SlideShare une entreprise Scribd logo
1  sur  145
Lars Juhl Jensen Data Integration and Systems Biology
Lars Juhl Jensen Data Integration and Systems Biology
what went wrong?
a good problem
a good idea
cell-cycle regulation
microarray data
interaction network
de Lichtenberg, Jensen, et al.,  Science , 2005
new uses for old drugs
chemical similarity
side effects
 
 
 
the problem
phosphorylation networks
mass spectrometry
Linding, Jensen, Ostheimer et al.,  Cell , 2007
phosphorylation sites
in vivo
kinases are unknown
peptide assays
Miller, Jensen et al.,  Science Signaling , 2008
sequence specificity
kinase-specific
in vitro
no context
what a kinase could do
not what it actually does
computational methods
sequence specificity
Miller, Jensen et al.,  Science Signaling , 2008
kinase-specific
no context
what a kinase could do
not what it actually does
in vitro
in vivo
context
co-activators
scaffolders
expression
association networks
Linding, Jensen, Ostheimer et al.,  Cell , 2007
the idea
mass spectrometry
phosphorylation sites
sequence motifs
sequence specificity
association network
context
in vitro
in vivo
Linding, Jensen, Ostheimer et al.,  Cell , 2007
the sequence motifs
NetPhorest
Miller, Jensen et al.,  Science Signaling , 2008
pipeline
data organization
Miller, Jensen et al.,  Science Signaling , 2008
compilation of datasets
Miller, Jensen et al.,  Science Signaling , 2008
redundancy reduction
Miller, Jensen et al.,  Science Signaling , 2008
cross-validation partitioning
Miller, Jensen et al.,  Science Signaling , 2008
training and evaluation
classifier selection
Miller, Jensen et al.,  Science Signaling , 2008
motif atlas
 
179 kinases
93 SH2 domains
8 PTB domains
BRCT domains
WW domains
14-3-3 proteins
benchmarking
Miller, Jensen et al.,  Science Signaling , 2008
low-specificity kinases
disease-related kinases
Miller, Jensen et al.,  Science Signaling , 2008
docking domains
Miller, Jensen et al.,  Science Signaling , 2008
the context network
STRING
functional associations
373 genomes
Jensen et al.,  Nucleic Acids Research , 2008
genomic context methods
gene fusion
Korbel et al.,  Nature Biotechnology , 2004
conserved neighborhood
Korbel et al.,  Nature Biotechnology , 2004
phylogenetic profiles
Korbel et al.,  Nature Biotechnology , 2004
primary experimental data
protein interactions
Jensen & Bork,  Science , 2008
gene coexpression
 
literature mining
 
curated knowledge
Letunic & Bork,  Trends in Biochemical Sciences , 2008
different formats
parsers
different gene identifiers
thesaurus
redundancy
bookkeeping
variable reliability
benchmarking
von Mering et al.,  Nucleic Acids Research , 2005
spread over many species
transfer by orthology
von Mering et al.,  Nucleic Acids Research , 2005
combine all evidence
Linding, Jensen, Ostheimer et al.,  Cell , 2007
the results
NetworKIN
123 kinases
5515 substrates
21,702 sites
benchmarking
Phospho.ELM
Linding, Jensen, Ostheimer et al.,  Cell , 2007
2.5-fold better accuracy
context is crucial
ATM signaling
Linding, Jensen, Ostheimer et al.,  Cell , 2007
Linding, Jensen, Ostheimer et al.,  Cell , 2007
small-scale validation
ATM phosphorylates Rad50
Linding, Jensen, Ostheimer et al.,  Cell , 2007
high-throughput validation
multiple reaction monitoring
Linding, Jensen, Ostheimer et al.,  Cell , 2007
systematic validation
kinase inhibitor matrix
Fedorov et al.,  PNAS , 2007
design optimal experiments
Acknowledgments ,[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],[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],[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],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
http://larsjuhljensen.wordpress.com

Contenu connexe

Tendances

Network biology: Large-scale biomedical data and text mining
Network biology: Large-scale biomedical data and text miningNetwork biology: Large-scale biomedical data and text mining
Network biology: Large-scale biomedical data and text mining
Lars Juhl Jensen
 
