SlideShare ist ein Scribd-Unternehmen logo
1 von 17
Downloaden Sie, um offline zu lesen
CDAO-STORE:
A New Vision for Data Integration



Brandon Chisham, Trung Le, Enrico Pontelli,
          Tran Son, Ben Wright


               IEvoBio 2010
               Portland, OR
CDAO

    Comparative Data Analysis Ontology
    
        Provides semantics to the descriptions of data
        commonly found in the domain of phylogenetic
        inference.
    
        Enables the rigorous description of phylogenetic
        trees and associated character data matrices.
What We Did

    CDAO-Store
    
        A repository providing a rich set of API's for
        querying phyloinformatics data.

    CDAO-Explorer
    
        A visualization tool for viewing data sets stored in
        the repository.
CDAO-Store Repository

    What's in it?
    
        TreeBASE dump dated January 2009
    
        Also allows the importation of CDAO formatted files.
        −  To get your files into CDAO, we can translate
           NEXUS, PHYLIP, and MEGA into CDAO format.
    
        Files can be exported in RDF/XML using CDAO
        terms
Querying CDAO-Store

    PhyloWS
    
        Retrieve data sets via name, tree identifier, taxon,
        or size.
    
        Supports computing the minimum spanning clade or
        the nearest common ancestor of a set of taxa.

    Web-Based
    
        Search for data sets by author or study
    
        View data sets online by tree, taxon, algorithm,
        method, or size.
Web-Based Queries
•   Landing page for
    web-queries.
Trees Containing a Taxonomic Unit
•   Shows a list of trees
    matching the
    Taxonomic Unit
•   Has links to query
    these trees or View
    them graphically
Tree Query
•   Shows a listing of
    nodes in the tree.
•   Allows user to select
    any set of them to
    find their minimum
    spanning clade, or
    Nearest Common
    Ancestor
Searching by Author
•   List studies from a
    particular author.
Study Detail
•   Lists all authors,
    with links to their
    studies.
•   Abstract
•   Trees associated
    with the study.
•   Future: Matrices the
    data is available in
    the system but not
    exposed to the user.
Searching by Algorithm or Method
•    Can search by
     Algorithm or Method
•    As before listing
     shows tree name
     and links to query
     the tree or view it.
Visualization with CDAO-Explorer

    CDAO-Explorer
    
        Tree Viewer
    
        Matrix Viewer
Tree Viewer

    Uses the Prefuse
    framework

    2 Layouts, “Force
    Layout” and “Node
    Layout”

    Can search by
    node/edge name

    View details of nodes
    or edges

    Can save as jpg or
    png
Matrix Viewer

    Custom built

    Color-coded cells

    Extract or 'crop' parts
    of the Matrix for
    closer views

    Zoom in and out of
    the matrix

    Annotation support in
    development.
Conclusion

    The CDAO-store tool set provides a robust
    foundation for a semantically aware, phylogeny
    resource

    The CDAO-Explorer portion of the store has
    achieved a good base-line functionality and
    provides a set of useful features to advance the
    current state of visualization of large data sets
    in this field.
Future

    Annotations / MIAPA / OBI

    User-defined SPARQL Queries

    Better Tree / Matrix integration

    Ambiguous Name Resolution (at taxon, tree,
    and study levels)

    Integrating other stores besides TreeBASE
Questions?

    Find us at:
    
        http://www.cs.nmsu.edu/~cdaostore
    
        http://cdaotools.sourceforge.net
    
        http://www.twitter.com/cdaotools

    Funding for this project provided by:
    
        NSF CREST grant HRD-0420407
    
        NSF IGERT grant DGE-0504304

    Additional Support provided by:
    
        NESCent
    
        NMSU
    
        CDAO Development Team

Weitere ähnliche Inhalte

Was ist angesagt?

