SlideShare a Scribd company logo
Functional association networks   The STRING and STITCH web resources Lars Juhl Jensen EMBL Heidelberg
functional associations
 
data integration
 
STRING
 
STITCH
 
373 genomes
 
model organism databases
Ensembl
Genome Reviews
RefSeq
genomic context methods
gene fusion
 
conserved neighborhood
operons
 
bidirectional promoters
 
phylogenetic profiles
 
primary experimental data
gene coexpression
 
GEO Gene Expression Omnibus
expression compendia
protein interactions
 
genetic interactions
 
BIND Biomolecular Interaction Network Database
BioGRID General Repository for Interaction Datasets
DIP Database of Interacting Proteins
IntAct
MINT Molecular Interactions Database
HPRD Human Protein Reference Database
curated knowledge
complexes
MIPS Munich Information center for Protein Sequences
Gene Ontology
pathways
 
KEGG Kyoto Encyclopedia of Genes and Genomes
Reactome
PID NCI-Nature Pathway Interaction Database
STKE Signal Transduction Knowledge Environment
literature mining
M EDLINE
SGD Saccharomyces Genome Database
The Interactive Fly
OMIM Online Mendelian Inheritance in Man
synonyms lists
co-mentioning
 
NLP Natural Language Processing
[object Object],[object Object],[object Object],[object Object],[object Object]
too easy …
…  to be true
many data types
not comparable
different error rates
many sources
different file formats
different gene identifiers
redundancy
spread over many species
raw quality scores
reproducibility
 
intergenic distances
 
benchmarking
calibrate vs. gold standard
 
raw quality scores
probabilistic scores
transfer by orthology
 
two modes
COG mode
 
 
protein mode
 
 
 
combine all evidence
Bayesian scoring scheme
Acknowledgments ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

More Related Content

What's hot

Network biology: Large-scale data and text mining
Network biology: Large-scale data and text miningNetwork biology: Large-scale data and text mining
Network biology: Large-scale data and text mining
Lars Juhl Jensen
 
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
Lars Juhl Jensen
 
Fmicb 09-02154
Fmicb 09-02154Fmicb 09-02154
Fmicb 09-02154
Santosh Kathwate
 
Exploring proteins, chemicals and their interactions with STRING and STITCH
Exploring proteins, chemicals and their interactions with STRING and STITCHExploring proteins, chemicals and their interactions with STRING and STITCH
Exploring proteins, chemicals and their interactions with STRING and STITCH
biocs
 
Sigma xi studentresearchshowcase2018
Sigma xi studentresearchshowcase2018Sigma xi studentresearchshowcase2018
Sigma xi studentresearchshowcase2018
Ellis Torrance
 
Mb viruses
Mb virusesMb viruses
Mb viruses
Dominika Elmlund
 
Biomedical literature mining (and why we really need open access)
Biomedical literature mining (and why we really need open access)Biomedical literature mining (and why we really need open access)
Biomedical literature mining (and why we really need open access)
Lars Juhl Jensen
 
New data from giab genomes strand-seq
New data from giab genomes   strand-seqNew data from giab genomes   strand-seq
New data from giab genomes strand-seq
GenomeInABottle
 
The Genomics Revolution: The Good, The Bad, and The Ugly (UEOP16 Keynote)
The Genomics Revolution: The Good, The Bad, and The Ugly (UEOP16 Keynote)The Genomics Revolution: The Good, The Bad, and The Ugly (UEOP16 Keynote)
The Genomics Revolution: The Good, The Bad, and The Ugly (UEOP16 Keynote)
Emiliano De Cristofaro
 
Cross-species data integration
Cross-species data integrationCross-species data integration
Cross-species data integration
Lars Juhl Jensen
 
Warm up week 5
Warm up week 5Warm up week 5
Warm up week 5aroybal
 
Biomedical literature mining
Biomedical literature miningBiomedical literature mining
Biomedical literature mining
Lars Juhl Jensen
 
Mining the biomedical literature: Dictionary-based identification of proteins...
Mining the biomedical literature: Dictionary-based identification of proteins...Mining the biomedical literature: Dictionary-based identification of proteins...
Mining the biomedical literature: Dictionary-based identification of proteins...
Lars Juhl Jensen
 
