SlideShare uma empresa Scribd logo

Data integration and functional association networks

•Transferir como PPT, PDF•
•
Lars Juhl Jensen
Lars Juhl Jensen

Exploring Modular Protein Architecture, European Molecular Biology Laboratory, Heidelberg, Germany, December 3-5, 2008

Tecnologia
1 de 99
Lars Juhl Jensen Data integration and functional association networks
Lars Juhl Jensen Data integration and functional association networks
if this is your plan
 
 
STRING
Jensen, Kuhn et al., Nucleic Acids Research , 2009
data integration
functional associations
Frishman et al., Modern Genome Annotation , 2009
the basis
630 genomes
model organism databases
Ensembl
RefSeq
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
gene coexpression
 
GEO Gene Expression Omnibus
protein interactions
Jensen & Bork, Science , 2008
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
PDB Protein Data Bank
curated knowledge
complexes
MIPS Munich Information center for Protein Sequences
Gene Ontology
pathways
Letunic & Bork, Trends in Biochemical Sciences , 2008
KEGG Kyoto Encyclopedia of Genes and Genomes
MetaCyc
Reactome
PID NCI-Nature Pathway Interaction Database
literature mining
M EDLINE
SGD Saccharomyces Genome Database
The Interactive Fly
OMIM Online Mendelian Inheritance in Man
thesaurus
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 630 genomes
raw quality scores
reproducibility
von Mering et al., Nucleic Acids Research , 2005
intergenic distances
Korbel et al., Nature Biotechnology , 2004
benchmarking
calibrate vs. gold standard
von Mering et al., Nucleic Acids Research , 2005
raw quality scores
probabilistic scores
transfer by orthology
von Mering et al., Nucleic Acids Research , 2005
two modes
COG mode
von Mering et al., Nucleic Acids Research , 2005
protein mode
von Mering et al., Nucleic Acids Research , 2005
combine all evidence
visualize
Frishman et al., Modern Genome Annotation , 2009
related resources
STITCH
 
protein–chemical network
 
Reflect
 
eggNOG
orthologous groups
 
NetworKIN
 
Linding, Jensen, Ostheimer et al., Cell , 2007
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]

Recomendados

Using networks to derive function
Using networks to derive functionUsing networks to derive function
Using networks to derive functionLars Juhl Jensen
 
Integration of heterogeneous data
Integration of heterogeneous dataIntegration of heterogeneous data
Integration of heterogeneous dataLars 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
 
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 STRINGLars 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
 
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 dataLars Juhl Jensen
 
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 textLars 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 textLars Juhl Jensen
 

Recomendados

Using networks to derive function
Using networks to derive functionUsing networks to derive function
Using networks to derive functionLars Juhl Jensen
 
Integration of heterogeneous data
Integration of heterogeneous dataIntegration of heterogeneous data
Integration of heterogeneous dataLars 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
 
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 STRINGLars 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
 
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 dataLars Juhl Jensen
 
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 textLars 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 textLars Juhl Jensen
 
From phosphoproteomics to signaling networks
From phosphoproteomics to signaling networksFrom phosphoproteomics to signaling networks
From phosphoproteomics to signaling networksLars Juhl Jensen
 
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 miningLars Juhl Jensen
 
Data and Text Mining
Data and Text MiningData and Text Mining
Data and Text MiningLars 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
 
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 miningLars Juhl Jensen
 
Cross-species data integration
Cross-species data integrationCross-species data integration
Cross-species data integrationLars Juhl Jensen
 
Introduction to STRING
Introduction to STRINGIntroduction to STRING
Introduction to STRINGLars 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
 
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 textLars Juhl Jensen
 
Unraveling cellular phosphorylation networks using computational biology
Unraveling cellular phosphorylation networks using computational biologyUnraveling cellular phosphorylation networks using computational biology
Unraveling cellular phosphorylation networks using computational biologyLars Juhl Jensen
 
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 ...Lars Juhl Jensen
 
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 integrationLars Juhl Jensen
 
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 miningLars Juhl Jensen
 
Integration of diverse large-scale datasets
Integration of diverse large-scale datasetsIntegration of diverse large-scale datasets
Integration of diverse large-scale datasetsLars Juhl Jensen
 
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 textLars Juhl Jensen
 
Large-scale data and text mining
Large-scale data and text miningLarge-scale data and text mining
Large-scale data and text miningLars 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 textLars Juhl Jensen
 