Database in bioinformatics
Database in bioinformaticsDatabase in bioinformatics
Database in bioinformaticsVinaKhan1
 
Applied systems
Applied systemsApplied systems
Applied systemsyuarchu
 
How to describe a dataset. Interoperability issues
How to describe a dataset. Interoperability issuesHow to describe a dataset. Interoperability issues
How to describe a dataset. Interoperability issuesValeria Pesce
 
EDI Training Module 4: Organizing Data Into Publishable Units
EDI Training Module 4: Organizing Data Into Publishable UnitsEDI Training Module 4: Organizing Data Into Publishable Units
EDI Training Module 4: Organizing Data Into Publishable UnitsEnvironmental Data Initiative
 
Dataset description: DCAT and other vocabularies
Dataset description: DCAT and other vocabulariesDataset description: DCAT and other vocabularies
Dataset description: DCAT and other vocabulariesValeria Pesce
 
EDI Training Module 12: An Introduction to Metadata and Data Repositories
EDI Training Module 12:  An Introduction to Metadata and Data RepositoriesEDI Training Module 12:  An Introduction to Metadata and Data Repositories
EDI Training Module 12: An Introduction to Metadata and Data RepositoriesEnvironmental Data Initiative
 
Data curation issues for repositories
Data curation issues for repositoriesData curation issues for repositories
Data curation issues for repositoriesChris Rusbridge
 
HDL - Towards A Harmonized Dataset Model for Open Data Portals
HDL - Towards A Harmonized Dataset Model for Open Data PortalsHDL - Towards A Harmonized Dataset Model for Open Data Portals
HDL - Towards A Harmonized Dataset Model for Open Data PortalsAhmad Assaf
 
Jen Ferguson "A tale of two projects"
Jen Ferguson "A tale of two projects"Jen Ferguson "A tale of two projects"
Jen Ferguson "A tale of two projects"The TMC Library
 
Knowledge Discovery in an Agents Environment
Knowledge Discovery in an Agents EnvironmentKnowledge Discovery in an Agents Environment
Knowledge Discovery in an Agents EnvironmentManjulaPatel
 
The eCrystals Federation
The eCrystals FederationThe eCrystals Federation
The eCrystals FederationManjulaPatel
 
Metadata lecture(9 17-14)
Metadata lecture(9 17-14)Metadata lecture(9 17-14)
Metadata lecture(9 17-14)mhb120
 
Integrated research data management in the Structural Sciences
Integrated research data management in the Structural SciencesIntegrated research data management in the Structural Sciences
Integrated research data management in the Structural SciencesManjulaPatel
 
Pharmacoinformatics Database basics(sree)
Pharmacoinformatics Database basics(sree)Pharmacoinformatics Database basics(sree)
Pharmacoinformatics Database basics(sree)Sreekanth Gali
 
Data retreival system
Data retreival systemData retreival system
Data retreival systemShikha Thakur
 

Was ist angesagt? (19)

Database in bioinformatics
Database in bioinformaticsDatabase in bioinformatics
Database in bioinformatics
 
Applied systems
Applied systemsApplied systems
Applied systems
 
Datasets with bioschemas
Datasets with bioschemasDatasets with bioschemas
Datasets with bioschemas
 
Good Practice in Research Data Management
Good Practice in Research Data ManagementGood Practice in Research Data Management
Good Practice in Research Data Management
 
How to describe a dataset. Interoperability issues
How to describe a dataset. Interoperability issuesHow to describe a dataset. Interoperability issues
How to describe a dataset. Interoperability issues
 
EDI Training Module 4: Organizing Data Into Publishable Units
EDI Training Module 4: Organizing Data Into Publishable UnitsEDI Training Module 4: Organizing Data Into Publishable Units
EDI Training Module 4: Organizing Data Into Publishable Units
 
Dataset description: DCAT and other vocabularies
Dataset description: DCAT and other vocabulariesDataset description: DCAT and other vocabularies
Dataset description: DCAT and other vocabularies
 
EDI Training Module 12: An Introduction to Metadata and Data Repositories
EDI Training Module 12:  An Introduction to Metadata and Data RepositoriesEDI Training Module 12:  An Introduction to Metadata and Data Repositories
EDI Training Module 12: An Introduction to Metadata and Data Repositories
 
Major databases in bioinformatics
Major databases in bioinformaticsMajor databases in bioinformatics
Major databases in bioinformatics
 
Data curation issues for repositories
Data curation issues for repositoriesData curation issues for repositories
Data curation issues for repositories
 
HDL - Towards A Harmonized Dataset Model for Open Data Portals
HDL - Towards A Harmonized Dataset Model for Open Data PortalsHDL - Towards A Harmonized Dataset Model for Open Data Portals
HDL - Towards A Harmonized Dataset Model for Open Data Portals
 
Jen Ferguson "A tale of two projects"
Jen Ferguson "A tale of two projects"Jen Ferguson "A tale of two projects"
Jen Ferguson "A tale of two projects"
 
