SlideShare uma empresa Scribd logo
1 de 21
OpenFlyData: the way to go for biological data integration Dr Jun Zhao Image Bioinformatics Research Group Department of Zoology University of Oxford
OpenFlyData Application ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
mRNA gene expression study ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
http://www.fly-ted.org.uk/509/
Use cases of gene expression data ,[object Object],[object Object],[object Object],[object Object]
Barriers for accessing these data ,[object Object],[object Object],[object Object]
OpenFlyData.org demonstration ,[object Object],[object Object],[object Object],[object Object]
System architecture SPARQL endpoint Web browser FlyUI application FlyUI widget HTTP Client side  SPARQL server (SPARQLite, Tomcat, Apache)‏ RDF cache (Jena TDB) ‏ FlyBase BDGP FlyTED FlyAtlas AffyMetrix Server side
SPARQL queries PREFIX chado: <http://purl.org/net/chado/schema> PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX xs: <http://www.w3.org/2001/XML_Schema#> SELECT ?flybaseID  WHERE { ?feature rdf:type chado:Feature ; chado:name “schuy”^^xs:string ; chado:uniquename ?flybaseID . } SELECT ?feature.uniquename AS flybaseID FROM feature WHERE feature.name = “schuy” SPARQL SQL
SPARQL protocol GET /query/flybase?query=[URL encoded query] HTTP/1.1   Host: openflydata.org   Accept: application/sparql-results+json   POST /query/flybase HTTP/1.1   Host: openflydata.org   Accept: application/sparql-results+json   Content-Type: application/x-www-form-urlencoded   Content-Length: 456   query=[URL encoded query] HTTP  GET HTTP POST
The data sources ,[object Object],[object Object],[object Object]
Creating RDF from data sources ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The heterogeneous Drosophila gene names DATA SOURCE POSSIBLE GENE IDENTIFIERS EXAMPLES FlyBase symbol schuy full name schumacher-levy annotation symbol CG17736 Unique FlyBase id FBgn0036925 Curated synonyms CG17736, schuy, etc BDGP FlyBase id FBgn0036925 Annotation symbol CG17736 FlyAtlas Affy microarray probe id 16166608_a_at FlyTED Uncontrolled gene name schuy, CG17736/schuy
Gene name mapping ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SPARQL server ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SPARQLite protocol ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Benefits of SW technologies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Costs & Risks ,[object Object],[object Object],[object Object]
Performance ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Future directions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Acknowledgements ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Mais conteúdo relacionado

Mais procurados

Federated Query Formulation and Processing Through BioFed
Federated Query Formulation and Processing Through BioFedFederated Query Formulation and Processing Through BioFed
Federated Query Formulation and Processing Through BioFedMuhammad Saleem
 
Bio ontologies and semantic technologies
Bio ontologies and semantic technologiesBio ontologies and semantic technologies
Bio ontologies and semantic technologiesProf. Wim Van Criekinge
 
HiBISCuS: Hypergraph-Based Source Selection for SPARQL Endpoint Federation
HiBISCuS: Hypergraph-Based Source Selection for SPARQL Endpoint FederationHiBISCuS: Hypergraph-Based Source Selection for SPARQL Endpoint Federation
HiBISCuS: Hypergraph-Based Source Selection for SPARQL Endpoint FederationMuhammad Saleem
 
2010 06 ipaw_prv
2010 06 ipaw_prv2010 06 ipaw_prv
2010 06 ipaw_prvJun Zhao
 
rdf query reformulation
rdf query reformulationrdf query reformulation
rdf query reformulationINRIA-OAK
 
SPARQL Query Forms
SPARQL Query FormsSPARQL Query Forms
SPARQL Query FormsLeigh Dodds
 
Bio ontologies and semantic technologies
Bio ontologies and semantic technologiesBio ontologies and semantic technologies
Bio ontologies and semantic technologiesProf. Wim Van Criekinge
 
FAIR Projector Builder
FAIR Projector BuilderFAIR Projector Builder
FAIR Projector BuilderMark Wilkinson
 
BioSolr - Searching the stuff of life - Lucene/Solr Revolution 2015
BioSolr - Searching the stuff of life - Lucene/Solr Revolution 2015BioSolr - Searching the stuff of life - Lucene/Solr Revolution 2015
BioSolr - Searching the stuff of life - Lucene/Solr Revolution 2015Charlie Hull
 
