nih nci itcr annual pi meeting · presentation outline • omnisearch is a semantic integration and...
TRANSCRIPT
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Presentedby:JingshanHuangBiomedicalInformaticsGroupUniversityofSouthAlabama
NIHNCIITCRAnnualPIMeeting
UniversityofCalifornia,SantaCruz,May31– June2,2017
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• Projectoverview
• Progressreport
• Softwareevaluation
PresentationOutline
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• OmniSearchisasemanticintegrationandsearchsoftwaretoolspecificallydesignedformicroRNA(miR)cancerresearch
• ItwillassistcancerresearchersinunravelingcriticalrolesofmiRregulationsinhumancancers
• Targetedusers:cancerbiologists,bioinformaticians,andclinicalinvestigators
• OmniSearchcanbeusedtoobtainunifiedknowledgerelatedtomiRregulationmechanismsandthusderiveuniqueinsightsfortheregulationandcontrolofcancerdiseaseprocesses
ProjectOverview
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ResearchMotivation
Atypicalworkflowdemonstratingcurrentsearchapproachesadoptedbymanycancerresearchers
Notion:manualintegrationofinformationfromheterogeneoussourceshasbecomelabor-intensiveanderror-prone
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ProposedSolution
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ProjectTimeline
ProjectActivities MilestonesbytheEndofEachYear
Y1· Startontologydevelopment· Startdataannotation&integration
· InitialversionofOMITontologies· “KeyPhraseExtraction”&“OntologyMapping”modules
Y2· Continueontologydevelopment· Continuedataannotation&integration
· StableversionofOMITontologies· Newterminologycontributedtobio-ontologycommunity· Othersoftwaremodules;initialOmniSearchpackage
Y3
· DesignafriendlysemanticsearchGUI· Developusecasesandevaluating
queries· Conductiterativesystemevaluation· Integratefeedbackfromthecommunity
· FinalversionofOMITontologiesandOmniSearchpackage· AcomprehensivemiRNAKBunifiedfromnumerous
sources· Asetofsemanticsearchevaluatingqueries· Acollectionofformativeevaluationreports· Afinal,summativeevaluationreport
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ProjectTimeline
• OMIT:OBOFoundry/NCBOBioPortal/GitHub• OmniSearch:Browser-based/GitHub• KB:400millionRDFtriples• 115evaluatingqueries
ProjectActivities MilestonesbytheEndofEachYear
Y1· Startontologydevelopment· Startdataannotation&integration
· InitialversionofOMITontologies· “KeyPhraseExtraction”&“OntologyMapping”modules
Y2· Continueontologydevelopment· Continuedataannotation&integration
· StableversionofOMITontologies· Newterminologycontributedtobio-ontologycommunity· Othersoftwaremodules;initialOmniSearchpackage
Y3
· DesignafriendlysemanticsearchGUI· Developevaluatingqueries· Conductiterative systemevaluation· Integratefeedbackfromthecommunity
· FinalversionofOMITontologiesandOmniSearchpackage· AcomprehensivemiRNAKBunifiedfromnumerous
sources· Asetofsemanticsearchevaluatingqueries· Acollectionofformativeevaluationreports· Afinal,summativeevaluationreport
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ProjectTimeline
ProjectActivities MilestonesbytheEndofEachYear
Y1· Startontologydevelopment· Startdataannotation&integration
· InitialversionofOMITontologies· “KeyPhraseExtraction”&“OntologyMapping”modules
Y2· Continueontologydevelopment· Continuedataannotation&integration
· StableversionofOMITontologies· Newterminologycontributedtobio-ontologycommunity· Othersoftwaremodules;initialOmniSearchpackage
Y3
· DesignafriendlysemanticsearchGUI· Developevaluatingqueries· Conductiterative systemevaluation· Integratefeedbackfromthecommunity
· FinalversionofOMITontologiesandOmniSearchpackage· AcomprehensivemiRNAKBunifiedfromnumerous
sources· Asetofsemanticsearchevaluatingqueries· Acollectionofformativeevaluationreports· Afinal,summativeevaluationreport
Y4· Conductiterative systemevaluation· Integratefeedbackfromthecommunity
· Acollectionofformativeevaluationreports· Afinal,summativeevaluationreport
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ProjectDissemination
• Collaborating with a wide range of bio-ontology community:Gene Ontology (GO), Sequence Ontology (SO), PRotein Ontology (PRO), Chemical Entities of Biological Interest Ontology (CHEBI), Ontology for Biomedical Investigations (OBI), and Uber Anatomy Ontology (UBERON)
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ProjectDissemination
• Collaborating with a wide range of bio-ontology community:Gene Ontology (GO), Sequence Ontology (SO), PRotein Ontology (PRO), Chemical Entities of Biological Interest Ontology (CHEBI), Ontology for Biomedical Investigations (OBI), and Uber Anatomy Ontology (UBERON)
• OBO Foundry: http://www.obofoundry.org/ontology/omit.html• NCBO BioPortal: https://bioportal.bioontology.org/ontologies/OMIT• Project wiki site: http://omnisearch.soc.southalabama.edu/• GitHub: https://github.com/OmniSearch
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ProjectDissemination
• Collaborating with a wide range of bio-ontology community:Gene Ontology (GO), Sequence Ontology (SO), PRotein Ontology (PRO), Chemical Entities of Biological Interest Ontology (CHEBI), Ontology for Biomedical Investigations (OBI), and Uber Anatomy Ontology (UBERON)
• OBO Foundry: http://www.obofoundry.org/ontology/omit.html• NCBO BioPortal: https://bioportal.bioontology.org/ontologies/OMIT• Project wiki site: http://omnisearch.soc.southalabama.edu/• GitHub: https://github.com/OmniSearch
