use of gov.nih.nci.ctd2.dashboard.model.Compound in project nci-ctd2-dashboard by CBIIT.
the class CompoundSynonymsFieldSetMapper method mapFieldSet.
public Compound mapFieldSet(FieldSet fieldSet) throws BindException {
String compoundId = fieldSet.readString(CPD_ID);
String compoundName = fieldSet.readString(CPD_NAME);
// find compound by xref (broad)
Compound compound = compoundMap.get(compoundId);
if (compound != null) {
Synonym synonym = dashboardFactory.create(Synonym.class);
synonym.setDisplayName(compoundName);
compound.getSynonyms().add(synonym);
}
return compound;
}
use of gov.nih.nci.ctd2.dashboard.model.Compound in project nci-ctd2-dashboard by CBIIT.
the class CompoundDataWriter method execute.
public RepeatStatus execute(StepContribution arg0, ChunkContext arg1) throws Exception {
Collection<Compound> compounds = compoundMap.values();
for (Compound compound : compounds) {
String stableURL = new StableURL().createURLWithPrefix("compound", compound.getDisplayName());
compound.setStableURL(stableURL);
}
dashboardDao.batchSave(compounds, batchSize);
return RepeatStatus.FINISHED;
}
use of gov.nih.nci.ctd2.dashboard.model.Compound in project nci-ctd2-dashboard by CBIIT.
the class AdminTest method importerTest.
@Test
public void importerTest() throws Exception {
// import taxonomy data
jobExecution = executeJob("taxonomyDataImporterJob");
assertEquals("COMPLETED", jobExecution.getExitStatus().getExitCode());
assertEquals("Organism count", 2, dashboardDao.countEntities(Organism.class).intValue());
List<Organism> organisms = dashboardDao.findOrganismByTaxonomyId("9606");
assertEquals(1, organisms.size());
assertEquals("Homo sapiens", organisms.iterator().next().getDisplayName());
// animal model
jobExecution = executeJob("animalModelImporterJob");
assertEquals("COMPLETED", jobExecution.getExitStatus().getExitCode());
assertEquals("AnimalModel count", 1, dashboardDao.countEntities(AnimalModel.class).intValue());
List<AnimalModel> models = dashboardDao.findAnimalModelByName("[FVB/N x SPRET/Ei] x FVB/N");
assertEquals("AnimalModel found by name", 1, models.size());
assertEquals("10090", models.iterator().next().getOrganism().getTaxonomyId());
// import some cell line data
jobExecution = executeJob("cellLineDataImporterJob");
assertEquals("COMPLETED", jobExecution.getExitStatus().getExitCode());
assertEquals("CellSample count", 3, dashboardDao.countEntities(CellSample.class).intValue());
List<CellSample> cellSamples = dashboardDao.findCellSampleByAnnoSource("COSMIC (Sanger)");
assertEquals("CellSample found by source", 3, cellSamples.size());
cellSamples = dashboardDao.findCellSampleByAnnoType("primary_site");
assertEquals(3, cellSamples.size());
cellSamples = dashboardDao.findCellSampleByAnnoName("acute_lymphoblastic_B_cell_leukaemia");
assertEquals("CellSample size", 1, cellSamples.size());
CellSample cellSample = (CellSample) cellSamples.iterator().next();
assertEquals(8, cellSample.getAnnotations().size());
assertEquals("CellSamples synonyms size", 2, cellSample.getSynonyms().size());
Annotation annotation = cellSample.getAnnotations().iterator().next();
cellSamples = dashboardDao.findCellSampleByAnnotation(annotation);
assertEquals(1, cellSamples.size());
assertEquals(cellSample, cellSamples.iterator().next());
List<Subject> cellSampleSubjects = dashboardDao.findSubjectsBySynonym("5637", true);
assertEquals(1, cellSampleSubjects.size());
cellSample = (CellSample) cellSampleSubjects.iterator().next();
assertEquals("M", cellSample.getGender());
// import some compound data
jobExecution = executeJob("compoundDataImporterJob");
assertEquals("COMPLETED", jobExecution.getExitStatus().getExitCode());
assertEquals("Compound count", 10, dashboardDao.countEntities(Compound.class).intValue());