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 miningLars Juhl Jensen
 
Protein association networks: Large-scale integration of data and text
Protein association networks: Large-scale integration of data and textProtein association networks: Large-scale integration of data and text
Protein association networks: Large-scale integration of data and textLars Juhl Jensen
 
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 signalingLars Juhl Jensen
 
Using side effects for drug target identification
Using side effects for drug target identificationUsing side effects for drug target identification
Using side effects for drug target identificationLars Juhl Jensen
 
Substance searching in Reaxys - Webinar - 24 March 2015
Substance searching in Reaxys - Webinar - 24 March 2015Substance searching in Reaxys - Webinar - 24 March 2015
Substance searching in Reaxys - Webinar - 24 March 2015Ann-Marie Roche
 

Mais conteúdo relacionado

Mais procurados

From phosphoproteomics to signaling networks
From phosphoproteomics to signaling networksFrom phosphoproteomics to signaling networks
From phosphoproteomics to signaling networksLars Juhl Jensen
 
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 miningLars 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
 
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 miningLars Juhl Jensen
 
Cross-species data integration
Cross-species data integrationCross-species data integration
Cross-species data integrationLars 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
 
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 textLars Juhl Jensen
 
Unraveling cellular phosphorylation networks using computational biology
Unraveling cellular phosphorylation networks using computational biologyUnraveling cellular phosphorylation networks using computational biology
Unraveling cellular phosphorylation networks using computational biologyLars Juhl Jensen
 
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 ...Lars Juhl Jensen
 
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 integrationLars Juhl Jensen
 
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 miningLars Juhl Jensen
 
Integration of diverse large-scale datasets
Integration of diverse large-scale datasetsIntegration of diverse large-scale datasets
Integration of diverse large-scale datasetsLars Juhl Jensen
 
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 textLars Juhl Jensen
 
Large-scale data and text mining
Large-scale data and text miningLarge-scale data and text mining
Large-scale data and text miningLars 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 textLars Juhl Jensen
 
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 miningLars Juhl Jensen
 
Protein association networks: Large-scale integration of data and text
Protein association networks: Large-scale integration of data and textProtein association networks: Large-scale integration of data and text
Protein association networks: Large-scale integration of data and textLars Juhl Jensen
 

Mais procurados (19)

From phosphoproteomics to signaling networks
From phosphoproteomics to signaling networksFrom phosphoproteomics to signaling networks
From phosphoproteomics to signaling networks
 
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
 
Data and Text Mining
Data and Text MiningData and Text Mining
Data and Text Mining
 
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...
 
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
 
Cross-species data integration
Cross-species data integrationCross-species data integration
Cross-species data integration
 
Introduction to STRING
Introduction to STRINGIntroduction to STRING
Introduction to STRING
 
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
 
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
 
Unraveling cellular phosphorylation networks using computational biology
Unraveling cellular phosphorylation networks using computational biologyUnraveling cellular phosphorylation networks using computational biology
Unraveling cellular phosphorylation networks using computational biology
 
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 ...
 
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
 
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
 
Integration of diverse large-scale datasets
Integration of diverse large-scale datasetsIntegration of diverse large-scale datasets
Integration of diverse large-scale datasets
 
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
 
Large-scale data and text mining
Large-scale data and text miningLarge-scale data and text mining
Large-scale data and text mining
 
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
 
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
 
Protein association networks: Large-scale integration of data and text
Protein association networks: Large-scale integration of data and textProtein association networks: Large-scale integration of data and text
Protein association networks: Large-scale integration of data and text
 

Destaque

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 signalingLars Juhl Jensen
 
Using side effects for drug target identification
Using side effects for drug target identificationUsing side effects for drug target identification
Using side effects for drug target identificationLars Juhl Jensen
 
Substance searching in Reaxys - Webinar - 24 March 2015
Substance searching in Reaxys - Webinar - 24 March 2015Substance searching in Reaxys - Webinar - 24 March 2015
Substance searching in Reaxys - Webinar - 24 March 2015Ann-Marie Roche
 
Protein networks: A basis for large-scale data mining
Protein networks: A basis for large-scale data miningProtein networks: A basis for large-scale data mining
Protein networks: A basis for large-scale data miningLars Juhl Jensen
 
Solving Tough Chemistry Problems Using Reaxys
Solving Tough Chemistry Problems Using ReaxysSolving Tough Chemistry Problems Using Reaxys
Solving Tough Chemistry Problems Using ReaxysReaxys
 
Retrieve Relevant Results with Reaxys
Retrieve Relevant Results with ReaxysRetrieve Relevant Results with Reaxys
Retrieve Relevant Results with ReaxysReaxys
 

