SlideShare ist ein Scribd-Unternehmen logo
1 von 30
Building a flexible infrastructure with Bioclipse, open source, and federated cloud services 1  Dept. Pharmaceutical Biosciences, Uppsala University, Sweden 2  Global Safety Assessment, AstraZeneca R&D, Sweden Ola Spjuth 1  and Lars Carlsson 2
Contents ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Bioclipse ,[object Object],[object Object],[object Object],[object Object],[object Object],Spjuth O, Helmus T, Willighagen EL, Kuhn S, Eklund M, Wagener J, Murray-Rust P, Steinbeck C, Wikberg JES. Bioclipse: an open source workbench for chemo- and bioinformatics . BMC Bioinformatics  2007, 8:59. O. Spjuth, J. Alvarsson, A. Berg, M. Eklund, S. Kuhn, C. Mäsak, G. Torrance, J. Wagener, E. L. Willighagen, C. Steinbeck, and J. E. S. Wikberg. Bioclipse 2: A scriptable integration platform for the life sciences . Submitted, 2009.
What is a Rich Client? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Bioclipse features ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Component-based architecture Bioclipse Proteochemometrics 2D 3D Data analysis Spectra Molecular dynamics
Bioclipse ,[object Object]
Other Eclipse-applications:  Maestro – NASA Space Mission Management
Other Eclipse-applications:  Dutch railways
XMPP services: Background ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
XMPP architecture Wagener J, Spjuth O, Willighagen EL, Wikberg JES. XMPP for cloud computing in bioinformatics supporting discovery and invocation of asynchronous Web services . BMC Bioinformatics  2009, 10:2799
Some mid-pres conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Bioclipse and Drug Discovery Meets computational and reporting demands at various stages in the drug-discovery process DISCOVERY DEVELOPMENT LI FTIM LO CD Batch/scripting Tailored plugins  Rich content
Global Safety Assessment, AstraZeneca R&D   The objective of the group at AZ is to provide state-of-the-art tools to facilitate decision making in the drug-discovery process   The main focus is on predictive toxicology
Ames Risk Assessment System ,[object Object],[object Object],[object Object],[object Object]
Bioclipse Software Demonstration ,[object Object],[object Object],[object Object],[object Object],[object Object],Live Demo
Bioclipse Achievements ,[object Object],[object Object],[object Object],[object Object],Jury’s Special Prize
Genetta Soft AB ,[object Object],[object Object],[object Object],[object Object],www.genettasoft.com
Acknowledgements Dept. Pharmaceutical Biosciences, Uppsala University, Sweden Prof. Jarl E. S. Wikberg Dr. Egon Willighagen Martin Eklund Jonathan Alvarsson Carl Mäsak Eskil Anderssen Annsofi Andersson Arvid Berg Bjarni Juliusson Unilever Centre for Molecular Informatics, Univ. Cambridge, UK Prof. Peter Murray-Rust Prof. Robert Glen Samuel Adams Linnaeus Centre for Bioinformatics, Uppsala, Sweden Dr. Erik Bongcam-Rudloff Sofia Burvall European Bioinformatics Institute, Hinxton, UK Dr. Christoph Steinbeck Stefan Kuhn Dr. Gilleain Torrence Cologne University Bioinformatics Centre (CUBIC), Germany Dr. Tobias Helmus Miguel Rojas Thomas Kuhn Dept Clinical Pharmacology, Uppsala University, Sweden Prof. Rolf Larsson Dr. Claes Andersson Hanna Göransson Ludwig-Maximilians-Universität, Munich, Germany  Dr. Johannes Wagener ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Thank you!
Supporting slides
Bioclipse Decision Support: Safety assessment Near-real time predictions
Bioclipse Decision Support: Interpretation of models Interpret results graphically
Bioclipse Decision Support: Optimize problematic regions Optimization invokes an XMPP service (long-running job)
Bioclipse Decision Support: Inspect optimized structures Upon completion, results are opened for inspection
Bioclipse Decision Support: Multiple Molecules Batch processing with overview
Bioclipse Decision Support: Report generation Integrated report generation (export to Excel, Word, ppt, pdf, etc)
MetaPrint2D: Site-of-metabolism prediction L. Carlsson, O. Spjuth, S. Adams, R. C. Glen, and S. Boyer.   Use of historic metabolic biotransformation data as a means of anticipating metabolic sites using metaprint2d and bioclipse . Manuscript in preparation.
MetaPrint2D: Site-of-metabolism prediction Predict multiple structures L. Carlsson, O. Spjuth, S. Adams, R. C. Glen, and S. Boyer.   Use of historic metabolic biotransformation data as a means of anticipating metabolic sites using metaprint2d and bioclipse . Manuscript in preparation.
Standardized QSAR in Bioclipse O. Spjuth, E. L. Willighagen, R. Guha, and J. E. S. Wikberg. Towards interoperable and reproducible QSAR analyses: Exchange of data sets.  Manuscript in preparation.