Data retrieval tools
Data retrieval toolsData retrieval tools
Data retrieval tools
 
Knowledge Discovery in an Agents Environment
Knowledge Discovery in an Agents EnvironmentKnowledge Discovery in an Agents Environment
Knowledge Discovery in an Agents Environment
 
The eCrystals Federation
The eCrystals FederationThe eCrystals Federation
The eCrystals Federation
 
Metadata lecture(9 17-14)
Metadata lecture(9 17-14)Metadata lecture(9 17-14)
Metadata lecture(9 17-14)
 
Integrated research data management in the Structural Sciences
Integrated research data management in the Structural SciencesIntegrated research data management in the Structural Sciences
Integrated research data management in the Structural Sciences
 
Pharmacoinformatics Database basics(sree)
Pharmacoinformatics Database basics(sree)Pharmacoinformatics Database basics(sree)
Pharmacoinformatics Database basics(sree)
 
Data retreival system
Data retreival systemData retreival system
Data retreival system
 

Andere mochten auch

iPhoneのオモチャ箱 - 刊行記念イベント@ジュンク堂新宿 - バスケ
iPhoneのオモチャ箱 - 刊行記念イベント@ジュンク堂新宿 - バスケiPhoneのオモチャ箱 - 刊行記念イベント@ジュンク堂新宿 - バスケ
iPhoneのオモチャ箱 - 刊行記念イベント@ジュンク堂新宿 - バスケBasuke Suzuki
 
Introducción- Clase Nº1- Prof. Julian Drault- Fecha 24-06-2010
Introducción- Clase Nº1- Prof. Julian Drault- Fecha 24-06-2010Introducción- Clase Nº1- Prof. Julian Drault- Fecha 24-06-2010
Introducción- Clase Nº1- Prof. Julian Drault- Fecha 24-06-2010ProgramaEjecutivo II
 
Android community which takes a lead in the virtuous cycle structure establis...
Android community which takes a lead in the virtuous cycle structure establis...Android community which takes a lead in the virtuous cycle structure establis...
Android community which takes a lead in the virtuous cycle structure establis...동호 한
 
Exchange Active Sync Troubleshooting
Exchange Active Sync TroubleshootingExchange Active Sync Troubleshooting
Exchange Active Sync TroubleshootingK Singh
 
Women's week on Techstory.in
Women's week on Techstory.inWomen's week on Techstory.in
Women's week on Techstory.indiptigore
 
Mobile Activesync Russian Roulette - Kiwicon 09
Mobile Activesync Russian Roulette - Kiwicon 09Mobile Activesync Russian Roulette - Kiwicon 09
Mobile Activesync Russian Roulette - Kiwicon 09deathflu
 
The Presentation Come-Back Kid
The Presentation Come-Back KidThe Presentation Come-Back Kid
The Presentation Come-Back KidEthos3
 
Classroom Management Tips for Kids and Adolescents
Classroom Management Tips for Kids and AdolescentsClassroom Management Tips for Kids and Adolescents
Classroom Management Tips for Kids and AdolescentsShelly Sanchez Terrell
 
The Buyer's Journey - by Chris Lema
The Buyer's Journey - by Chris LemaThe Buyer's Journey - by Chris Lema
The Buyer's Journey - by Chris LemaChris Lema
 

Andere mochten auch (11)

Cdao Utep10
Cdao Utep10Cdao Utep10
Cdao Utep10
 
iEvoBio 2010 cdaostore
iEvoBio 2010 cdaostoreiEvoBio 2010 cdaostore
iEvoBio 2010 cdaostore
 
iPhoneのオモチャ箱 - 刊行記念イベント@ジュンク堂新宿 - バスケ
iPhoneのオモチャ箱 - 刊行記念イベント@ジュンク堂新宿 - バスケiPhoneのオモチャ箱 - 刊行記念イベント@ジュンク堂新宿 - バスケ
iPhoneのオモチャ箱 - 刊行記念イベント@ジュンク堂新宿 - バスケ
 
Introducción- Clase Nº1- Prof. Julian Drault- Fecha 24-06-2010
Introducción- Clase Nº1- Prof. Julian Drault- Fecha 24-06-2010Introducción- Clase Nº1- Prof. Julian Drault- Fecha 24-06-2010
Introducción- Clase Nº1- Prof. Julian Drault- Fecha 24-06-2010
 
Android community which takes a lead in the virtuous cycle structure establis...
Android community which takes a lead in the virtuous cycle structure establis...Android community which takes a lead in the virtuous cycle structure establis...
Android community which takes a lead in the virtuous cycle structure establis...
 