List<Subject> compoundSubjects = dashboardDao.findSubjectsByXref(CompoundsFieldSetMapper.BROAD_COMPOUND_DATABASE, "411739");
assertEquals(1, compoundSubjects.size());
List<Compound> compounds = dashboardDao.findCompoundsBySmilesNotation("CCCCCCCCC1OC(=O)C(=C)C1C(O)=O");
assertEquals(1, compounds.size());
assertEquals(3, compounds.iterator().next().getSynonyms().size());
List<Subject> compoundSubjectsWithImage = dashboardDao.findSubjectsByXref(CompoundsFieldSetMapper.COMPOUND_IMAGE_DATABASE, "BRD-A01145011.png");
assertEquals(1, compoundSubjectsWithImage.size());
assertEquals("zebularine", compoundSubjectsWithImage.iterator().next().getDisplayName());
// import some gene data
jobExecution = executeJob("geneDataImporterJob");
assertEquals("COMPLETED", jobExecution.getExitStatus().getExitCode());
assertEquals("Gene count", 19, dashboardDao.countEntities(Gene.class).intValue());
List<Gene> genes = dashboardDao.findGenesByEntrezId("7529");
assertEquals(1, genes.size());
assertEquals("synonym number for 7529", 12, genes.iterator().next().getSynonyms().size());
List<Subject> geneSubjects = dashboardDao.findSubjectsBySynonym("RB1", true);
assertEquals(1, geneSubjects.size());
// import some protein data
jobExecution = executeJob("proteinDataImporterJob");
assertEquals("COMPLETED", jobExecution.getExitStatus().getExitCode());
assertEquals("Protein count", 15, dashboardDao.countEntities(Protein.class).intValue());
List<Protein> proteins = dashboardDao.findProteinsByUniprotId("P31946");
assertEquals(1, proteins.size());
// some transcripts get created along with proteins
assertEquals(35, dashboardDao.countEntities(Transcript.class).intValue());
List<Transcript> transcripts = dashboardDao.findTranscriptsByRefseqId("NM_003404");
assertEquals(1, transcripts.size());
// import some shrna
jobExecution = executeJob("TRCshRNADataImporterJob");
assertEquals("COMPLETED", jobExecution.getExitStatus().getExitCode());
assertEquals("ShRna count", 1, dashboardDao.countEntities(ShRna.class).intValue());
List<Subject> shRNASubjects = dashboardDao.findSubjectsByXref("BROAD_SHRNA", "TRCN0000000001");
assertEquals(1, shRNASubjects.size());
ShRna shRNA = (ShRna) shRNASubjects.get(0);
assertEquals("CCCTGCCAAACAAGCTAATAT", shRNA.getDisplayName());
assertEquals("CCCTGCCAAACAAGCTAATAT", shRNA.getTargetSequence());
// import some tissue sample data
jobExecution = executeJob("tissueSampleDataImporterJob");
assertEquals("COMPLETED", jobExecution.getExitStatus().getExitCode());
assertEquals("TissueSample count", 2, dashboardDao.countEntities(TissueSample.class).intValue());
List<TissueSample> tissueSamples = dashboardDao.findTissueSampleByName("neoplasm by morphology");
assertEquals(1, tissueSamples.size());
TissueSample tissueSample = tissueSamples.get(0);
assertEquals(1, tissueSample.getSynonyms().size());
assertEquals("Xrefs size", 2, tissueSample.getXrefs().size());
// check tissue xref import
tissueSamples = dashboardDao.findTissueSampleByName("neoplasm");
assertEquals(1, tissueSamples.size());
String doid = "not found";
for (Xref xref : tissueSamples.get(0).getXrefs()) {
if ("DISEASE ONTOLOGY".equals(xref.getDatabaseName())) {
doid = xref.getDatabaseId();
}
}
assertEquals("DOID:14566", doid);
tissueSamples = dashboardDao.findTissueSampleByName("neoplasm by morphology");
assertEquals(1, tissueSamples.size());
doid = "not found";
for (Xref xref : tissueSamples.get(0).getXrefs()) {
if ("DISEASE ONTOLOGY".equals(xref.getDatabaseName())) {
doid = xref.getDatabaseId();
}
}
assertEquals("not found", doid);
// import controlled vocabulary
jobExecution = executeJob("controlledVocabularyImporterJob");
assertEquals("COMPLETED", jobExecution.getExitStatus().getExitCode());
// we get some subject/observed subject roles
assertEquals("SubjectRole count", 18, dashboardDao.countEntities(SubjectRole.class).intValue());