Weitere ähnliche Inhalte

Was ist angesagt?

Large scale machine learning challenges for systems biology
Large scale machine learning challenges for systems biologyLarge scale machine learning challenges for systems biology
Large scale machine learning challenges for systems biologyMaté Ongenaert
 
Visualizing the Structural Variome (VMLS-Eurovis 2013)
Visualizing the Structural Variome (VMLS-Eurovis 2013)Visualizing the Structural Variome (VMLS-Eurovis 2013)
Visualizing the Structural Variome (VMLS-Eurovis 2013)Jan Aerts
 
High Performance Cyberinfrastructure to Support Data-Intensive Biomedical Res...
High Performance Cyberinfrastructure to Support Data-Intensive Biomedical Res...High Performance Cyberinfrastructure to Support Data-Intensive Biomedical Res...
High Performance Cyberinfrastructure to Support Data-Intensive Biomedical Res...Larry Smarr
 
Machine Learning in Biology and Why It Doesn't Make Sense - Theo Knijnenburg,...
Machine Learning in Biology and Why It Doesn't Make Sense - Theo Knijnenburg,...Machine Learning in Biology and Why It Doesn't Make Sense - Theo Knijnenburg,...
Machine Learning in Biology and Why It Doesn't Make Sense - Theo Knijnenburg,...Seattle DAML meetup
 
NetBioSIG2013-KEYNOTE Michael Schroeder
NetBioSIG2013-KEYNOTE Michael SchroederNetBioSIG2013-KEYNOTE Michael Schroeder
NetBioSIG2013-KEYNOTE Michael SchroederAlexander Pico
 

Was ist angesagt? (7)

Large scale machine learning challenges for systems biology
Large scale machine learning challenges for systems biologyLarge scale machine learning challenges for systems biology
Large scale machine learning challenges for systems biology
 
Visualizing the Structural Variome (VMLS-Eurovis 2013)
Visualizing the Structural Variome (VMLS-Eurovis 2013)Visualizing the Structural Variome (VMLS-Eurovis 2013)
Visualizing the Structural Variome (VMLS-Eurovis 2013)
 
High Performance Cyberinfrastructure to Support Data-Intensive Biomedical Res...
High Performance Cyberinfrastructure to Support Data-Intensive Biomedical Res...High Performance Cyberinfrastructure to Support Data-Intensive Biomedical Res...
High Performance Cyberinfrastructure to Support Data-Intensive Biomedical Res...
 
scilifelab-folder-2016-7
scilifelab-folder-2016-7scilifelab-folder-2016-7
scilifelab-folder-2016-7
 
Grid Computing
Grid ComputingGrid Computing
Grid Computing
 
Machine Learning in Biology and Why It Doesn't Make Sense - Theo Knijnenburg,...
Machine Learning in Biology and Why It Doesn't Make Sense - Theo Knijnenburg,...Machine Learning in Biology and Why It Doesn't Make Sense - Theo Knijnenburg,...
Machine Learning in Biology and Why It Doesn't Make Sense - Theo Knijnenburg,...
 
NetBioSIG2013-KEYNOTE Michael Schroeder
NetBioSIG2013-KEYNOTE Michael SchroederNetBioSIG2013-KEYNOTE Michael Schroeder
NetBioSIG2013-KEYNOTE Michael Schroeder
 

Ähnlich wie Building a flexible infrastructure with Bioclipse, open source, and federated cloud services

Continuous modeling - automating model building on high-performance e-Infrast...
Continuous modeling - automating model building on high-performance e-Infrast...Continuous modeling - automating model building on high-performance e-Infrast...
Continuous modeling - automating model building on high-performance e-Infrast...Ola Spjuth
 
Agile large-scale machine-learning pipelines in drug discovery
Agile large-scale machine-learning pipelines in drug discoveryAgile large-scale machine-learning pipelines in drug discovery
Agile large-scale machine-learning pipelines in drug discoveryOla Spjuth
 
