrary.org/obo/pato#attribute_slim',\n", " 'http://purl.obolibrary.org/obo/pato#cell_quality',\n", " 'http://purl.obolibrary.org/obo/pato#disposition_slim',\n", " 'http://purl.obolibrary.org/obo/pato#hpo_slim',\n", " 'http://purl.obolibrary.org/obo/pato#mpath_slim',\n", " 'http://purl.obolibrary.org/obo/pato#relational_slim',\n", " 'http://purl.obolibrary.org/obo/pato#scalar_slim',\n", " 'http://purl.obolibrary.org/obo/pato#value_slim']" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ont.subsets() ## Issues remote call; Jupyter may show '*' for ~1s" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "collapsed": true }, "outputs": [], "source": [ "slim = ont.extract_subset('absent_slim') ## Issues remote call; Jupyter may show '*' for ~1s" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[\"PATO:0000462 'absent'\",\n", " \"PATO:0000467 'present'\",\n", " \"PATO:0015001 'absence due to degeneration'\"]" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "[\"{} '{}'\".format(x, ont.label(x)) for x in slim]" ] }, { "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": "3.5.2" } }, "nbformat": 4, "nbformat_minor": 2 }