Exchange Active Sync Troubleshooting
Exchange Active Sync TroubleshootingExchange Active Sync Troubleshooting
Exchange Active Sync Troubleshooting
 
Women's week on Techstory.in
Women's week on Techstory.inWomen's week on Techstory.in
Women's week on Techstory.in
 
Mobile Activesync Russian Roulette - Kiwicon 09
Mobile Activesync Russian Roulette - Kiwicon 09Mobile Activesync Russian Roulette - Kiwicon 09
Mobile Activesync Russian Roulette - Kiwicon 09
 
The Presentation Come-Back Kid
The Presentation Come-Back KidThe Presentation Come-Back Kid
The Presentation Come-Back Kid
 
Classroom Management Tips for Kids and Adolescents
Classroom Management Tips for Kids and AdolescentsClassroom Management Tips for Kids and Adolescents
Classroom Management Tips for Kids and Adolescents
 
The Buyer's Journey - by Chris Lema
The Buyer's Journey - by Chris LemaThe Buyer's Journey - by Chris Lema
The Buyer's Journey - by Chris Lema
 

Ähnlich wie Ievobio2010cdaostore

Dataset Catalogs as a Foundation for FAIR* Data
Dataset Catalogs as a Foundation for FAIR* DataDataset Catalogs as a Foundation for FAIR* Data
Dataset Catalogs as a Foundation for FAIR* DataTom Plasterer
 
Yde de Jong & Dave Roberts - ZooBank and EDIT: Towards a business model for Z...
Yde de Jong & Dave Roberts - ZooBank and EDIT: Towards a business model for Z...Yde de Jong & Dave Roberts - ZooBank and EDIT: Towards a business model for Z...
Yde de Jong & Dave Roberts - ZooBank and EDIT: Towards a business model for Z...ICZN
 
Towards a rebirth of data science (by Data Fellas)
Towards a rebirth of data science (by Data Fellas)Towards a rebirth of data science (by Data Fellas)
Towards a rebirth of data science (by Data Fellas)Andy Petrella
 
What is a distributed data science pipeline. how with apache spark and friends.
What is a distributed data science pipeline. how with apache spark and friends.What is a distributed data science pipeline. how with apache spark and friends.
What is a distributed data science pipeline. how with apache spark and friends.Andy Petrella
 
clustering_classification.ppt
clustering_classification.pptclustering_classification.ppt
clustering_classification.pptHODECE21
 
A Generic Scientific Data Model and Ontology for Representation of Chemical Data
A Generic Scientific Data Model and Ontology for Representation of Chemical DataA Generic Scientific Data Model and Ontology for Representation of Chemical Data
A Generic Scientific Data Model and Ontology for Representation of Chemical DataStuart Chalk
 
FAIR Workflows and Research Objects get a Workout
FAIR Workflows and Research Objects get a Workout FAIR Workflows and Research Objects get a Workout
FAIR Workflows and Research Objects get a Workout Carole Goble
 
Vital AI: Big Data Modeling
Vital AI: Big Data ModelingVital AI: Big Data Modeling
Vital AI: Big Data ModelingVital.AI
 
Data Mining Presentation on Science Day 2023
Data Mining Presentation on Science Day 2023Data Mining Presentation on Science Day 2023
Data Mining Presentation on Science Day 2023SakshiTiwari490123
 
New Directions in Metadata
New Directions in MetadataNew Directions in Metadata
New Directions in Metadatasuyu22
 
FAIRy stories: the FAIR Data principles in theory and in practice
FAIRy stories: the FAIR Data principles in theory and in practiceFAIRy stories: the FAIR Data principles in theory and in practice
FAIRy stories: the FAIR Data principles in theory and in practiceCarole Goble
 
Leveraging mesos as the ultimate distributed data science platform
Leveraging mesos as the ultimate distributed data science platformLeveraging mesos as the ultimate distributed data science platform
Leveraging mesos as the ultimate distributed data science platformAndy Petrella
 
Assembling the Tree of Life from public DNA sequence data
Assembling the Tree of Life from public DNA sequence dataAssembling the Tree of Life from public DNA sequence data
Assembling the Tree of Life from public DNA sequence dataRutger Vos
 