Stanford'12 Intro to Ontology Based Data Access for RDBMS through query rewri...
Stanford'12 Intro to Ontology Based Data Access for RDBMS through query rewri...Stanford'12 Intro to Ontology Based Data Access for RDBMS through query rewri...
Stanford'12 Intro to Ontology Based Data Access for RDBMS through query rewri...Mariano Rodriguez-Muro
 
How the Lucene More Like This Works
How the Lucene More Like This WorksHow the Lucene More Like This Works
How the Lucene More Like This WorksSease
 
Using Linked Data to Mine RDF from Wikipedia's Tables
Using Linked Data to Mine RDF from Wikipedia's TablesUsing Linked Data to Mine RDF from Wikipedia's Tables
Using Linked Data to Mine RDF from Wikipedia's Tables祺傑 林
 
ParlBench: a SPARQL-benchmark for electronic publishing applications.
ParlBench: a SPARQL-benchmark for electronic publishing applications.ParlBench: a SPARQL-benchmark for electronic publishing applications.
ParlBench: a SPARQL-benchmark for electronic publishing applications.Tatiana Tarasova
 
Ontology-based data access: why it is so cool!
Ontology-based data access: why it is so cool!Ontology-based data access: why it is so cool!
Ontology-based data access: why it is so cool!Josef Hardi
 

Mais procurados (20)

Federated Query Formulation and Processing Through BioFed
Federated Query Formulation and Processing Through BioFedFederated Query Formulation and Processing Through BioFed
Federated Query Formulation and Processing Through BioFed
 
Bio ontologies and semantic technologies
Bio ontologies and semantic technologiesBio ontologies and semantic technologies
Bio ontologies and semantic technologies
 
HiBISCuS: Hypergraph-Based Source Selection for SPARQL Endpoint Federation
HiBISCuS: Hypergraph-Based Source Selection for SPARQL Endpoint FederationHiBISCuS: Hypergraph-Based Source Selection for SPARQL Endpoint Federation
HiBISCuS: Hypergraph-Based Source Selection for SPARQL Endpoint Federation
 
Kibana: Real-World Examples
Kibana: Real-World ExamplesKibana: Real-World Examples
Kibana: Real-World Examples
 
2010 06 ipaw_prv
2010 06 ipaw_prv2010 06 ipaw_prv
2010 06 ipaw_prv
 
rdf query reformulation
rdf query reformulationrdf query reformulation
rdf query reformulation
 
SPARQL Query Forms
SPARQL Query FormsSPARQL Query Forms
SPARQL Query Forms
 
IR with lucene
IR with luceneIR with lucene
IR with lucene
 
Thinking restfully
Thinking restfullyThinking restfully
Thinking restfully
 
Bio ontologies and semantic technologies
Bio ontologies and semantic technologiesBio ontologies and semantic technologies
Bio ontologies and semantic technologies
 
FAIR Projector Builder
FAIR Projector BuilderFAIR Projector Builder
FAIR Projector Builder
 
2017 biological databases_part1_vupload
2017 biological databases_part1_vupload2017 biological databases_part1_vupload
2017 biological databases_part1_vupload
 
Linked Data Fragments
Linked Data FragmentsLinked Data Fragments
Linked Data Fragments
 
BioSolr - Searching the stuff of life - Lucene/Solr Revolution 2015
BioSolr - Searching the stuff of life - Lucene/Solr Revolution 2015BioSolr - Searching the stuff of life - Lucene/Solr Revolution 2015
BioSolr - Searching the stuff of life - Lucene/Solr Revolution 2015
 
Stanford'12 Intro to Ontology Based Data Access for RDBMS through query rewri...
Stanford'12 Intro to Ontology Based Data Access for RDBMS through query rewri...Stanford'12 Intro to Ontology Based Data Access for RDBMS through query rewri...
Stanford'12 Intro to Ontology Based Data Access for RDBMS through query rewri...
 
How the Lucene More Like This Works
How the Lucene More Like This WorksHow the Lucene More Like This Works
How the Lucene More Like This Works
 
Using Linked Data to Mine RDF from Wikipedia's Tables
Using Linked Data to Mine RDF from Wikipedia's TablesUsing Linked Data to Mine RDF from Wikipedia's Tables
Using Linked Data to Mine RDF from Wikipedia's Tables
 
ParlBench: a SPARQL-benchmark for electronic publishing applications.
ParlBench: a SPARQL-benchmark for electronic publishing applications.ParlBench: a SPARQL-benchmark for electronic publishing applications.
ParlBench: a SPARQL-benchmark for electronic publishing applications.
 
