SlideShare ist ein Scribd-Unternehmen logo
1 von 84
Biological Literature Mining Lars Juhl Jensen EMBL
Why?
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Status ,[object Object],[object Object],[object Object]
Example ,[object Object]
Information Retrieval and Entity Recognition Lars Juhl Jensen EMBL
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Ad hoc IR ,[object Object],[object Object],[object Object],[object Object],[object Object]
 
 
 
 
Automatic query expansion ,[object Object],[object Object],[object Object],[object Object],[object Object]
 
Document similarity ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Document clustering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Text categorization ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example ,[object Object],[object Object],[object Object],[object Object]
Machine learning ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
Entity recognition ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example ,[object Object],[object Object],[object Object]
Recognition ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Identification ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Disambiguation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
 
 
Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Information Extraction and Text/Data Mining Lars Juhl Jensen EMBL
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Co-occurrence ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example ,[object Object],[object Object],[object Object],[object Object]
 
Categorization ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
NLP ,[object Object],[object Object],[object Object],[object Object]
Example ,[object Object],[object Object],[object Object],[object Object]
Architecture ,[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]
[ expression_repression_active Btk regulates the  IL-2 gene ] [ dephosphorylation_nominal Dephosphorylation of Syk  and  Btk mediated by    SHP-1 ] [ phosphorylation_nominal phosphorylation of  Shc  by the hematopoietic cell-specific   tyrosine kinase  Syk ] [ phosphorylation_nominal the phosphorylation of the adapter protein  SHC by the Src-related kinase  Lyn ] [ phosphorylation_active Lyn also participates in [ phosphorylation  the tyrosine phosphorylation and activation of  syk ]] [ phosphorylation_active Lyn , [ negation  but not  Jak2 ] phosphorylated CrkL ] [ phosphorylation_active Lyn , [ negation  but not  Jak2 ] phosphorylated CrkL ] [ phosphorylation_active Lyn also  participates  in [ phosphorylation  the tyrosine  phosphorylation and activation of  syk ]] [ phosphorylation_nominal the  phosphorylation  of the adapter  protein   SHC by the Src-related  kinase   Lyn ] [ phosphorylation_nominal phosphorylation  of  Shc  by the hematopoietic cell-specific   tyrosine  kinase   Syk ] [ dephosphorylation_nominal Dephosphorylation  of Syk  and  Btk mediated  by    SHP-1 ] [ expression_repression_active IL-10 also decreased  [ expression  mRNA expression of  IL-2  and  IL18  cytokine receptors] [ expression_repression_active IL-10 also  decreased  [ expression   mRNA  expression  of  IL-2  and  IL18  cytokine  receptors ] [ expression_activation_passive [ expression   IL-13  expression] induced by    IL-2 + IL-18 ] [ expression_activation_passive [ expression   IL-13  expression ] induced by    IL-2  +  IL-18 ] [ expression_repression_active Btk regulates the  IL-2  gene ]
 
Mining text for nuggets ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
 
Trends ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Time
Successful genes
Buzzwords
Correlations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Transcriptional networks 32 79 83 3592 Regulates Regulated P < 9  10 -9
Signaling pathways 11 27 44 3704 Phosphorylates Phosphorylated P < 2  10 -7
Multiple regulation 8 107 47 3625 Expression Phosphorylation P < 5  10 -4
 
Integration ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
 
 
 
 
RCCs
Disease candidate genes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
G2D
 
 
 
Genotype–phenotype ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
 
Annotation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Outlook Lars Juhl Jensen EMBL
Death? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Permission denied ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Innovation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Acknowledgments ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Exercises Lars Juhl Jensen EMBL
Information retrieval ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Entity recognition ,[object Object],[object Object],[object Object],[object Object],[object Object]
Information extraction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Text mining ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Integration 1 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Integration 2 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Integration 3 ,[object Object],[object Object],[object Object],[object Object]

Weitere ähnliche Inhalte

Was ist angesagt?

Integration of biomedical literature and databases
Integration of biomedical literature and databasesIntegration of biomedical literature and databases
Integration of biomedical literature and databasesLars Juhl Jensen
 
Integration of biomedical literature and databases
Integration of biomedical literature and databasesIntegration of biomedical literature and databases
Integration of biomedical literature and databasesLars Juhl Jensen
 
Open access - making the most of biomedical literature mining
Open access - making the most of biomedical literature miningOpen access - making the most of biomedical literature mining
Open access - making the most of biomedical literature miningLars Juhl Jensen
 
CRISPR Gene Editing Congress, 25-27 February 2015 in Boston, MA
CRISPR Gene Editing Congress, 25-27 February 2015 in Boston, MACRISPR Gene Editing Congress, 25-27 February 2015 in Boston, MA
CRISPR Gene Editing Congress, 25-27 February 2015 in Boston, MADiane McKenna
 