Destaque (7)

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
 
Using side effects for drug target identification
Using side effects for drug target identificationUsing side effects for drug target identification
Using side effects for drug target identification
 
Substance searching in Reaxys - Webinar - 24 March 2015
Substance searching in Reaxys - Webinar - 24 March 2015Substance searching in Reaxys - Webinar - 24 March 2015
Substance searching in Reaxys - Webinar - 24 March 2015
 
Protein networks: A basis for large-scale data mining
Protein networks: A basis for large-scale data miningProtein networks: A basis for large-scale data mining
Protein networks: A basis for large-scale data mining
 
Disease Systems Biology
Disease Systems BiologyDisease Systems Biology
Disease Systems Biology
 
Solving Tough Chemistry Problems Using Reaxys
Solving Tough Chemistry Problems Using ReaxysSolving Tough Chemistry Problems Using Reaxys
Solving Tough Chemistry Problems Using Reaxys
 
Retrieve Relevant Results with Reaxys
Retrieve Relevant Results with ReaxysRetrieve Relevant Results with Reaxys
Retrieve Relevant Results with Reaxys
 

Semelhante a Data integration and functional association networks

Integration of heterogeneous data
Integration of heterogeneous dataIntegration of heterogeneous data
Integration of heterogeneous dataLars Juhl Jensen
 
Unraveling signaling networks by data integration
Unraveling signaling networks by data integrationUnraveling signaling networks by data integration
Unraveling signaling networks by data integrationLars Juhl Jensen
 
Protein interaction networks
Protein interaction networksProtein interaction networks
Protein interaction networksLars Juhl Jensen
 
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 miningLars 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 textLars 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 textLars Juhl Jensen
 
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 integrationLars 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 miningLars 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 miningLars 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 textLars Juhl Jensen
 
Networks of proteins and diseases
Networks of proteins and diseasesNetworks of proteins and diseases
Networks of proteins and diseasesLars Juhl Jensen
 
Networks of proteins and diseases
Networks of proteins and diseasesNetworks of proteins and diseases
Networks of proteins and diseasesLars Juhl Jensen
 
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 miningLars Juhl Jensen
 
The STRING database and related tools
The STRING database and related toolsThe STRING database and related tools
The STRING database and related toolsLars Juhl Jensen
 
Data Integration and Systems Biology
Data Integration and Systems BiologyData Integration and Systems Biology
Data Integration and Systems BiologyLars 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 dataLars Juhl Jensen
 
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 repositioningLars Juhl Jensen
 

Semelhante a Data integration and functional association networks (20)

Integration of heterogeneous data
Integration of heterogeneous dataIntegration of heterogeneous data
Integration of heterogeneous data
 
The STRING database
The STRING databaseThe STRING database
The STRING database
 
Unraveling signaling networks by data integration
Unraveling signaling networks by data integrationUnraveling signaling networks by data integration
Unraveling signaling networks by data integration
 
Protein interaction networks
Protein interaction networksProtein interaction networks
Protein interaction networks
 
Network biology
Network biologyNetwork biology
Network biology
 
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
 
Network biology
Network biologyNetwork biology
Network biology
 
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
 
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
 
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
 
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
 
Networks of proteins and diseases
Networks of proteins and diseasesNetworks of proteins and diseases
Networks of proteins and diseases
 
Networks of proteins and diseases
Networks of proteins and diseasesNetworks of proteins and diseases
Networks of proteins and diseases
 
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
 
The STRING database and related tools
The STRING database and related toolsThe STRING database and related tools
The STRING database and related tools
 
Data Integration and Systems Biology
Data Integration and Systems BiologyData Integration and Systems Biology
Data Integration and Systems Biology
 
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
 
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
 

Mais de 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 biomedicineLars 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 annotationLars 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 CytoscapeLars 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 textLars 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 CytoscapeLars 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 textLars 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 dataLars 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 recognitionLars 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 reactionsLars 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 textLars 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 reactionsLars 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 textLars Juhl Jensen
 
Biomarker bioinformatics: Network-based candidate prioritization
Biomarker bioinformatics: Network-based candidate prioritizationBiomarker bioinformatics: Network-based candidate prioritization
Biomarker bioinformatics: Network-based candidate prioritizationLars Juhl Jensen
 
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 literatureLars Juhl Jensen
 
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 networksLars Juhl Jensen
 

Mais 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
 
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
 
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
 

Último

Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfRankYa
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
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
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DaySri Ambati
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 

Último (20)

Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
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
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 

Data integration and functional association networks