Networks of proteins and diseases
Networks of proteins and diseasesNetworks of proteins and diseases
Networks of proteins and diseases
Lars Juhl Jensen
 
Systems biology: Bioinformatics on complete biological system
Systems biology: Bioinformatics on complete biological systemSystems biology: Bioinformatics on complete biological system
Systems biology: Bioinformatics on complete biological system
Lars Juhl Jensen
 
Networks of proteins and diseases
Networks of proteins and diseasesNetworks of proteins and diseases
Networks of proteins and diseases
Lars Juhl Jensen
 
Visick Seminar Presentation
Visick Seminar PresentationVisick Seminar Presentation
Visick Seminar Presentation
Kailie Briza
 

Tendances (20)

Network biology: Large-scale biomedical data and text mining
Network biology: Large-scale biomedical data and text miningNetwork biology: Large-scale biomedical data and text mining
Network biology: Large-scale biomedical data and text mining
 
One tagger, many uses - Illustrating the power of ontologies in named entity ...
One tagger, many uses - Illustrating the power of ontologies in named entity ...One tagger, many uses - Illustrating the power of ontologies in named entity ...
One tagger, many uses - Illustrating the power of ontologies in named entity ...
 
STRING - Protein networks from data and text mining
STRING - Protein networks from data and text miningSTRING - Protein networks from data and text mining
STRING - Protein networks from data and text mining
 
Introduction to STRING
Introduction to STRINGIntroduction to STRING
Introduction to STRING
 
Networks of proteins and diseases
Networks of proteins and diseasesNetworks of proteins and diseases
Networks of proteins and diseases
 
Gene Association Networks: Large-scale integration of data and text
Gene Association Networks: Large-scale integration of data and textGene Association Networks: Large-scale integration of data and text
Gene Association Networks: Large-scale integration of data and text
 
Gene association networks - Large-scale integration of data and text
Gene association networks - Large-scale integration of data and textGene association networks - Large-scale integration of data and text
Gene association networks - Large-scale integration of data and text
 
Data and Text Mining
Data and Text MiningData and Text Mining
Data and Text Mining
 
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and textGene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
 
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and textGene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
 
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and textGene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
 
STRING: Protein networks from data and text mining
STRING: Protein networks from data and text miningSTRING: Protein networks from data and text mining
STRING: Protein networks from data and text mining
 
Network biology
Network biologyNetwork biology
Network biology
 
Systems biology: Bioinformatics on complete biological system
Systems biology: Bioinformatics on complete biological systemSystems biology: Bioinformatics on complete biological system
Systems biology: Bioinformatics on complete biological system
 
Networks of proteins and diseases
Networks of proteins and diseasesNetworks of proteins and diseases
Networks of proteins and diseases
 
Data integration - Integration of functional associations using STRING
Data integration - Integration of functional associations using STRINGData integration - Integration of functional associations using STRING
Data integration - Integration of functional associations using STRING
 
Journal Club 2013-09-10: Pandya et al
Journal Club 2013-09-10: Pandya et alJournal Club 2013-09-10: Pandya et al
Journal Club 2013-09-10: Pandya et al
 
proteomics and system biology
proteomics and system biologyproteomics and system biology
proteomics and system biology
 
Network Biology: A crash course on STRING and Cytoscape
Network Biology: A crash course on STRING and CytoscapeNetwork Biology: A crash course on STRING and Cytoscape
Network Biology: A crash course on STRING and Cytoscape
 
Visick Seminar Presentation
Visick Seminar PresentationVisick Seminar Presentation
Visick Seminar Presentation
 

En vedette

Data standards for systems biology
Data standards for systems biologyData standards for systems biology
Data standards for systems biology
Neil Swainston
 
Report on System Biology Funding from BMBF
Report on System Biology Funding from BMBFReport on System Biology Funding from BMBF
Report on System Biology Funding from BMBF
EuroBioForum
 
Formal representation of models in systems biology
Formal representation of models in systems biologyFormal representation of models in systems biology
Formal representation of models in systems biology
Michel Dumontier
 