2016 02 23_biological_databases_part1
2016 02 23_biological_databases_part12016 02 23_biological_databases_part1
2016 02 23_biological_databases_part1
 
Ontology-based data access: why it is so cool!
Ontology-based data access: why it is so cool!Ontology-based data access: why it is so cool!
Ontology-based data access: why it is so cool!
 

Destaque

2012 04-ldow-prov
2012 04-ldow-prov2012 04-ldow-prov
2012 04-ldow-provJun Zhao
 
2012 05-swpm-provo
2012 05-swpm-provo2012 05-swpm-provo
2012 05-swpm-provoJun Zhao
 
Query-generation-for-provo-data-201406
Query-generation-for-provo-data-201406Query-generation-for-provo-data-201406
Query-generation-for-provo-data-201406Jun Zhao
 
2010 10 provxg_datagovuk
2010 10 provxg_datagovuk2010 10 provxg_datagovuk
2010 10 provxg_datagovukJun Zhao
 
Talk_linked_data_for_hcls_at_iswc2009
Talk_linked_data_for_hcls_at_iswc2009Talk_linked_data_for_hcls_at_iswc2009
Talk_linked_data_for_hcls_at_iswc2009Jun Zhao
 
2011 03-provenance-workshop-edingurgh
2011 03-provenance-workshop-edingurgh2011 03-provenance-workshop-edingurgh
2011 03-provenance-workshop-edingurghJun Zhao
 
Horeca in zwaar weer? Kansen zien en benutten!
Horeca in zwaar weer? Kansen zien en benutten!Horeca in zwaar weer? Kansen zien en benutten!
Horeca in zwaar weer? Kansen zien en benutten!yourGUEST
 
2010 05 edinburgh
2010 05 edinburgh2010 05 edinburgh
2010 05 edinburghJun Zhao
 
2009 09 Lod London
2009 09 Lod London2009 09 Lod London
2009 09 Lod LondonJun Zhao
 
WordPress Meetup Bandung - December 2014
WordPress Meetup Bandung - December 2014WordPress Meetup Bandung - December 2014
WordPress Meetup Bandung - December 2014Fikri Rasyid
 
Benefits of Blogging
Benefits of BloggingBenefits of Blogging
Benefits of BloggingFikri Rasyid
 
2010 06 rdf_next
2010 06 rdf_next2010 06 rdf_next
2010 06 rdf_nextJun Zhao
 

Destaque (12)

2012 04-ldow-prov
2012 04-ldow-prov2012 04-ldow-prov
2012 04-ldow-prov
 
2012 05-swpm-provo
2012 05-swpm-provo2012 05-swpm-provo
2012 05-swpm-provo
 
Query-generation-for-provo-data-201406
Query-generation-for-provo-data-201406Query-generation-for-provo-data-201406
Query-generation-for-provo-data-201406
 
2010 10 provxg_datagovuk
2010 10 provxg_datagovuk2010 10 provxg_datagovuk
2010 10 provxg_datagovuk
 
Talk_linked_data_for_hcls_at_iswc2009
Talk_linked_data_for_hcls_at_iswc2009Talk_linked_data_for_hcls_at_iswc2009
Talk_linked_data_for_hcls_at_iswc2009
 
2011 03-provenance-workshop-edingurgh
2011 03-provenance-workshop-edingurgh2011 03-provenance-workshop-edingurgh
2011 03-provenance-workshop-edingurgh
 
Horeca in zwaar weer? Kansen zien en benutten!
Horeca in zwaar weer? Kansen zien en benutten!Horeca in zwaar weer? Kansen zien en benutten!
Horeca in zwaar weer? Kansen zien en benutten!
 
2010 05 edinburgh
2010 05 edinburgh2010 05 edinburgh
2010 05 edinburgh
 
2009 09 Lod London
2009 09 Lod London2009 09 Lod London
2009 09 Lod London
 
WordPress Meetup Bandung - December 2014
WordPress Meetup Bandung - December 2014WordPress Meetup Bandung - December 2014
WordPress Meetup Bandung - December 2014
 
Benefits of Blogging
Benefits of BloggingBenefits of Blogging
Benefits of Blogging
 
2010 06 rdf_next
2010 06 rdf_next2010 06 rdf_next
2010 06 rdf_next
 

Semelhante a 2009 Dils Flyweb

Finding knowledge, data and answers on the Semantic Web
Finding knowledge, data and answers on the Semantic WebFinding knowledge, data and answers on the Semantic Web
Finding knowledge, data and answers on the Semantic Webebiquity
 
