def testCheckTaxon(self): """ ensure taxon check works """ go = GeneOntology([self.taxId],upass=UPASS) go.check_taxon(self.taxId)
def test02CreateGoGraph(self): """ ensure we can create, save and retrieve the gograph """ termsPickle = 'terms.pickle' graphPickle = 'graph.pickle' go = GeneOntology(self.taxId, upass=UPASS, idType='ncbi', useIea=True) G = go.create_gograph(termsPath=termsPickle, graphPath=graphPickle) for picklePath in [termsPickle, graphPickle]: if os.path.exists(picklePath): os.remove(picklePath)
def test02CreateGoGraph(self): """ ensure we can create, save and retrieve the gograph """ termsPickle = 'terms.pickle' graphPickle = 'graph.pickle' go = GeneOntology(self.taxId,upass=UPASS,idType='ncbi',useIea=True) G = go.create_gograph(termsPath=termsPickle,graphPath=graphPickle) for picklePath in [termsPickle,graphPickle]: if os.path.exists(picklePath): os.remove(picklePath)
def test01GetDicts(self): """ ensure we can create, save and retrieve gene2go and go2gene dictionaries """ termsPath = 'terms.pickle' if os.path.exists(termsPath) == True: os.remove(termsPath) go = GeneOntology([self.taxId],upass=UPASS,idType='ncbi',useIea=True,\ aspect='biological_process') go.create_dicts(termsPath) gene2go, go2gene = go.load_dicts(termsPath) print("there are %s genes"%(len(gene2go.keys()))) print("there are %s terms"%(len(go2gene.keys())))
import time,os,re from htsint import GeneOntology,TermDistances,GeneDistances,GeneSetCollection from htsint.stats import SpectralCluster, SpectralClusterParamSearch, SpectralClusterResults from htsint.blast import BlastMapper # specify main variables (biological_process, molecular_function, cellular_component) homeDir = os.path.join(".","demo") if not os.path.isdir(homeDir): os.mkdir(homeDir) _aspect = 'bp' aspect = 'biological_process' # Create a term graph go = GeneOntology(["8364","8355"],useIea=False,aspect=aspect) termsPath = os.path.join(homeDir,"go-terms.pickle") graphPath = os.path.join(homeDir,"go-graph.pickle") if not os.path.exists(termsPath): go.create_dicts(termsPath) gene2go,go2gene = go.load_dicts(termsPath) G = go.create_gograph(termsPath=termsPath,graphPath=graphPath) print("%s genes have at least one annotation"%(len(gene2go.keys()))) print("Term graph for with %s nodes successfully created."%(len(G.nodes()))) # Calculate term distances (most time consuming step) termDistancePath = os.path.join(homeDir,"term-distances.npy") if not os.path.exists(termDistancePath): td = TermDistances(termsPath,graphPath) print("total distances to evaluate: %s"%td.totalDistances) timeStart = time.time()
pathway = pathwayFile[:-4] geneList = get_genes(pathway) print(geneList.items()[:3]) ## create a directory for the analysis gsaDir = os.path.join(".", "gsa-path") if not os.path.exists(gsaDir): os.mkdir(gsaDir) ## make imports and specify variables from htsint import GeneOntology, TermDistances useIea = True aspect = "biological_process" _aspect = 'bp' taxaList = ['9606'] go = GeneOntology(taxaList, useIea=useIea, aspect=aspect) termsPath = os.path.join(gsaDir, "go-terms-%s.pickle" % (_aspect)) graphPath = os.path.join(gsaDir, "go-graph-%s.pickle" % (_aspect)) geneIds = geneList.keys() if not os.path.exists(termsPath): go.create_dicts(termsPath, accepted=geneIds) gene2go, go2gene = go.load_dicts(termsPath) print("pathway genes with terms: %s/%s" % (len(gene2go.keys()), len(geneIds))) if not os.path.exists(graphPath): G = go.create_gograph(termsPath=termsPath, graphPath=graphPath) print("Term graph for with %s nodes successfully created." % (len(G.nodes()))) # Calculate term distances
import time, os, re from htsint import GeneOntology, TermDistances, GeneDistances, GeneSetCollection from htsint.stats import SpectralCluster, SpectralClusterParamSearch, SpectralClusterResults from htsint.blast import BlastMapper # specify main variables (biological_process, molecular_function, cellular_component) homeDir = os.path.join(".", "demo") if not os.path.isdir(homeDir): os.mkdir(homeDir) _aspect = 'bp' aspect = 'biological_process' # Create a term graph go = GeneOntology(["8364", "8355"], useIea=False, aspect=aspect) termsPath = os.path.join(homeDir, "go-terms.pickle") graphPath = os.path.join(homeDir, "go-graph.pickle") if not os.path.exists(termsPath): go.create_dicts(termsPath) gene2go, go2gene = go.load_dicts(termsPath) G = go.create_gograph(termsPath=termsPath, graphPath=graphPath) print("%s genes have at least one annotation" % (len(gene2go.keys()))) print("Term graph for with %s nodes successfully created." % (len(G.nodes()))) # Calculate term distances (most time consuming step) termDistancePath = os.path.join(homeDir, "term-distances.npy") if not os.path.exists(termDistancePath): td = TermDistances(termsPath, graphPath) print("total distances to evaluate: %s" % td.totalDistances) timeStart = time.time()