Dats nih-dccpc-kc7-april2018-prs-uoxf
Dats  nih-dccpc-kc7-april2018-prs-uoxfDats  nih-dccpc-kc7-april2018-prs-uoxf
Dats nih-dccpc-kc7-april2018-prs-uoxfPhilippe Rocca-Serra
 

Ähnlich wie Ievobio2010cdaostore (20)

Dataset Catalogs as a Foundation for FAIR* Data
Dataset Catalogs as a Foundation for FAIR* DataDataset Catalogs as a Foundation for FAIR* Data
Dataset Catalogs as a Foundation for FAIR* Data
 
Yde de Jong & Dave Roberts - ZooBank and EDIT: Towards a business model for Z...
Yde de Jong & Dave Roberts - ZooBank and EDIT: Towards a business model for Z...Yde de Jong & Dave Roberts - ZooBank and EDIT: Towards a business model for Z...
Yde de Jong & Dave Roberts - ZooBank and EDIT: Towards a business model for Z...
 
Chachra, "Improving Discovery Systems Through Post Processing of Harvested Data"
Chachra, "Improving Discovery Systems Through Post Processing of Harvested Data"Chachra, "Improving Discovery Systems Through Post Processing of Harvested Data"
Chachra, "Improving Discovery Systems Through Post Processing of Harvested Data"
 
Towards a rebirth of data science (by Data Fellas)
Towards a rebirth of data science (by Data Fellas)Towards a rebirth of data science (by Data Fellas)
Towards a rebirth of data science (by Data Fellas)
 
What is a distributed data science pipeline. how with apache spark and friends.
What is a distributed data science pipeline. how with apache spark and friends.What is a distributed data science pipeline. how with apache spark and friends.
What is a distributed data science pipeline. how with apache spark and friends.
 
clustering_classification.ppt
clustering_classification.pptclustering_classification.ppt
clustering_classification.ppt
 
A Generic Scientific Data Model and Ontology for Representation of Chemical Data
A Generic Scientific Data Model and Ontology for Representation of Chemical DataA Generic Scientific Data Model and Ontology for Representation of Chemical Data
A Generic Scientific Data Model and Ontology for Representation of Chemical Data
 
Metadata as Standard: improving Interoperability through the Research Data Al...
Metadata as Standard: improving Interoperability through the Research Data Al...Metadata as Standard: improving Interoperability through the Research Data Al...
Metadata as Standard: improving Interoperability through the Research Data Al...
 
Price "KBART: improving the supply of data to link resolvers and knowledge ba...
Price "KBART: improving the supply of data to link resolvers and knowledge ba...Price "KBART: improving the supply of data to link resolvers and knowledge ba...
Price "KBART: improving the supply of data to link resolvers and knowledge ba...
 
Price "KBART: Improving the Supply of Data to Link Resolvers and Knowledge Ba...
Price "KBART: Improving the Supply of Data to Link Resolvers and Knowledge Ba...Price "KBART: Improving the Supply of Data to Link Resolvers and Knowledge Ba...
Price "KBART: Improving the Supply of Data to Link Resolvers and Knowledge Ba...
 
FAIR Workflows and Research Objects get a Workout
FAIR Workflows and Research Objects get a Workout FAIR Workflows and Research Objects get a Workout
FAIR Workflows and Research Objects get a Workout
 
Vital AI: Big Data Modeling
Vital AI: Big Data ModelingVital AI: Big Data Modeling
Vital AI: Big Data Modeling
 
Data Mining Presentation on Science Day 2023
Data Mining Presentation on Science Day 2023Data Mining Presentation on Science Day 2023
Data Mining Presentation on Science Day 2023
 
New Directions in Metadata
New Directions in MetadataNew Directions in Metadata
New Directions in Metadata
 
FAIRy stories: the FAIR Data principles in theory and in practice
FAIRy stories: the FAIR Data principles in theory and in practiceFAIRy stories: the FAIR Data principles in theory and in practice
FAIRy stories: the FAIR Data principles in theory and in practice
 
Leveraging mesos as the ultimate distributed data science platform
Leveraging mesos as the ultimate distributed data science platformLeveraging mesos as the ultimate distributed data science platform
Leveraging mesos as the ultimate distributed data science platform
 