Hippocampal transcriptomic responses to technical and biological perturbations
Hippocampal transcriptomic responses to technical and biological perturbationsHippocampal transcriptomic responses to technical and biological perturbations
Hippocampal transcriptomic responses to technical and biological perturbationsRayna Harris
 
Bda2015 tutorial-part2-data&amp;databases
Bda2015 tutorial-part2-data&amp;databasesBda2015 tutorial-part2-data&amp;databases
Bda2015 tutorial-part2-data&amp;databasesInterpretOmics
 
An Introduction to Crispr Genome Editing
An Introduction to Crispr Genome EditingAn Introduction to Crispr Genome Editing
An Introduction to Crispr Genome EditingChris Thorne
 
CRISPR Screening: the What, Why and How
CRISPR Screening: the What, Why and HowCRISPR Screening: the What, Why and How
CRISPR Screening: the What, Why and HowHorizonDiscovery
 
Who owns CRISPR? - An update on the Interference.
Who owns CRISPR? - An update on the Interference.Who owns CRISPR? - An update on the Interference.
Who owns CRISPR? - An update on the Interference.Stephen Lieb
 
Research project
Research project Research project
Research project Dingquan Yu
 
ClinVar: Getting the most from the reference assembly and reference materials
ClinVar: Getting the most from the reference assembly and reference materialsClinVar: Getting the most from the reference assembly and reference materials
ClinVar: Getting the most from the reference assembly and reference materialsGenome Reference Consortium
 
Genome Editing with CRISPR-Cas9
Genome Editing with CRISPR-Cas9Genome Editing with CRISPR-Cas9
Genome Editing with CRISPR-Cas9Lopamudra Nayak
 
GIAB Sep2016 Lightning mason chris_epi_qc
GIAB Sep2016 Lightning mason chris_epi_qcGIAB Sep2016 Lightning mason chris_epi_qc
GIAB Sep2016 Lightning mason chris_epi_qcGenomeInABottle
 
Gene Editing - Challenges and Future of CRISPR in Clinical Development
Gene Editing - Challenges and Future of CRISPR in Clinical DevelopmentGene Editing - Challenges and Future of CRISPR in Clinical Development
Gene Editing - Challenges and Future of CRISPR in Clinical DevelopmentMedpace
 

Was ist angesagt? (20)

Applied text mining
Applied text miningApplied text mining
Applied text mining
 
Text mining
Text miningText mining
Text mining
 
Biomedical text mining
Biomedical text miningBiomedical text mining
Biomedical text mining
 
Applied text mining
Applied text miningApplied text mining
Applied text mining
 
Integration of biomedical literature and databases
Integration of biomedical literature and databasesIntegration of biomedical literature and databases
Integration of biomedical literature and databases
 
Integration of biomedical literature and databases
Integration of biomedical literature and databasesIntegration of biomedical literature and databases
Integration of biomedical literature and databases
 
Open access - making the most of biomedical literature mining
Open access - making the most of biomedical literature miningOpen access - making the most of biomedical literature mining
Open access - making the most of biomedical literature mining
 
Mason abrf single_cell_2017
Mason abrf single_cell_2017Mason abrf single_cell_2017
Mason abrf single_cell_2017
 
CRISPR Gene Editing Congress, 25-27 February 2015 in Boston, MA
CRISPR Gene Editing Congress, 25-27 February 2015 in Boston, MACRISPR Gene Editing Congress, 25-27 February 2015 in Boston, MA
CRISPR Gene Editing Congress, 25-27 February 2015 in Boston, MA
 
Hippocampal transcriptomic responses to technical and biological perturbations
Hippocampal transcriptomic responses to technical and biological perturbationsHippocampal transcriptomic responses to technical and biological perturbations
Hippocampal transcriptomic responses to technical and biological perturbations
 
Bda2015 tutorial-part2-data&amp;databases
Bda2015 tutorial-part2-data&amp;databasesBda2015 tutorial-part2-data&amp;databases
Bda2015 tutorial-part2-data&amp;databases
 
An Introduction to Crispr Genome Editing
An Introduction to Crispr Genome EditingAn Introduction to Crispr Genome Editing
An Introduction to Crispr Genome Editing
 
171017 giab for giab grc workshop
171017 giab for giab grc workshop171017 giab for giab grc workshop
171017 giab for giab grc workshop
 
CRISPR Screening: the What, Why and How
CRISPR Screening: the What, Why and HowCRISPR Screening: the What, Why and How
CRISPR Screening: the What, Why and How
 
Who owns CRISPR? - An update on the Interference.
Who owns CRISPR? - An update on the Interference.Who owns CRISPR? - An update on the Interference.
Who owns CRISPR? - An update on the Interference.
 