Querying data on the Web – client or server?
Querying data on the Web – client or server?Querying data on the Web – client or server?
Querying data on the Web – client or server?Ruben Verborgh
 
Building your own search engine with Apache Solr
Building your own search engine with Apache SolrBuilding your own search engine with Apache Solr
Building your own search engine with Apache SolrBiogeeks
 
Sustainable queryable access to Linked Data
Sustainable queryable access to Linked DataSustainable queryable access to Linked Data
Sustainable queryable access to Linked DataRuben Verborgh
 
Consuming Linked Data 4/5 Semtech2011
Consuming Linked Data 4/5 Semtech2011Consuming Linked Data 4/5 Semtech2011
Consuming Linked Data 4/5 Semtech2011Juan Sequeda
 
Datasets and tools_from_ncbi_and_elsewhere_for_microbiome_research_v_62817
Datasets and tools_from_ncbi_and_elsewhere_for_microbiome_research_v_62817Datasets and tools_from_ncbi_and_elsewhere_for_microbiome_research_v_62817
Datasets and tools_from_ncbi_and_elsewhere_for_microbiome_research_v_62817Ben Busby
 
SWT Lecture Session 4 - SW architectures and SPARQL
SWT Lecture Session 4 - SW architectures and SPARQLSWT Lecture Session 4 - SW architectures and SPARQL
SWT Lecture Session 4 - SW architectures and SPARQLMariano Rodriguez-Muro
 
ACS 248th Paper 146 VIVO/ScientistsDB Integration into Eureka
ACS 248th Paper 146 VIVO/ScientistsDB Integration into EurekaACS 248th Paper 146 VIVO/ScientistsDB Integration into Eureka
ACS 248th Paper 146 VIVO/ScientistsDB Integration into EurekaStuart Chalk
 
Deep dive into the native multi model database ArangoDB
Deep dive into the native multi model database ArangoDBDeep dive into the native multi model database ArangoDB
Deep dive into the native multi model database ArangoDBArangoDB Database
 
Web data from R
Web data from RWeb data from R
Web data from Rschamber
 
BioSamples Database Linked Data, SWAT4LS Tutorial
BioSamples Database Linked Data, SWAT4LS TutorialBioSamples Database Linked Data, SWAT4LS Tutorial
BioSamples Database Linked Data, SWAT4LS TutorialRothamsted Research, UK
 
RDF Stream Processing: Let's React
RDF Stream Processing: Let's ReactRDF Stream Processing: Let's React
RDF Stream Processing: Let's ReactJean-Paul Calbimonte
 
247th ACS Meeting: The Eureka Research Workbench
247th ACS Meeting: The Eureka Research Workbench247th ACS Meeting: The Eureka Research Workbench
247th ACS Meeting: The Eureka Research WorkbenchStuart Chalk
 
Semantic web meetup – sparql tutorial
Semantic web meetup – sparql tutorialSemantic web meetup – sparql tutorial
Semantic web meetup – sparql tutorialAdonisDamian
 
Toward Semantic Representation of Science in Electronic Laboratory Notebooks ...
Toward Semantic Representation of Science in Electronic Laboratory Notebooks ...Toward Semantic Representation of Science in Electronic Laboratory Notebooks ...
Toward Semantic Representation of Science in Electronic Laboratory Notebooks ...Stuart Chalk
 

Semelhante a 2009 Dils Flyweb (20)

Finding knowledge, data and answers on the Semantic Web
Finding knowledge, data and answers on the Semantic WebFinding knowledge, data and answers on the Semantic Web
Finding knowledge, data and answers on the Semantic Web
 
Querying data on the Web – client or server?
Querying data on the Web – client or server?Querying data on the Web – client or server?
Querying data on the Web – client or server?
 