assertEquals("ObservedSubjectRole count", 75, dashboardDao.countEntities(ObservedSubjectRole.class).intValue());
assertTrue("findObservedSubjectRole", dashboardDao.findObservedSubjectRole("broad_cpd_sens_lineage_enrich", "compound_name") != null);
// we get some evidence/observed evidence roles
assertEquals("countEntities EvidenceRole", 9, dashboardDao.countEntities(EvidenceRole.class).intValue());
assertEquals("countEntities ObservedEvidenceRole", 186, dashboardDao.countEntities(ObservedEvidenceRole.class).intValue());
assertTrue(dashboardDao.findObservedEvidenceRole("broad_cpd_sens_lineage_enrich", "cell_line_subset") != null);
// we get observation template data
assertEquals("countEntities ObservationTemplate", 25, dashboardDao.countEntities(ObservationTemplate.class).intValue());
ObservationTemplate observationTemplate = dashboardDao.findObservationTemplateByName("broad_cpd_sens_lineage_enrich");
assertNotNull(observationTemplate);
assertFalse(observationTemplate.getIsSubmissionStory());
assertEquals(0, observationTemplate.getSubmissionStoryRank().intValue());
observationTemplate = dashboardDao.findObservationTemplateByName("broad_beta-catenin_navitoclax");
assertNotNull(observationTemplate);
assertFalse(observationTemplate.getIsSubmissionStory());
assertEquals(0, observationTemplate.getSubmissionStoryRank().intValue());
// check compound xref import
compounds = dashboardDao.findCompoundsByName("navitoclax");
assertEquals(1, compounds.size());
String drugBankId = "not found";
for (Xref xref : compounds.get(0).getXrefs()) {
if ("DRUG BANK".equals(xref.getDatabaseName())) {
drugBankId = xref.getDatabaseId();
}
}
assertEquals("DB12340", drugBankId);
compoundSubjects = dashboardDao.findSubjectsByXref("DRUG BANK", "DB12025");
assertEquals(1, compoundSubjects.size());
}
use of gov.nih.nci.ctd2.dashboard.model.Compound in project nci-ctd2-dashboard by CBIIT.
the class CompoundsFieldSetMapper method mapFieldSet.
public Compound mapFieldSet(FieldSet fieldSet) throws BindException {
String compoundId = fieldSet.readString(CPD_ID);
String primaryName = fieldSet.readString(CPD_PRIMARY_NAME);
String smiles = fieldSet.readString(SMILES);
String structureFile = fieldSet.readString(STRUCTURE_FILE);
String pubchemCid = fieldSet.readString(PUBCHEM_CID);
String casNumber = fieldSet.readString(CAS_NUMBER);
Compound compound = dashboardFactory.create(Compound.class);
compound.setDisplayName(primaryName);
compound.setSmilesNotation(smiles);
// create synonym back to self
Synonym synonym = dashboardFactory.create(Synonym.class);
synonym.setDisplayName(primaryName);
compound.getSynonyms().add(synonym);
// create xref back to broad
Xref compoundXref = dashboardFactory.create(Xref.class);
compoundXref.setDatabaseId(compoundId);
compoundXref.setDatabaseName(BROAD_COMPOUND_DATABASE);
compound.getXrefs().add(compoundXref);
// create xref to structure file
Xref imageXref = dashboardFactory.create(Xref.class);
imageXref.setDatabaseId(structureFile);
imageXref.setDatabaseName(COMPOUND_IMAGE_DATABASE);
compound.getXrefs().add(imageXref);
// create xref to pubchem
if (pubchemCid != null && !pubchemCid.isEmpty()) {
Xref pubchemXref = dashboardFactory.create(Xref.class);
pubchemXref.setDatabaseId(pubchemCid);
pubchemXref.setDatabaseName(PUBCHEM_DATABASE);
compound.getXrefs().add(pubchemXref);
}
// create xref to cas
if (casNumber != null && !casNumber.isEmpty()) {
Xref casXref = dashboardFactory.create(Xref.class);
casXref.setDatabaseId(casNumber);
casXref.setDatabaseName(CAS_DATABASE);
compound.getXrefs().add(casXref);
}
// optimization - avoid persisting Compounds
// - place in map and pass to compoundSynonymsStep
compoundMap.put(compoundId, compound);
return compound;
}
use of gov.nih.nci.ctd2.dashboard.model.Compound in project nci-ctd2-dashboard by CBIIT.
the class DashboardAdminMain method main.