En vedette (9)

Eclipse Meets Systems Biology
Eclipse Meets Systems BiologyEclipse Meets Systems Biology
Eclipse Meets Systems Biology
 
Data standards for systems biology
Data standards for systems biologyData standards for systems biology
Data standards for systems biology
 
Systems Biology Systems
Systems Biology SystemsSystems Biology Systems
Systems Biology Systems
 
Report on System Biology Funding from BMBF
Report on System Biology Funding from BMBFReport on System Biology Funding from BMBF
Report on System Biology Funding from BMBF
 
Darwin’s Magic: Evolutionary Computation in Nanoscience, Bioinformatics and S...
Darwin’s Magic: Evolutionary Computation in Nanoscience, Bioinformatics and S...Darwin’s Magic: Evolutionary Computation in Nanoscience, Bioinformatics and S...
Darwin’s Magic: Evolutionary Computation in Nanoscience, Bioinformatics and S...
 
Systems Biology and Genomics of Microbial Pathogens
Systems Biology and Genomics of Microbial PathogensSystems Biology and Genomics of Microbial Pathogens
Systems Biology and Genomics of Microbial Pathogens
 
Computational Approaches to Systems Biology
Computational Approaches to Systems BiologyComputational Approaches to Systems Biology
Computational Approaches to Systems Biology
 
Dr. Leroy Hood Lecuture on P4 Medicine
Dr. Leroy Hood Lecuture on P4 MedicineDr. Leroy Hood Lecuture on P4 Medicine
Dr. Leroy Hood Lecuture on P4 Medicine
 
Formal representation of models in systems biology
Formal representation of models in systems biologyFormal representation of models in systems biology
Formal representation of models in systems biology
 

Similaire à Data Integration and Systems Biology

Network biology - A basis for large-scale biomedica data mining
Network biology - A basis for large-scale biomedica data miningNetwork biology - A basis for large-scale biomedica data mining
Network biology - A basis for large-scale biomedica data mining
Lars Juhl Jensen
 
Network biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data miningNetwork biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data mining
Lars Juhl Jensen
 
Network biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data miningNetwork biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data mining
Lars Juhl Jensen
 
Network biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data miningNetwork biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data mining
Lars Juhl Jensen
 
Making gene networks through data integration
Making gene networks through data integrationMaking gene networks through data integration
Making gene networks through data integration
Lars Juhl Jensen
 
Systems biology - Understanding biology at the systems level
Systems biology - Understanding biology at the systems levelSystems biology - Understanding biology at the systems level
Systems biology - Understanding biology at the systems level
Lars Juhl Jensen
 
Systems biology: Large-scale biomedical data mining
Systems biology: Large-scale biomedical data miningSystems biology: Large-scale biomedical data mining
Systems biology: Large-scale biomedical data mining
Lars Juhl Jensen
 
Networks of proteins and diseases
Networks of proteins and diseasesNetworks of proteins and diseases
Networks of proteins and diseases
Lars Juhl Jensen
 
Protein interaction networks
Protein interaction networksProtein interaction networks
Protein interaction networks
Lars Juhl Jensen
 

Similaire à Data Integration and Systems Biology (20)

Integration of heterogeneous data
Integration of heterogeneous dataIntegration of heterogeneous data
Integration of heterogeneous data
 
Unraveling signal transduction networks through data integration
Unraveling signal transduction networks through data integrationUnraveling signal transduction networks through data integration
Unraveling signal transduction networks through data integration
 
A linear motif atlas for phosphorylation-dependent signaling
A linear motif atlas for phosphorylation-dependent signalingA linear motif atlas for phosphorylation-dependent signaling
A linear motif atlas for phosphorylation-dependent signaling
 
Computational Biology - Signaling networks and drug repositioning
Computational Biology - Signaling networks and drug repositioningComputational Biology - Signaling networks and drug repositioning
Computational Biology - Signaling networks and drug repositioning
 
From phosphoproteomics to signaling networks
From phosphoproteomics to signaling networksFrom phosphoproteomics to signaling networks
From phosphoproteomics to signaling networks
 