Chemical decision support in toxicology and pharmacology (OpenToxEU 2013)
Chemical decision support in toxicology and pharmacology (OpenToxEU 2013)Chemical decision support in toxicology and pharmacology (OpenToxEU 2013)
Chemical decision support in toxicology and pharmacology (OpenToxEU 2013)Ola Spjuth
 
wolstencroft-ogf20-astro
wolstencroft-ogf20-astrowolstencroft-ogf20-astro
wolstencroft-ogf20-astrowebuploader
 
Introduction to Next Generation Sequencing
Introduction to Next Generation SequencingIntroduction to Next Generation Sequencing
Introduction to Next Generation SequencingEdizonJambormias2
 
Supporting researchers in the molecular life sciences Jeff Christiansen
Supporting researchers in the molecular life sciences Jeff Christiansen Supporting researchers in the molecular life sciences Jeff Christiansen
Supporting researchers in the molecular life sciences Jeff Christiansen ARDC
 
ReComp and P4@NU: Reproducible Data Science for Health
ReComp and P4@NU: Reproducible Data Science for HealthReComp and P4@NU: Reproducible Data Science for Health
ReComp and P4@NU: Reproducible Data Science for HealthPaolo Missier
 
Advancing CAM Assay Image Analysis Using Deep Learning Software
Advancing CAM Assay Image Analysis Using Deep Learning SoftwareAdvancing CAM Assay Image Analysis Using Deep Learning Software
Advancing CAM Assay Image Analysis Using Deep Learning SoftwareKML Vision
 
A National Big Data Cyberinfrastructure Supporting Computational Biomedical R...
A National Big Data Cyberinfrastructure Supporting Computational Biomedical R...A National Big Data Cyberinfrastructure Supporting Computational Biomedical R...
A National Big Data Cyberinfrastructure Supporting Computational Biomedical R...Larry Smarr
 
Towards Automated AI-guided Drug Discovery Labs
Towards Automated AI-guided Drug Discovery LabsTowards Automated AI-guided Drug Discovery Labs
Towards Automated AI-guided Drug Discovery LabsOla Spjuth
 
2014 Taverna Tutorial Introduction to eScience and workflows
2014 Taverna Tutorial Introduction to eScience and workflows2014 Taverna Tutorial Introduction to eScience and workflows
2014 Taverna Tutorial Introduction to eScience and workflowsmyGrid team
 
Accelerating GWAS epistatic interaction analysis methods
Accelerating GWAS epistatic interaction analysis methodsAccelerating GWAS epistatic interaction analysis methods
Accelerating GWAS epistatic interaction analysis methodsPriscill Orue Esquivel
 
Docker in Open Science Data Analysis Challenges by Bruce Hoff
Docker in Open Science Data Analysis Challenges by Bruce HoffDocker in Open Science Data Analysis Challenges by Bruce Hoff
Docker in Open Science Data Analysis Challenges by Bruce HoffDocker, Inc.
 
The Singularity: Toward a Post-Human Reality
The Singularity: Toward a Post-Human RealityThe Singularity: Toward a Post-Human Reality
The Singularity: Toward a Post-Human RealityLarry Smarr
 

Ähnlich wie Building a flexible infrastructure with Bioclipse, open source, and federated cloud services (20)

Continuous modeling - automating model building on high-performance e-Infrast...
Continuous modeling - automating model building on high-performance e-Infrast...Continuous modeling - automating model building on high-performance e-Infrast...
Continuous modeling - automating model building on high-performance e-Infrast...
 
Agile large-scale machine-learning pipelines in drug discovery
Agile large-scale machine-learning pipelines in drug discoveryAgile large-scale machine-learning pipelines in drug discovery
Agile large-scale machine-learning pipelines in drug discovery
 
Chemical decision support in toxicology and pharmacology (OpenToxEU 2013)
Chemical decision support in toxicology and pharmacology (OpenToxEU 2013)Chemical decision support in toxicology and pharmacology (OpenToxEU 2013)
Chemical decision support in toxicology and pharmacology (OpenToxEU 2013)
 
Collins seattle-2014-final
Collins seattle-2014-finalCollins seattle-2014-final
Collins seattle-2014-final
 