Research project
Research project Research project
Research project
 
ClinVar: Getting the most from the reference assembly and reference materials
ClinVar: Getting the most from the reference assembly and reference materialsClinVar: Getting the most from the reference assembly and reference materials
ClinVar: Getting the most from the reference assembly and reference materials
 
Genome Editing with CRISPR-Cas9
Genome Editing with CRISPR-Cas9Genome Editing with CRISPR-Cas9
Genome Editing with CRISPR-Cas9
 
GIAB Sep2016 Lightning mason chris_epi_qc
GIAB Sep2016 Lightning mason chris_epi_qcGIAB Sep2016 Lightning mason chris_epi_qc
GIAB Sep2016 Lightning mason chris_epi_qc
 
Gene Editing - Challenges and Future of CRISPR in Clinical Development
Gene Editing - Challenges and Future of CRISPR in Clinical DevelopmentGene Editing - Challenges and Future of CRISPR in Clinical Development
Gene Editing - Challenges and Future of CRISPR in Clinical Development
 

Andere mochten auch

Data Mining and Data Warehousing
Data Mining and Data WarehousingData Mining and Data Warehousing
Data Mining and Data WarehousingAmdocs
 
Data mining slides
Data mining slidesData mining slides
Data mining slidessmj
 
Data Warehousing and Data Mining
Data Warehousing and Data MiningData Warehousing and Data Mining
Data Warehousing and Data Miningidnats
 
DATA WAREHOUSING
DATA WAREHOUSINGDATA WAREHOUSING
DATA WAREHOUSINGKing Julian
 

Andere mochten auch (6)

Data Mining and Data Warehousing
Data Mining and Data WarehousingData Mining and Data Warehousing
Data Mining and Data Warehousing
 
Data mining slides
Data mining slidesData mining slides
Data mining slides
 
Data mining
Data miningData mining
Data mining
 
Data Warehousing and Data Mining
Data Warehousing and Data MiningData Warehousing and Data Mining
Data Warehousing and Data Mining
 
DATA WAREHOUSING AND DATA MINING
DATA WAREHOUSING AND DATA MININGDATA WAREHOUSING AND DATA MINING
DATA WAREHOUSING AND DATA MINING
 
DATA WAREHOUSING
DATA WAREHOUSINGDATA WAREHOUSING
DATA WAREHOUSING
 

Ähnlich wie Biomedical literature mining

Biomedical literature mining
Biomedical literature miningBiomedical literature mining
Biomedical literature miningLars Juhl Jensen
 
Text mining for protein and small molecule relations
Text mining for protein and small molecule relationsText mining for protein and small molecule relations
Text mining for protein and small molecule relationsLars Juhl Jensen
 
Text mining and data integration
Text mining and data integrationText mining and data integration
Text mining and data integrationLars Juhl Jensen
 
Utilizing literature for biological discovery
Utilizing literature for biological discoveryUtilizing literature for biological discovery
Utilizing literature for biological discoveryLars Juhl Jensen
 
Cartic Ramakrishnan's dissertation defense
Cartic Ramakrishnan's dissertation defenseCartic Ramakrishnan's dissertation defense
Cartic Ramakrishnan's dissertation defenseCartic Ramakrishnan
 
STRING: Large-scale data and text mining
STRING: Large-scale data and text miningSTRING: Large-scale data and text mining
STRING: Large-scale data and text miningLars Juhl Jensen
 
Systems biology - Bioinformatics on complete biological systems
Systems biology - Bioinformatics on complete biological systemsSystems biology - Bioinformatics on complete biological systems
Systems biology - Bioinformatics on complete biological systemsLars 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
 
Prediction of protein function
Prediction of protein functionPrediction of protein function
Prediction of protein functionLars Juhl Jensen
 
STRING: Protein association networks
STRING: Protein association networksSTRING: Protein association networks
STRING: Protein association networksLars Juhl Jensen
 
STRING: protein association networks
STRING: protein association networksSTRING: protein association networks
STRING: protein association networksLars Juhl Jensen
 
Computational approaches to cell cycle analysis: Current research topics (tho...
Computational approaches to cell cycle analysis: Current research topics (tho...Computational approaches to cell cycle analysis: Current research topics (tho...
Computational approaches to cell cycle analysis: Current research topics (tho...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
 
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
 
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
 
EChang-SystemsBiology
EChang-SystemsBiologyEChang-SystemsBiology
EChang-SystemsBiologywebuploader
 
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 - 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
 
Transcriptomics and lexico-syntactic analysis
Transcriptomics and lexico-syntactic analysisTranscriptomics and lexico-syntactic analysis
Transcriptomics and lexico-syntactic analysisLars Juhl Jensen
 
Text Mining for Biocuration of Bacterial Infectious Diseases
Text Mining for Biocuration of Bacterial Infectious DiseasesText Mining for Biocuration of Bacterial Infectious Diseases
Text Mining for Biocuration of Bacterial Infectious DiseasesDan Sullivan, Ph.D.
 