Nature Of Gene.pdf
Nature Of Gene.pdfNature Of Gene.pdf
Nature Of Gene.pdf
GauravYadav883711
 
Seminario biología molecular
Seminario biología molecular Seminario biología molecular
Seminario biología molecular
IsabelaJARAMILLO1
 
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
Lars Juhl Jensen
 
Introduction to STRING
Introduction to STRINGIntroduction to STRING
Introduction to STRING
Lars Juhl Jensen
 
Smbe 2013 talk
Smbe 2013 talkSmbe 2013 talk
Smbe 2013 talk
James McInerney
 

What's hot (20)

Network biology: Large-scale data and text mining
Network biology: Large-scale data and text miningNetwork biology: Large-scale data and text mining
Network biology: Large-scale data and text mining
 
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
 
DNA Profiling
DNA ProfilingDNA Profiling
DNA Profiling
 
Fmicb 09-02154
Fmicb 09-02154Fmicb 09-02154
Fmicb 09-02154
 
Exploring proteins, chemicals and their interactions with STRING and STITCH
Exploring proteins, chemicals and their interactions with STRING and STITCHExploring proteins, chemicals and their interactions with STRING and STITCH
Exploring proteins, chemicals and their interactions with STRING and STITCH
 
Sigma xi studentresearchshowcase2018
Sigma xi studentresearchshowcase2018Sigma xi studentresearchshowcase2018
Sigma xi studentresearchshowcase2018
 
Mb viruses
Mb virusesMb viruses
Mb viruses
 
Biomedical literature mining (and why we really need open access)
Biomedical literature mining (and why we really need open access)Biomedical literature mining (and why we really need open access)
Biomedical literature mining (and why we really need open access)
 
New data from giab genomes strand-seq
New data from giab genomes   strand-seqNew data from giab genomes   strand-seq
New data from giab genomes strand-seq
 
The Genomics Revolution: The Good, The Bad, and The Ugly (UEOP16 Keynote)
The Genomics Revolution: The Good, The Bad, and The Ugly (UEOP16 Keynote)The Genomics Revolution: The Good, The Bad, and The Ugly (UEOP16 Keynote)
The Genomics Revolution: The Good, The Bad, and The Ugly (UEOP16 Keynote)
 
Cross-species data integration
Cross-species data integrationCross-species data integration
Cross-species data integration
 
Warm up week 5
Warm up week 5Warm up week 5
Warm up week 5
 
Biomedical literature mining
Biomedical literature miningBiomedical literature mining
Biomedical literature mining
 
Mining the biomedical literature: Dictionary-based identification of proteins...
Mining the biomedical literature: Dictionary-based identification of proteins...Mining the biomedical literature: Dictionary-based identification of proteins...
Mining the biomedical literature: Dictionary-based identification of proteins...
 
Nature Of Gene.pdf
Nature Of Gene.pdfNature Of Gene.pdf
Nature Of Gene.pdf
 
Bacterial plasmids
Bacterial plasmidsBacterial plasmids
Bacterial plasmids
 
Seminario biología molecular
Seminario biología molecular Seminario biología molecular
Seminario biología molecular
 
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
 
Smbe 2013 talk
Smbe 2013 talkSmbe 2013 talk
Smbe 2013 talk
 

Similar to Functional association networks - The STRING and STITCH web resources

Prediction of protein networks through data integration
Prediction of protein networks through data integrationPrediction of protein networks through data integration
Prediction of protein networks through data integration
Lars Juhl Jensen
 
Integration of heterogeneous data
Integration of heterogeneous dataIntegration of heterogeneous data
Integration of heterogeneous data
Lars Juhl Jensen
 
STRING - Modeling of biological systems through cross-species data integ...
STRING - Modeling of biological systems through cross-species data integ...STRING - Modeling of biological systems through cross-species data integ...
STRING - Modeling of biological systems through cross-species data integ...
Lars Juhl Jensen
 