Network biology - A basis for large-scale biomedica data mining
Network biology - A basis for large-scale biomedica data miningNetwork biology - A basis for large-scale biomedica data mining
Network biology - A basis for large-scale biomedica data mining
 
Network biology
Network biologyNetwork biology
Network biology
 
Network biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data miningNetwork biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data mining
 
Network biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data miningNetwork biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data mining
 
Network biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data miningNetwork biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data mining
 
Cellular network biology: Proteome-wide analysis of heterogeneous data
Cellular network biology: Proteome-wide analysis of heterogeneous dataCellular network biology: Proteome-wide analysis of heterogeneous data
Cellular network biology: Proteome-wide analysis of heterogeneous data
 
Making gene networks through data integration
Making gene networks through data integrationMaking gene networks through data integration
Making gene networks through data integration
 
Systems biology - Understanding biology at the systems level
Systems biology - Understanding biology at the systems levelSystems biology - Understanding biology at the systems level
Systems biology - Understanding biology at the systems level
 
Data integration and functional association networks
Data integration and functional association networksData integration and functional association networks
Data integration and functional association networks
 
Systems biology: Large-scale biomedical data mining
Systems biology: Large-scale biomedical data miningSystems biology: Large-scale biomedical data mining
Systems biology: Large-scale biomedical data mining
 
Networks of proteins and diseases
Networks of proteins and diseasesNetworks of proteins and diseases
Networks of proteins and diseases
 
Advanced bioinformatics of proteomics datasets
Advanced bioinformaticsof proteomics datasetsAdvanced bioinformaticsof proteomics datasets
Advanced bioinformatics of proteomics datasets
 
Unraveling signaling networks by large-scale data integration
Unraveling signaling networks by large-scale data integrationUnraveling signaling networks by large-scale data integration
Unraveling signaling networks by large-scale data integration
 
Large-scale integration of data and text
Large-scale integration of data and textLarge-scale integration of data and text
Large-scale integration of data and text
 
Protein interaction networks
Protein interaction networksProtein interaction networks
Protein interaction networks
 

Plus de Lars Juhl Jensen

Plus de Lars Juhl Jensen (20)

One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...
 
One tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicineOne tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicine
 
Extract 2.0: Text-mining-assisted interactive annotation
Extract 2.0: Text-mining-assisted interactive annotationExtract 2.0: Text-mining-assisted interactive annotation
Extract 2.0: Text-mining-assisted interactive annotation
 
Network visualization: A crash course on using Cytoscape
Network visualization: A crash course on using CytoscapeNetwork visualization: A crash course on using Cytoscape
Network visualization: A crash course on using Cytoscape
 
STRING & STITCH : Network integration of heterogeneous data
STRING & STITCH: Network integration of heterogeneous dataSTRING & STITCH: Network integration of heterogeneous data
STRING & STITCH : Network integration of heterogeneous data
 
Biomedical text mining: Automatic processing of unstructured text
Biomedical text mining: Automatic processing of unstructured textBiomedical text mining: Automatic processing of unstructured text
Biomedical text mining: Automatic processing of unstructured text
 
Medical network analysis: Linking diseases and genes through data and text mi...
Medical network analysis: Linking diseases and genes through data and text mi...Medical network analysis: Linking diseases and genes through data and text mi...
Medical network analysis: Linking diseases and genes through data and text mi...
 
Cellular networks
Cellular networksCellular networks
Cellular networks
 
Cellular Network Biology: Large-scale integration of data and text
Cellular Network Biology: Large-scale integration of data and textCellular Network Biology: Large-scale integration of data and text
Cellular Network Biology: Large-scale integration of data and text
 
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
 
STRING & related databases: Large-scale integration of heterogeneous data
STRING & related databases: Large-scale integration of heterogeneous dataSTRING & related databases: Large-scale integration of heterogeneous data
STRING & related databases: Large-scale integration of heterogeneous data
 
Tagger: Rapid dictionary-based named entity recognition
Tagger: Rapid dictionary-based named entity recognitionTagger: Rapid dictionary-based named entity recognition
Tagger: Rapid dictionary-based named entity recognition
 