2015_CV_J_SHELTON_linked
2015_CV_J_SHELTON_linked2015_CV_J_SHELTON_linked
2015_CV_J_SHELTON_linked
 
wolstencroft-ogf20-astro
wolstencroft-ogf20-astrowolstencroft-ogf20-astro
wolstencroft-ogf20-astro
 
Bioclipse
BioclipseBioclipse
Bioclipse
 
CV_10/17
CV_10/17CV_10/17
CV_10/17
 
Cv long
Cv longCv long
Cv long
 
Introduction to Next Generation Sequencing
Introduction to Next Generation SequencingIntroduction to Next Generation Sequencing
Introduction to Next Generation Sequencing
 
Supporting researchers in the molecular life sciences Jeff Christiansen
Supporting researchers in the molecular life sciences Jeff Christiansen Supporting researchers in the molecular life sciences Jeff Christiansen
Supporting researchers in the molecular life sciences Jeff Christiansen
 
ReComp and P4@NU: Reproducible Data Science for Health
ReComp and P4@NU: Reproducible Data Science for HealthReComp and P4@NU: Reproducible Data Science for Health
ReComp and P4@NU: Reproducible Data Science for Health
 
Advancing CAM Assay Image Analysis Using Deep Learning Software
Advancing CAM Assay Image Analysis Using Deep Learning SoftwareAdvancing CAM Assay Image Analysis Using Deep Learning Software
Advancing CAM Assay Image Analysis Using Deep Learning Software
 
A National Big Data Cyberinfrastructure Supporting Computational Biomedical R...
A National Big Data Cyberinfrastructure Supporting Computational Biomedical R...A National Big Data Cyberinfrastructure Supporting Computational Biomedical R...
A National Big Data Cyberinfrastructure Supporting Computational Biomedical R...
 
Towards Automated AI-guided Drug Discovery Labs
Towards Automated AI-guided Drug Discovery LabsTowards Automated AI-guided Drug Discovery Labs
Towards Automated AI-guided Drug Discovery Labs
 
2014 Taverna Tutorial Introduction to eScience and workflows
2014 Taverna Tutorial Introduction to eScience and workflows2014 Taverna Tutorial Introduction to eScience and workflows
2014 Taverna Tutorial Introduction to eScience and workflows
 
Accelerating GWAS epistatic interaction analysis methods
Accelerating GWAS epistatic interaction analysis methodsAccelerating GWAS epistatic interaction analysis methods
Accelerating GWAS epistatic interaction analysis methods
 
Ashg presentation 2010
Ashg presentation 2010Ashg presentation 2010
Ashg presentation 2010
 
Docker in Open Science Data Analysis Challenges by Bruce Hoff
Docker in Open Science Data Analysis Challenges by Bruce HoffDocker in Open Science Data Analysis Challenges by Bruce Hoff
Docker in Open Science Data Analysis Challenges by Bruce Hoff
 
The Singularity: Toward a Post-Human Reality
The Singularity: Toward a Post-Human RealityThe Singularity: Toward a Post-Human Reality
The Singularity: Toward a Post-Human Reality
 

Mehr von Ola Spjuth

Automating cell-based screening with open source, robotics and AI
Automating cell-based screening with open source, robotics and AIAutomating cell-based screening with open source, robotics and AI
Automating cell-based screening with open source, robotics and AIOla Spjuth
 
Towards automated phenotypic cell profiling with high-content imaging
Towards automated phenotypic cell profiling with high-content imagingTowards automated phenotypic cell profiling with high-content imaging
Towards automated phenotypic cell profiling with high-content imagingOla Spjuth
 
Combining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets
Combining Prediction Intervals on Multi-Source Non-Disclosed Regression DatasetsCombining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets
Combining Prediction Intervals on Multi-Source Non-Disclosed Regression DatasetsOla Spjuth
 
Automating the process of continuously prioritising data, updating and deploy...
Automating the process of continuously prioritising data, updating and deploy...Automating the process of continuously prioritising data, updating and deploy...
Automating the process of continuously prioritising data, updating and deploy...Ola Spjuth
 
Data-intensive applications on cloud computing resources: Applications in lif...
Data-intensive applications on cloud computing resources: Applications in lif...Data-intensive applications on cloud computing resources: Applications in lif...
Data-intensive applications on cloud computing resources: Applications in lif...Ola Spjuth
 
Data-intensive bioinformatics on HPC and Cloud
Data-intensive bioinformatics on HPC and CloudData-intensive bioinformatics on HPC and Cloud
Data-intensive bioinformatics on HPC and CloudOla Spjuth
 