Using networks to derive function
Using networks to derive functionUsing networks to derive function
Using networks to derive function
Lars Juhl Jensen
 
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
Lars Juhl Jensen
 
Computational approaches to cell cycle analysis: Data and databases
Computational approaches to cell cycle analysis: Data and databasesComputational approaches to cell cycle analysis: Data and databases
Computational approaches to cell cycle analysis: Data and databases
Lars Juhl Jensen
 
Data integration and functional association networks
Data integration and functional association networksData integration and functional association networks
Data integration and functional association networks
Lars Juhl Jensen
 
STRING: Prediction of protein networks through integration of diverse large-s...
STRING: Prediction of protein networks through integration of diverse large-s...STRING: Prediction of protein networks through integration of diverse large-s...
STRING: Prediction of protein networks through integration of diverse large-s...
Lars Juhl Jensen
 
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
Lars Juhl Jensen
 
The STITCH and Reflect web resources
The STITCH and Reflect web resourcesThe STITCH and Reflect web resources
The STITCH and Reflect web resourcesLars Juhl Jensen
 
The STITCH and Reflect web resources
The STITCH and Reflect web resourcesThe STITCH and Reflect web resources
The STITCH and Reflect web resources
Lars Juhl Jensen
 
Advanced bioinformatics of proteomics datasets
Advanced bioinformaticsof proteomics datasetsAdvanced bioinformaticsof proteomics datasets
Advanced bioinformatics of proteomics datasets
Lars Juhl Jensen
 
STRING - Prediction of a functional association network for the yeast mitocho...
STRING - Prediction of a functional association network for the yeast mitocho...STRING - Prediction of a functional association network for the yeast mitocho...
STRING - Prediction of a functional association network for the yeast mitocho...
Lars Juhl Jensen
 
Systematic discovery of phosphorylation networks - Combining linear motifs an...
Systematic discovery of phosphorylation networks - Combining linear motifs an...Systematic discovery of phosphorylation networks - Combining linear motifs an...
Systematic discovery of phosphorylation networks - Combining linear motifs an...
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 levelLars Juhl Jensen
 
Systematic discovery of phosphorylation networks - Combining linear motifs an...
Systematic discovery of phosphorylation networks - Combining linear motifs an...Systematic discovery of phosphorylation networks - Combining linear motifs an...
Systematic discovery of phosphorylation networks - Combining linear motifs an...
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 systemLars Juhl Jensen
 
Integration of diverse large-scale datasets
Integration of diverse large-scale datasetsIntegration of diverse large-scale datasets
Integration of diverse large-scale datasets
Lars Juhl Jensen
 
STRING - Prediction of functionally associated proteins from heterogeneous ge...
STRING - Prediction of functionally associated proteins from heterogeneous ge...STRING - Prediction of functionally associated proteins from heterogeneous ge...
STRING - Prediction of functionally associated proteins from heterogeneous ge...
Lars Juhl Jensen
 

Similar to Functional association networks - The STRING and STITCH web resources (20)

Prediction of protein networks through data integration
Prediction of protein networks through data integrationPrediction of protein networks through data integration
Prediction of protein networks through data integration
 
Integration of heterogeneous data
Integration of heterogeneous dataIntegration of heterogeneous data
Integration of heterogeneous data
 
STRING - Modeling of biological systems through cross-species data integ...
STRING - Modeling of biological systems through cross-species data integ...STRING - Modeling of biological systems through cross-species data integ...
STRING - Modeling of biological systems through cross-species data integ...
 
Using networks to derive function
Using networks to derive functionUsing networks to derive function
Using networks to derive function
 
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
 
Computational approaches to cell cycle analysis: Data and databases
Computational approaches to cell cycle analysis: Data and databasesComputational approaches to cell cycle analysis: Data and databases
Computational approaches to cell cycle analysis: Data and databases
 
Data integration and functional association networks
Data integration and functional association networksData integration and functional association networks
Data integration and functional association networks
 
STRING: Prediction of protein networks through integration of diverse large-s...
STRING: Prediction of protein networks through integration of diverse large-s...STRING: Prediction of protein networks through integration of diverse large-s...
STRING: Prediction of protein networks through integration of diverse large-s...
 