Medical text mining: Linking diseases, drugs, and adverse reactions
Medical text mining: Linking diseases, drugs, and adverse reactionsMedical text mining: Linking diseases, drugs, and adverse reactions
Medical text mining: Linking diseases, drugs, and adverse reactions
 
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and textNetwork biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and text
 
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactionsMedical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
 
Cellular Network Biology
Cellular Network BiologyCellular Network Biology
Cellular Network Biology
 
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and textNetwork biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and text
 
Biomarker bioinformatics: Network-based candidate prioritization
Biomarker bioinformatics: Network-based candidate prioritizationBiomarker bioinformatics: Network-based candidate prioritization
Biomarker bioinformatics: Network-based candidate prioritization
 
The Art of Counting: Scoring and ranking co-occurrences in literature
The Art of Counting: Scoring and ranking co-occurrences in literatureThe Art of Counting: Scoring and ranking co-occurrences in literature
The Art of Counting: Scoring and ranking co-occurrences in literature
 
Text-mining-based retrieval of protein networks
Text-mining-based retrieval of protein networksText-mining-based retrieval of protein networks
Text-mining-based retrieval of protein networks
 

Dernier

Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlFuture Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Peter Udo Diehl
 

Dernier (20)

Speed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in MinutesSpeed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in Minutes
 
A Business-Centric Approach to Design System Strategy
A Business-Centric Approach to Design System StrategyA Business-Centric Approach to Design System Strategy
A Business-Centric Approach to Design System Strategy
 
Powerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara LaskowskaPowerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara Laskowska
 
Designing for Hardware Accessibility at Comcast
Designing for Hardware Accessibility at ComcastDesigning for Hardware Accessibility at Comcast
Designing for Hardware Accessibility at Comcast
 
How we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdfHow we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdf
 
Connecting the Dots in Product Design at KAYAK
Connecting the Dots in Product Design at KAYAKConnecting the Dots in Product Design at KAYAK
Connecting the Dots in Product Design at KAYAK
 
Oauth 2.0 Introduction and Flows with MuleSoft
Oauth 2.0 Introduction and Flows with MuleSoftOauth 2.0 Introduction and Flows with MuleSoft
Oauth 2.0 Introduction and Flows with MuleSoft
 
AI presentation and introduction - Retrieval Augmented Generation RAG 101
AI presentation and introduction - Retrieval Augmented Generation RAG 101AI presentation and introduction - Retrieval Augmented Generation RAG 101
AI presentation and introduction - Retrieval Augmented Generation RAG 101
 
Extensible Python: Robustness through Addition - PyCon 2024
Extensible Python: Robustness through Addition - PyCon 2024Extensible Python: Robustness through Addition - PyCon 2024
Extensible Python: Robustness through Addition - PyCon 2024
 
Secure Zero Touch enabled Edge compute with Dell NativeEdge via FDO _ Brad at...
Secure Zero Touch enabled Edge compute with Dell NativeEdge via FDO _ Brad at...Secure Zero Touch enabled Edge compute with Dell NativeEdge via FDO _ Brad at...
Secure Zero Touch enabled Edge compute with Dell NativeEdge via FDO _ Brad at...
 
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfLinux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
 
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
 
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlFuture Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
 
What's New in Teams Calling, Meetings and Devices April 2024
What's New in Teams Calling, Meetings and Devices April 2024What's New in Teams Calling, Meetings and Devices April 2024
What's New in Teams Calling, Meetings and Devices April 2024
 
ECS 2024 Teams Premium - Pretty Secure
ECS 2024   Teams Premium - Pretty SecureECS 2024   Teams Premium - Pretty Secure
ECS 2024 Teams Premium - Pretty Secure
 
Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...
Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...
Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...
 
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptxUnpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
 
10 Differences between Sales Cloud and CPQ, Blanka Doktorová
10 Differences between Sales Cloud and CPQ, Blanka Doktorová10 Differences between Sales Cloud and CPQ, Blanka Doktorová
10 Differences between Sales Cloud and CPQ, Blanka Doktorová
 
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdfThe Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
 
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
 

Data Integration and Systems Biology