The case for cloud computing in Life Sciences
The case for cloud computing in Life SciencesThe case for cloud computing in Life Sciences
The case for cloud computing in Life SciencesOla Spjuth
 
Storage and Analysis of Sensitive Large-Scale Biomedical Data in Sweden
Storage and Analysis of Sensitive Large-Scale Biomedical Data in SwedenStorage and Analysis of Sensitive Large-Scale Biomedical Data in Sweden
Storage and Analysis of Sensitive Large-Scale Biomedical Data in SwedenOla Spjuth
 
Enabling Translational Medicine with e-Science
Enabling Translational Medicine with e-ScienceEnabling Translational Medicine with e-Science
Enabling Translational Medicine with e-ScienceOla Spjuth
 
Analyzing Big Data in Medicine with Virtual Research Environments and Microse...
Analyzing Big Data in Medicine with Virtual Research Environments and Microse...Analyzing Big Data in Medicine with Virtual Research Environments and Microse...
Analyzing Big Data in Medicine with Virtual Research Environments and Microse...Ola Spjuth
 
Interoperability and scalability with microservices in science
Interoperability and scalability with microservices in scienceInteroperability and scalability with microservices in science
Interoperability and scalability with microservices in scienceOla Spjuth
 
Accessing and scripting CDK from Bioclipse
Accessing and scripting CDK from BioclipseAccessing and scripting CDK from Bioclipse
Accessing and scripting CDK from BioclipseOla Spjuth
 

Mehr von Ola Spjuth (12)

Automating cell-based screening with open source, robotics and AI
Automating cell-based screening with open source, robotics and AIAutomating cell-based screening with open source, robotics and AI
Automating cell-based screening with open source, robotics and AI
 
Towards automated phenotypic cell profiling with high-content imaging
Towards automated phenotypic cell profiling with high-content imagingTowards automated phenotypic cell profiling with high-content imaging
Towards automated phenotypic cell profiling with high-content imaging
 
Combining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets
Combining Prediction Intervals on Multi-Source Non-Disclosed Regression DatasetsCombining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets
Combining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets
 
Automating the process of continuously prioritising data, updating and deploy...
Automating the process of continuously prioritising data, updating and deploy...Automating the process of continuously prioritising data, updating and deploy...
Automating the process of continuously prioritising data, updating and deploy...
 
Data-intensive applications on cloud computing resources: Applications in lif...
Data-intensive applications on cloud computing resources: Applications in lif...Data-intensive applications on cloud computing resources: Applications in lif...
Data-intensive applications on cloud computing resources: Applications in lif...
 
Data-intensive bioinformatics on HPC and Cloud
Data-intensive bioinformatics on HPC and CloudData-intensive bioinformatics on HPC and Cloud
Data-intensive bioinformatics on HPC and Cloud
 
The case for cloud computing in Life Sciences
The case for cloud computing in Life SciencesThe case for cloud computing in Life Sciences
The case for cloud computing in Life Sciences
 
Storage and Analysis of Sensitive Large-Scale Biomedical Data in Sweden
Storage and Analysis of Sensitive Large-Scale Biomedical Data in SwedenStorage and Analysis of Sensitive Large-Scale Biomedical Data in Sweden
Storage and Analysis of Sensitive Large-Scale Biomedical Data in Sweden
 
Enabling Translational Medicine with e-Science
Enabling Translational Medicine with e-ScienceEnabling Translational Medicine with e-Science
Enabling Translational Medicine with e-Science
 
Analyzing Big Data in Medicine with Virtual Research Environments and Microse...
Analyzing Big Data in Medicine with Virtual Research Environments and Microse...Analyzing Big Data in Medicine with Virtual Research Environments and Microse...
Analyzing Big Data in Medicine with Virtual Research Environments and Microse...
 