@Transactional
public static void main(String[] args) {
final CommandLineParser parser = new GnuParser();
Options gnuOptions = new Options();
gnuOptions.addOption("h", "help", false, "shows this help document and quits.").addOption("am", "animal-model-data", false, "imports animal model data.").addOption("cl", "cell-line-data", false, "imports cell line data.").addOption("cp", "compound-data", false, "imports compound data.").addOption("e", "eco-term", false, "import ECO terms.").addOption("g", "gene-data", false, "imports gene data.").addOption("p", "protein-data", false, "imports protein data.").addOption("r", "rank-subjects", false, "prioritize and rank the subjects according to the observation data.").addOption("sh", "shrna-data", false, "imports shrna data.").addOption("si", "sirna-data", false, "imports sirna data.").addOption("ts", "tissue-sample-data", false, "imports tissue sample data.").addOption("cv", "controlled-vocabulary", false, "imports the dashboard controlled vocabulary.").addOption("o", "observation-data", false, "imports dashboard observation data.").addOption("s", "sample-data", false, "imports sample data.").addOption("t", "taxonomy-data", false, "imports organism data.").addOption("i", "index", false, "creates lucene index.");
// Here goes the parsing attempt
try {
CommandLine commandLine = parser.parse(gnuOptions, args);
if (commandLine.getOptions().length == 0) {
// Here goes help message about running admin
throw new ParseException("Nothing to do!");
}
if (commandLine.hasOption("h")) {
printHelpAndExit(gnuOptions, 0);
}
if (commandLine.hasOption("am")) {
launchJob("animalModelImporterJob");
}
if (commandLine.hasOption("cl")) {
launchJob("cellLineDataImporterJob");
}
if (commandLine.hasOption("cp")) {
launchJob("compoundDataImporterJob");
}
if (commandLine.hasOption("g")) {
launchJob("geneDataImporterJob");
}
if (commandLine.hasOption("p")) {
launchJob("proteinDataImporterJob");
}
if (commandLine.hasOption("sh")) {
launchJob("TRCshRNADataImporterJob");
}
if (commandLine.hasOption("si")) {
launchJob("siRNADataImporterJob");
}
if (commandLine.hasOption("ts")) {
launchJob("tissueSampleDataImporterJob");
}
if (commandLine.hasOption("cv")) {
launchJob("controlledVocabularyImporterJob");
}
if (commandLine.hasOption("o")) {
launchJob("observationDataImporterJob");
String dataURL = (String) appContext.getBean("dataURL");
APIDataBuilder b = (APIDataBuilder) appContext.getBean("apiDataBuilder");
b.prepareData(dataURL);
}
if (commandLine.hasOption("s")) {
log.info("Running sample importer...");
// This is just for demonstration purposes
SampleImporter sampleImporter = (SampleImporter) appContext.getBean("sampleImporter");
sampleImporter.run();
}
if (commandLine.hasOption("t")) {
launchJob("taxonomyDataImporterJob");
}
if (commandLine.hasOption("e")) {
launchJob("ecotermDataImporterJob");
}
if (commandLine.hasOption("r")) {
SubjectScorer subjectScorer = (SubjectScorer) appContext.getBean("subjectScorer");
subjectScorer.scoreAllRoles();
OverallSummary overallSummary = (OverallSummary) appContext.getBean("overallSummary");
overallSummary.summarize();
}
if (commandLine.hasOption("i")) {
DashboardDao dashboardDao = (DashboardDao) appContext.getBean("dashboardDao");
dashboardDao.cleanIndex((Integer) appContext.getBean("indexBatchSize"));
}
log.info("All done.");
System.exit(0);
} catch (ParseException e) {
System.err.println(e.getMessage());
printHelpAndExit(gnuOptions, -1);
}
}
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