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
 
The STITCH and Reflect web resources
The STITCH and Reflect web resourcesThe STITCH and Reflect web resources
The STITCH and Reflect web resources
 
Information integration
Information integrationInformation integration
Information integration
 
The STITCH and Reflect web resources
The STITCH and Reflect web resourcesThe STITCH and Reflect web resources
The STITCH and Reflect web resources
 
Advanced bioinformatics of proteomics datasets
Advanced bioinformaticsof proteomics datasetsAdvanced bioinformaticsof proteomics datasets
Advanced bioinformatics of proteomics datasets
 
STRING - Prediction of a functional association network for the yeast mitocho...
STRING - Prediction of a functional association network for the yeast mitocho...STRING - Prediction of a functional association network for the yeast mitocho...
STRING - Prediction of a functional association network for the yeast mitocho...
 
Systematic discovery of phosphorylation networks - Combining linear motifs an...
Systematic discovery of phosphorylation networks - Combining linear motifs an...Systematic discovery of phosphorylation networks - Combining linear motifs an...
Systematic discovery of phosphorylation networks - Combining linear motifs an...
 
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
 
Systematic discovery of phosphorylation networks - Combining linear motifs an...
Systematic discovery of phosphorylation networks - Combining linear motifs an...Systematic discovery of phosphorylation networks - Combining linear motifs an...
Systematic discovery of phosphorylation networks - Combining linear motifs an...
 
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
 
Integration of diverse large-scale datasets
Integration of diverse large-scale datasetsIntegration of diverse large-scale datasets
Integration of diverse large-scale datasets
 
STRING - Prediction of functionally associated proteins from heterogeneous ge...
STRING - Prediction of functionally associated proteins from heterogeneous ge...STRING - Prediction of functionally associated proteins from heterogeneous ge...
STRING - Prediction of functionally associated proteins from heterogeneous ge...
 

More from Lars Juhl Jensen

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...
Lars Juhl Jensen
 
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
Lars Juhl Jensen
 
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
Lars Juhl Jensen
 
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
Lars Juhl Jensen
 
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
Lars Juhl Jensen
 
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
Lars Juhl Jensen
 
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...
Lars Juhl Jensen
 
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
Lars Juhl Jensen
 
Cellular networks
Cellular networksCellular networks
Cellular networks
Lars Juhl Jensen
 
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
Lars Juhl Jensen
 
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...
Lars Juhl Jensen
 
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
Lars Juhl Jensen
 
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
Lars Juhl Jensen
 
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
Lars Juhl Jensen
 
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
Lars Juhl Jensen
 
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
Lars Juhl Jensen
 
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
Lars Juhl Jensen
 
Cellular Network Biology
Cellular Network BiologyCellular Network Biology
Cellular Network Biology
Lars Juhl Jensen
 
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
Lars Juhl Jensen
 
Biomarker bioinformatics: Network-based candidate prioritization
Biomarker bioinformatics: Network-based candidate prioritizationBiomarker bioinformatics: Network-based candidate prioritization
Biomarker bioinformatics: Network-based candidate prioritization
Lars Juhl Jensen
 

More from 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...
 
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
 
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
 
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 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
 

Recently uploaded

To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
Paul Groth
 
Assuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyesAssuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyes
ThousandEyes
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
Ana-Maria Mihalceanu
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
Safe Software
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
BookNet Canada
 
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
Product School
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Thierry Lestable
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
Laura Byrne
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
Jemma Hussein Allen
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
ControlCase
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
Product School
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
Alison B. Lowndes
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Product School
 
Elevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object CalisthenicsElevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object Calisthenics
Dorra BARTAGUIZ
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
Elena Simperl
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
Product School
 
JMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and GrafanaJMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and Grafana
RTTS
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
Elena Simperl
 

Recently uploaded (20)

To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
 
Assuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyesAssuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyes
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
 
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
 
Elevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object CalisthenicsElevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object Calisthenics
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
 
JMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and GrafanaJMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and Grafana
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
 

Functional association networks - The STRING and STITCH web resources