Building your own search engine with Apache Solr
Building your own search engine with Apache SolrBuilding your own search engine with Apache Solr
Building your own search engine with Apache Solr
 
Sustainable queryable access to Linked Data
Sustainable queryable access to Linked DataSustainable queryable access to Linked Data
Sustainable queryable access to Linked Data
 
Consuming Linked Data 4/5 Semtech2011
Consuming Linked Data 4/5 Semtech2011Consuming Linked Data 4/5 Semtech2011
Consuming Linked Data 4/5 Semtech2011
 
Datasets and tools_from_ncbi_and_elsewhere_for_microbiome_research_v_62817
Datasets and tools_from_ncbi_and_elsewhere_for_microbiome_research_v_62817Datasets and tools_from_ncbi_and_elsewhere_for_microbiome_research_v_62817
Datasets and tools_from_ncbi_and_elsewhere_for_microbiome_research_v_62817
 
SWT Lecture Session 4 - SW architectures and SPARQL
SWT Lecture Session 4 - SW architectures and SPARQLSWT Lecture Session 4 - SW architectures and SPARQL
SWT Lecture Session 4 - SW architectures and SPARQL
 
Jena Programming
Jena ProgrammingJena Programming
Jena Programming
 
4 sw architectures and sparql
4 sw architectures and sparql4 sw architectures and sparql
4 sw architectures and sparql
 
BioSD Tutorial 2014 Editition
BioSD Tutorial 2014 EdititionBioSD Tutorial 2014 Editition
BioSD Tutorial 2014 Editition
 
ACS 248th Paper 146 VIVO/ScientistsDB Integration into Eureka
ACS 248th Paper 146 VIVO/ScientistsDB Integration into EurekaACS 248th Paper 146 VIVO/ScientistsDB Integration into Eureka
ACS 248th Paper 146 VIVO/ScientistsDB Integration into Eureka
 
Deep dive into the native multi model database ArangoDB
Deep dive into the native multi model database ArangoDBDeep dive into the native multi model database ArangoDB
Deep dive into the native multi model database ArangoDB
 
Web data from R
Web data from RWeb data from R
Web data from R
 
Chado introduction
Chado introductionChado introduction
Chado introduction
 
BioSamples Database Linked Data, SWAT4LS Tutorial
BioSamples Database Linked Data, SWAT4LS TutorialBioSamples Database Linked Data, SWAT4LS Tutorial
BioSamples Database Linked Data, SWAT4LS Tutorial
 
RDF Stream Processing: Let's React
RDF Stream Processing: Let's ReactRDF Stream Processing: Let's React
RDF Stream Processing: Let's React
 
Web Spa
Web SpaWeb Spa
Web Spa
 
247th ACS Meeting: The Eureka Research Workbench
247th ACS Meeting: The Eureka Research Workbench247th ACS Meeting: The Eureka Research Workbench
247th ACS Meeting: The Eureka Research Workbench
 
Semantic web meetup – sparql tutorial
Semantic web meetup – sparql tutorialSemantic web meetup – sparql tutorial
Semantic web meetup – sparql tutorial
 
Toward Semantic Representation of Science in Electronic Laboratory Notebooks ...
Toward Semantic Representation of Science in Electronic Laboratory Notebooks ...Toward Semantic Representation of Science in Electronic Laboratory Notebooks ...
Toward Semantic Representation of Science in Electronic Laboratory Notebooks ...
 

Mais de Jun Zhao

Www sociam-2016-policy-reviews
Www sociam-2016-policy-reviewsWww sociam-2016-policy-reviews
Www sociam-2016-policy-reviewsJun Zhao
 
2011 03-provenance-workshop-edingurgh
2011 03-provenance-workshop-edingurgh2011 03-provenance-workshop-edingurgh
2011 03-provenance-workshop-edingurghJun Zhao
 
2010 09 opm_tutorial_02-jun-opmv
2010 09 opm_tutorial_02-jun-opmv2010 09 opm_tutorial_02-jun-opmv
2010 09 opm_tutorial_02-jun-opmvJun Zhao
 
2010 09 opm_tutorial_01-jun-usecase-datagovuk
2010 09 opm_tutorial_01-jun-usecase-datagovuk2010 09 opm_tutorial_01-jun-usecase-datagovuk
2010 09 opm_tutorial_01-jun-usecase-datagovukJun Zhao
 
myExperiment and AIDA
myExperiment and AIDAmyExperiment and AIDA
myExperiment and AIDAJun Zhao
 
2008 Jun Zhao Eswc
2008 Jun Zhao Eswc2008 Jun Zhao Eswc
2008 Jun Zhao EswcJun Zhao
 
2008 04 22 Jun Zhao Ldow
2008 04 22 Jun Zhao Ldow2008 04 22 Jun Zhao Ldow
2008 04 22 Jun Zhao LdowJun Zhao
 

Mais de Jun Zhao (7)

Www sociam-2016-policy-reviews
Www sociam-2016-policy-reviewsWww sociam-2016-policy-reviews
Www sociam-2016-policy-reviews
 