• GUI Tutorial on YouTube: https://www.youtube.com/watch?v=kCFm4YkNvEg
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SoftwareInterface(1)
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SoftwareInterface(2)
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Wiki-StyleProjectSite
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EvaluationviaGoogleDocs
• Atotalof121evaluators
• From19institutionsnationwide
Signing-upsheetfororganizers:
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EvaluationviaGoogleDocs
https://docs.google.com/document/d/12TFKAV7Mn0BEYfPnI_DL-4S8Hmjedes63H8GKqliuS0/
https://docs.google.com/document/d/1binpkOzsHYzk2gk2UDwOI2o-jaOEdD4qgr4cZil_sYk/pub
Instructionsforevaluators:
Evaluatingqueries:
Questionnaireforevaluators:
Softwaretutorial:https://www.youtube.com/watch?v=kCFm4YkNvEg
https://docs.google.com/forms/d/e/1FAIpQLScQ377s0DL4LYSAujtq0OyIAvEYTE5SGrsNAZ5rP72TtnTV2w/viewform
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EvaluationviaGoogleDocs
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EvaluationviaGoogleDocs
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EvaluationviaGoogleDocs
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EvaluationviaGoogleDocs
Promisingevaluationoutcomes
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EvaluationviaGoogleDocs
Promisingevaluationoutcomes
(1)Softwareeffectivenessandaccuracyonaverage,thecorrectnessandcompletenessofsearchresultswere89%and77%,respectively
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EvaluationviaGoogleDocs
Promisingevaluationoutcomes
(1)Softwareeffectivenessandaccuracyonaverage,thecorrectnessandcompletenessofsearchresultswere89%and77%,respectively
(2)Softwareefficiencythesavedhumanlaborwasaveragedat63%
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EvaluationviaGoogleDocs
Promisingevaluationoutcomes
(1)Softwareeffectivenessandaccuracyonaverage,thecorrectnessandcompletenessofsearchresultswere93%and87%,respectively
(2)Softwareefficiencythesavedhumanlaborwasaveragedat63%
(3)Softwarefriendlinessandusability47%ofusersratedthesoftwaretoolas“easiestandmoststraightforward”(i.e.,ascaleof5outof5);altogether71%ofusersratedascaleof4oraboveoutof5
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RecentPublications
So far, a total of 15 joint publications in the OmniSearch project
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RecentPublications
So far, a total of 15 joint publications in the OmniSearch project
In Project Year 3, we had seven joint publications
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RecentPublications
So far, a total of 15 joint publications in the OmniSearch project
In Project Year 3, we had seven joint publications7)L. Zhang, R. Li, J. He, Q. Yang, Y. Wu, J. Huang, and B. Wu, “Co-expression analysis among microRNAs, long non-coding RNAs,and messenger RNAs to understand the pathogenesis and progression of diabetic kidney disease at the genetic level,” (in press) J.Methods. Special Issue: Integrative Analysis of Omics Data, (2017).
6)J. Huang, G.M. Borchert, D. Dou, J. Huan, W. Lan, M. Tan, and B. Wu, editors, Bioinformatics in microRNA research, (in press)Springer series of Methods in Molecular Biology (2017).
5)J. Huang, D. Dou, J. She, A.H. Limper, Y. Yang, and P. Yang, “A comprehensive (biological and computational) investigation on therole of microRNA::mRNA regulations performed in chronic obstructive pulmonary disease and lung cancer,” Proc. 2016 IEEEInternational Conference on Bioinformatics and Biomedicine (BIBM-16), pp. 1067-1072, Dec. (2016).
4)L. Zhang, R. Li, Q. Yang, Y. Wu, J. Huang, and B. Wu, “Innovative microRNA-lncRNA-mRNA co-expression analysis to understandthe pathogenesis and progression of diabetic kidney disease,” Proc. 2016 IEEE International Conference on Bioinformatics andBiomedicine (BIBM-16), pp. 688-693, Dec. (2016).
3)J. Huang, B. Liu, Y. Liu, and J. Chen, “The utilization of the OmniSearch semantic search tool to explore various microRNAregulation mechanisms in osteoarthritis,” Proc. 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM-16), pp.1073-1078, Dec. (2016).
2)J. Huang, F. Gutierrez, H. Strachan, D. Dou, W. Huang, B. Smith, J.A. Blake, K. Eilbeck, D.A. Natale, Y. Lin, B. Wu, N. de Silva, X. Wang,Z. Liu, G.M. Borchert, M. Tan, and A. Ruttenberg, “OmniSearch: A semantic search system based on the Ontology for MIcroRNATarget (OMIT) for microRNA-target gene interaction data,” J Biomed Semantics., 2016 May 10;7:25. doi: 10.1186/s13326-016-0064-2.eCollection 2016. PubMed PMID: 27175225; PubMed Central PMCID: PMC4863347 (2016).
1)J. Huang, K. Eilbeck, B. Smith, J.A. Blake, D. Dou, W. Huang, D.A. Natale, A. Ruttenberg, J. Huan, M.T. Zimmermann, G. Jiang, Y. Lin, B.Wu, H. Strachan, Y. He, S. Zhang, X. Wang, Z. Liu, G.M. Borchert, and M. Tan, “The Non-Coding RNA Ontology (NCRO): Acomprehensive resource for the unification of non-coding RNA biology,” J Biomed Semantics., 2016 May 4;7:24. doi: 10.1186/s13326-016-0066-0. eCollection 2016. PubMed PMID: 27152146; PubMed Central PMCID: PMC4857245 (2016).
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Acknowledgements
• NIH NCI ITCR Initiative
• University of South Alabama Team
• University of Oregon Team
• University of Buffalo – SUNY Team
• Gene Ontology
• Sequence Ontology
• PRotein Ontology
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THANKS!
?Questions?