Data mining
Data miningData mining
Data mining
 
Assembling the Tree of Life from public DNA sequence data
Assembling the Tree of Life from public DNA sequence dataAssembling the Tree of Life from public DNA sequence data
Assembling the Tree of Life from public DNA sequence data
 
Metadata
MetadataMetadata
Metadata
 
Dats nih-dccpc-kc7-april2018-prs-uoxf
Dats  nih-dccpc-kc7-april2018-prs-uoxfDats  nih-dccpc-kc7-april2018-prs-uoxf
Dats nih-dccpc-kc7-april2018-prs-uoxf
 

Kürzlich hochgeladen

Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesFatimaKhan178732
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104misteraugie
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdfQucHHunhnh
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docxPoojaSen20
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxGaneshChakor2
 
URLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppURLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppCeline George
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdfSoniaTolstoy
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactPECB
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfJayanti Pande
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdfssuser54595a
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformChameera Dedduwage
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 

Kürzlich hochgeladen (20)

Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and Actinides
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docx
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptx
 
URLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppURLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website App
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
 
Staff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSDStaff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSD
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptx
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdf
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
 
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptxINDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy Reform
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 

Ievobio2010cdaostore

  • 1. CDAO-STORE: A New Vision for Data Integration Brandon Chisham, Trung Le, Enrico Pontelli, Tran Son, Ben Wright IEvoBio 2010 Portland, OR
  • 2. CDAO  Comparative Data Analysis Ontology  Provides semantics to the descriptions of data commonly found in the domain of phylogenetic inference.  Enables the rigorous description of phylogenetic trees and associated character data matrices.
  • 3. What We Did  CDAO-Store  A repository providing a rich set of API's for querying phyloinformatics data.  CDAO-Explorer  A visualization tool for viewing data sets stored in the repository.
  • 4. CDAO-Store Repository  What's in it?  TreeBASE dump dated January 2009  Also allows the importation of CDAO formatted files. − To get your files into CDAO, we can translate NEXUS, PHYLIP, and MEGA into CDAO format.  Files can be exported in RDF/XML using CDAO terms
  • 5. Querying CDAO-Store  PhyloWS  Retrieve data sets via name, tree identifier, taxon, or size.  Supports computing the minimum spanning clade or the nearest common ancestor of a set of taxa.  Web-Based  Search for data sets by author or study  View data sets online by tree, taxon, algorithm, method, or size.
  • 6. Web-Based Queries • Landing page for web-queries.
  • 7. Trees Containing a Taxonomic Unit • Shows a list of trees matching the Taxonomic Unit • Has links to query these trees or View them graphically
  • 8. Tree Query • Shows a listing of nodes in the tree. • Allows user to select any set of them to find their minimum spanning clade, or Nearest Common Ancestor
  • 9. Searching by Author • List studies from a particular author.
  • 10. Study Detail • Lists all authors, with links to their studies. • Abstract • Trees associated with the study. • Future: Matrices the data is available in the system but not exposed to the user.
  • 11. Searching by Algorithm or Method • Can search by Algorithm or Method • As before listing shows tree name and links to query the tree or view it.
  • 12. Visualization with CDAO-Explorer  CDAO-Explorer  Tree Viewer  Matrix Viewer
  • 13. Tree Viewer  Uses the Prefuse framework  2 Layouts, “Force Layout” and “Node Layout”  Can search by node/edge name  View details of nodes or edges  Can save as jpg or png
  • 14. Matrix Viewer  Custom built  Color-coded cells  Extract or 'crop' parts of the Matrix for closer views  Zoom in and out of the matrix  Annotation support in development.
  • 15. Conclusion  The CDAO-store tool set provides a robust foundation for a semantically aware, phylogeny resource  The CDAO-Explorer portion of the store has achieved a good base-line functionality and provides a set of useful features to advance the current state of visualization of large data sets in this field.
  • 16. Future  Annotations / MIAPA / OBI  User-defined SPARQL Queries  Better Tree / Matrix integration  Ambiguous Name Resolution (at taxon, tree, and study levels)  Integrating other stores besides TreeBASE
  • 17. Questions?  Find us at:  http://www.cs.nmsu.edu/~cdaostore  http://cdaotools.sourceforge.net  http://www.twitter.com/cdaotools  Funding for this project provided by:  NSF CREST grant HRD-0420407  NSF IGERT grant DGE-0504304  Additional Support provided by:  NESCent  NMSU  CDAO Development Team