2011 03-provenance-workshop-edingurgh
2011 03-provenance-workshop-edingurgh2011 03-provenance-workshop-edingurgh
2011 03-provenance-workshop-edingurgh
 
2010 09 opm_tutorial_02-jun-opmv
2010 09 opm_tutorial_02-jun-opmv2010 09 opm_tutorial_02-jun-opmv
2010 09 opm_tutorial_02-jun-opmv
 
2010 09 opm_tutorial_01-jun-usecase-datagovuk
2010 09 opm_tutorial_01-jun-usecase-datagovuk2010 09 opm_tutorial_01-jun-usecase-datagovuk
2010 09 opm_tutorial_01-jun-usecase-datagovuk
 
myExperiment and AIDA
myExperiment and AIDAmyExperiment and AIDA
myExperiment and AIDA
 
2008 Jun Zhao Eswc
2008 Jun Zhao Eswc2008 Jun Zhao Eswc
2008 Jun Zhao Eswc
 
2008 04 22 Jun Zhao Ldow
2008 04 22 Jun Zhao Ldow2008 04 22 Jun Zhao Ldow
2008 04 22 Jun Zhao Ldow
 

Último

Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Paola De la Torre
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024Results
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhisoniya singh
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...HostedbyConfluent
 
Google AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAGGoogle AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAGSujit Pal
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 

Último (20)

Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
 
Google AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAGGoogle AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAG
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 

2009 Dils Flyweb

  • 1. OpenFlyData: the way to go for biological data integration Dr Jun Zhao Image Bioinformatics Research Group Department of Zoology University of Oxford
  • 2.
  • 3.
  • 5.
  • 6.
  • 7.
  • 8. System architecture SPARQL endpoint Web browser FlyUI application FlyUI widget HTTP Client side SPARQL server (SPARQLite, Tomcat, Apache)‏ RDF cache (Jena TDB) ‏ FlyBase BDGP FlyTED FlyAtlas AffyMetrix Server side
  • 9. SPARQL queries PREFIX chado: <http://purl.org/net/chado/schema> PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX xs: <http://www.w3.org/2001/XML_Schema#> SELECT ?flybaseID WHERE { ?feature rdf:type chado:Feature ; chado:name “schuy”^^xs:string ; chado:uniquename ?flybaseID . } SELECT ?feature.uniquename AS flybaseID FROM feature WHERE feature.name = “schuy” SPARQL SQL
  • 10. SPARQL protocol GET /query/flybase?query=[URL encoded query] HTTP/1.1 Host: openflydata.org Accept: application/sparql-results+json POST /query/flybase HTTP/1.1 Host: openflydata.org Accept: application/sparql-results+json Content-Type: application/x-www-form-urlencoded Content-Length: 456 query=[URL encoded query] HTTP GET HTTP POST
  • 11.
  • 12.
  • 13. The heterogeneous Drosophila gene names DATA SOURCE POSSIBLE GENE IDENTIFIERS EXAMPLES FlyBase symbol schuy full name schumacher-levy annotation symbol CG17736 Unique FlyBase id FBgn0036925 Curated synonyms CG17736, schuy, etc BDGP FlyBase id FBgn0036925 Annotation symbol CG17736 FlyAtlas Affy microarray probe id 16166608_a_at FlyTED Uncontrolled gene name schuy, CG17736/schuy
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.

Notas do Editor

  1. Primary_spermatocyte Cup-like_pattern_of_distal_end_of_elongating_spermatids Gene Name: CG30044 GG Gene Name: CG30044 Slide Name: CG30044-mip40 Strain: wt Apical Signals: off Expression Location: Primary_spermatocyte Cup-like_pattern_of_distal_end_of_elongating_spermatids
  2. Note that the thumbnail images are retrieved from the original web sites
  3. FlyUI: a library of Javascript widgets as front ends to SPARQL data sources Built on Yahoo User Interface (YUI) library Widgets are composed in a browser to create the complete application Each widget provides: A Service that implements SPARQL queries A Model encapsulating SPARQL query results A Renderer
  4. Initially hoped to use D2R server&apos;s SPARQL query rewriting, but some queries would kill the server, so went for SPARQLite alternative Different techniques for generating RDF applied to different kinds of data source Resulting RDF is loaded into the Jena TDB triple store.
  5. This is mostly based on available off-the-shelf software Choice of triple store is influenced significantly by speed of loading ~10 million triples Also performed some experiments with OpenLink Virtuoso – performance looks pretty good Amazon EC2/EBS has worked well for us