Interoperability and scalability with microservices in science
Interoperability and scalability with microservices in scienceInteroperability and scalability with microservices in science
Interoperability and scalability with microservices in science
 
Accessing and scripting CDK from Bioclipse
Accessing and scripting CDK from BioclipseAccessing and scripting CDK from Bioclipse
Accessing and scripting CDK from Bioclipse
 

Kürzlich hochgeladen

Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Alkin Tezuysal
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch TuesdayIvanti
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfNeo4j
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfIngrid Airi González
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...AliaaTarek5
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...Wes McKinney
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsRavi Sanghani
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfpanagenda
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentPim van der Noll
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesKari Kakkonen
 
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...Scott Andery
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 

Kürzlich hochgeladen (20)

Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch Tuesday
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdf
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdf
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and Insights
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examples
 
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 

Building a flexible infrastructure with Bioclipse, open source, and federated cloud services

  • 1. Building a flexible infrastructure with Bioclipse, open source, and federated cloud services 1 Dept. Pharmaceutical Biosciences, Uppsala University, Sweden 2 Global Safety Assessment, AstraZeneca R&D, Sweden Ola Spjuth 1 and Lars Carlsson 2
  • 2.
  • 3.
  • 4.
  • 5.
  • 6. Component-based architecture Bioclipse Proteochemometrics 2D 3D Data analysis Spectra Molecular dynamics
  • 7.
  • 8. Other Eclipse-applications: Maestro – NASA Space Mission Management
  • 10.
  • 11. XMPP architecture Wagener J, Spjuth O, Willighagen EL, Wikberg JES. XMPP for cloud computing in bioinformatics supporting discovery and invocation of asynchronous Web services . BMC Bioinformatics 2009, 10:2799
  • 12.
  • 13. Bioclipse and Drug Discovery Meets computational and reporting demands at various stages in the drug-discovery process DISCOVERY DEVELOPMENT LI FTIM LO CD Batch/scripting Tailored plugins Rich content
  • 14. Global Safety Assessment, AstraZeneca R&D   The objective of the group at AZ is to provide state-of-the-art tools to facilitate decision making in the drug-discovery process   The main focus is on predictive toxicology
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 22. Bioclipse Decision Support: Safety assessment Near-real time predictions
  • 23. Bioclipse Decision Support: Interpretation of models Interpret results graphically
  • 24. Bioclipse Decision Support: Optimize problematic regions Optimization invokes an XMPP service (long-running job)
  • 25. Bioclipse Decision Support: Inspect optimized structures Upon completion, results are opened for inspection
  • 26. Bioclipse Decision Support: Multiple Molecules Batch processing with overview
  • 27. Bioclipse Decision Support: Report generation Integrated report generation (export to Excel, Word, ppt, pdf, etc)
  • 28. MetaPrint2D: Site-of-metabolism prediction L. Carlsson, O. Spjuth, S. Adams, R. C. Glen, and S. Boyer.   Use of historic metabolic biotransformation data as a means of anticipating metabolic sites using metaprint2d and bioclipse . Manuscript in preparation.
  • 29. MetaPrint2D: Site-of-metabolism prediction Predict multiple structures L. Carlsson, O. Spjuth, S. Adams, R. C. Glen, and S. Boyer.   Use of historic metabolic biotransformation data as a means of anticipating metabolic sites using metaprint2d and bioclipse . Manuscript in preparation.
  • 30. Standardized QSAR in Bioclipse O. Spjuth, E. L. Willighagen, R. Guha, and J. E. S. Wikberg. Towards interoperable and reproducible QSAR analyses: Exchange of data sets. Manuscript in preparation.

Hinweis der Redaktion

  1. Briefly discuss what a rich client is. This is an opportunity to talk about all the pretty pictures, how making a selection in one view can change the appearance of others, drag and drop, yadda, yadda, yadda… Desktop app (not in web browser) Responsive UI, native look and feel Portability, run on multiple platforms Supports disconnected operation, servers on demand
  2. A platform for building platforms The Maestro team develops mission operations software at the NASA Jet Propulsion Laboratory, including the science operations tool for the Spirit and Opportunity Mars rovers and the upcoming Phoenix and Mars Science Laboratory missions. More than a year ago, the team adopted the Eclipse Rich Client Platform as the foundation for the next version of their software and the Eclipse Java Development Tools as their development environment. Challenges: User community is everything from technophiles to technophobes. New set of tools (i.e., application) for every mission Complex applications Geographically dispersed
  3. Web servers, web pages Web services: do both
  4. Web servers, web pages Web services: do both
  5. Web servers, web pages Web services: do both
  6. Web servers, web pages Web services: do both
  7. Supports: Control access to services Long-running jobs Look up available services
  8. Exact database lookup InChI Nearest Neighbors CDK Fingerprints Signature Significance QSAR Toxicophores SMARTS matching
  9. Data sets can be exchanged QSAR analyses can be validated and reproduced QSAR analyses can be merged and extended Establish public repositories