This initial implementation has now been archived - please refer to the phenopacket-schema repository for the current implementation.
This project provides a reference java implementation for the Phenotype eXchange Format (PXF). Jackson annotations are used to describe the mapping to the JSON serialization of PXF. We are also experimenting with generating the JSON Schema from the reference implementation.
See phenopacket-format repo and the src/test/resources package of this repo for examples of the serialised JSON and YAML formats. The phenopacket-format repo wiki contains more details on the project in general.
<dependency>
<groupId>org.phenopackets</groupId>
<artifactId>phenopackets-api</artifactId>
<version>${project.version}</version>
</dependency>compile 'org.phenopackets:phenopackets-api:${project.version}'When developing against an unreleased snapshot version of the API, you can use Maven to install it in your local m2 repository:
mvn -Dgpg.skip install
Most of these examples have been taken from the test package.
Check there for more thorough examples.
This diagram shows the object model:
PhenoPacketphenoPacket = YamlReader.readFile("phenopacket.yaml");Where possible the Builder pattern is used to provide a fluent API for building objects and create immutable instances. The PhenoPacket class is immutable, although instances of classes from the org.phenopackets.api.model.condition and org.phenopackets.api.model.entity package are not.
PhenoPacketphenoPacket = PhenoPacket.newBuilder()
.id("PXF:000001")
.title("Empty phenopacket")
.build();Entities refer to things such as individuals of an organism/people, variants or diseases. For example here is a new Person:
Personperson = newPerson();
person.setId("person#1");
person.setLabel("Joe Bloggs");
person.setSex("M");here is the disease Pfeiffer syndrome
Diseasedisease = newDisease();
disease.setId("OMIM:101600");
disease.setLabel("Pfeiffer syndrome");
disease.setTypes(ImmutableList.of(
OntologyClass.of("EFO:0000508", "genetic disorder")
));A Condition is usually defined with a phenotype, location, time of onset/offset the severity and the environment in which this condition was observed. A condition could simply be a phenotype - here is one from the HPO, with a negative type too (i.e. this was tested for and not observed).
Phenotypephenotype = newPhenotype();
phenotype.setTypes(ImmutableList.of(
OntologyClass.of("HP:0000272", "Malar flattening")
));
phenotype.setNegatedTypes(ImmutableList.of(
OntologyClass.of("HP:0001249", "Intellectual disability")
));or an occurrence of a disease
DiseaseOccurrencediseaseOccurrence = newDiseaseOccurrence();
DiseaseStagestage = newDiseaseStage();
stage.setDescription("Childhood onset");
stage.setTypes(ImmutableList.of(
OntologyClass.of("HP:0011463", "Childhood onset")
));
diseaseOccurrence.setStage(stage);and a disease phenotype
PhenotypediseasePhenotype = newPhenotype();
diseasePhenotype.setTypes(ImmutableList.of(
OntologyClass.of("HP:0000272", "Malar flattening"),
OntologyClass.of("HP:0005347", "Cartilaginous trachea"),
OntologyClass.of("HP:0001249", "Intellectual disability"),
OntologyClass.of("HP:0005048", "Synostosis of carpal bones"),
OntologyClass.of("HP:0004440", "Coronal craniosynostosis"),
OntologyClass.of("HP:0001156", "Brachydactyly syndrome")
));Typically an observation is accompanied with some kind of evidence attribution - here we have a journal
EvidencejournalEvidence = newEvidence();
journalEvidence.setTypes(ImmutableList.of(OntologyClass.of("ECO:0000033", "TAS")));
Publicationpub = newPublication.Builder().setId("PMID:23455423").build();
journalEvidence.setSupportingPublications(ImmutableList.of(pub));Entities can have associated Conditions.Entities and Conditions are linked by an Association. Associations are also immutable objects which use a Builder.
Here we're going to associate the phenotype with the person from the previous examples.
PhenotypeAssociationpatientPhenotypeAssociation = newPhenotypeAssociation.Builder(phenotype)
.setEntity(person)
.addEvidence(journalEvidence)
.build();and the Disease with the DiseaseAssociation
DiseaseOccurrenceAssociationdiseaseOccurrenceAssociation = newDiseaseOccurrenceAssociation.Builder(diseaseOccurrence)
.setEntity(disease)
.build();and the typically observed phenotypes for this disease
PhenotypeAssociationdiseasePhenotypeAssociation = newPhenotypeAssociation.Builder(diseasePhenotype)
.setEntity(disease)
.build();Using the API it s now trivial to create a phenopacket containing the person and their observed phenotype.
PhenoPacketpk = PhenoPacket.newBuilder()
.id(id)
.title("Patient with a phenotype")
.addPerson(person)
.addPhenotypeAssociation(patientPhenotypeAssociation)
.build();or a disease as characterised by its associated phenotypes and its time of onset
PhenoPacketpk = PhenoPacket.newBuilder()
.id(id)
.title("Description of a disease its phenotype and time of onset")
.addDisease(disease)
.addDiseaseOccurrenceAssociation(diseaseOccurrenceAssociation)
.addPhenotypeAssociation(diseasePhenotypeAssociation)
.build();PhenoPacketphenoPacket ...
StringyamlString = YamlGenerator.render(phenoPacket);