Ähnlich wie Biomedical literature mining (20)

Biomedical literature mining
Biomedical literature miningBiomedical literature mining
Biomedical literature mining
 
Text mining for protein and small molecule relations
Text mining for protein and small molecule relationsText mining for protein and small molecule relations
Text mining for protein and small molecule relations
 
Text mining and data integration
Text mining and data integrationText mining and data integration
Text mining and data integration
 
Utilizing literature for biological discovery
Utilizing literature for biological discoveryUtilizing literature for biological discovery
Utilizing literature for biological discovery
 
Cartic Ramakrishnan's dissertation defense
Cartic Ramakrishnan's dissertation defenseCartic Ramakrishnan's dissertation defense
Cartic Ramakrishnan's dissertation defense
 
STRING: Large-scale data and text mining
STRING: Large-scale data and text miningSTRING: Large-scale data and text mining
STRING: Large-scale data and text mining
 
Systems biology - Bioinformatics on complete biological systems
Systems biology - Bioinformatics on complete biological systemsSystems biology - Bioinformatics on complete biological systems
Systems biology - Bioinformatics on complete biological systems
 
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
 
Prediction of protein function
Prediction of protein functionPrediction of protein function
Prediction of protein function
 
STRING: Protein association networks
STRING: Protein association networksSTRING: Protein association networks
STRING: Protein association networks
 
STRING: protein association networks
STRING: protein association networksSTRING: protein association networks
STRING: protein association networks
 
Computational approaches to cell cycle analysis: Current research topics (tho...
Computational approaches to cell cycle analysis: Current research topics (tho...Computational approaches to cell cycle analysis: Current research topics (tho...
Computational approaches to cell cycle analysis: Current research topics (tho...
 
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
 
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
 
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
 
EChang-SystemsBiology
EChang-SystemsBiologyEChang-SystemsBiology
EChang-SystemsBiology
 
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 - 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...
 
Transcriptomics and lexico-syntactic analysis
Transcriptomics and lexico-syntactic analysisTranscriptomics and lexico-syntactic analysis
Transcriptomics and lexico-syntactic analysis
 
Text Mining for Biocuration of Bacterial Infectious Diseases
Text Mining for Biocuration of Bacterial Infectious DiseasesText Mining for Biocuration of Bacterial Infectious Diseases
Text Mining for Biocuration of Bacterial Infectious Diseases
 

Mehr von 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
 
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
 
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
 
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
 
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 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
 
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
 

Mehr von 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...
 
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
 
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
 

Kürzlich hochgeladen

The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitecturePixlogix Infotech
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 

Kürzlich hochgeladen (20)

The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 

Biomedical literature mining

  • 1. Biological Literature Mining Lars Juhl Jensen EMBL
  • 3.
  • 4.
  • 5.
  • 6. Information Retrieval and Entity Recognition Lars Juhl Jensen EMBL
  • 7.
  • 8.
  • 9.  
  • 10.  
  • 11.  
  • 12.  
  • 13.
  • 14.  
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.  
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.  
  • 27.  
  • 28.  
  • 29.
  • 30. Information Extraction and Text/Data Mining Lars Juhl Jensen EMBL
  • 31.
  • 32.
  • 33.
  • 34.  
  • 35.
  • 36.  
  • 37.
  • 38.
  • 39.
  • 40.
  • 41. [ expression_repression_active Btk regulates the IL-2 gene ] [ dephosphorylation_nominal Dephosphorylation of Syk and Btk mediated by SHP-1 ] [ phosphorylation_nominal phosphorylation of Shc by the hematopoietic cell-specific tyrosine kinase Syk ] [ phosphorylation_nominal the phosphorylation of the adapter protein SHC by the Src-related kinase Lyn ] [ phosphorylation_active Lyn also participates in [ phosphorylation the tyrosine phosphorylation and activation of syk ]] [ phosphorylation_active Lyn , [ negation but not Jak2 ] phosphorylated CrkL ] [ phosphorylation_active Lyn , [ negation but not Jak2 ] phosphorylated CrkL ] [ phosphorylation_active Lyn also participates in [ phosphorylation the tyrosine phosphorylation and activation of syk ]] [ phosphorylation_nominal the phosphorylation of the adapter protein SHC by the Src-related kinase Lyn ] [ phosphorylation_nominal phosphorylation of Shc by the hematopoietic cell-specific tyrosine kinase Syk ] [ dephosphorylation_nominal Dephosphorylation of Syk and Btk mediated by SHP-1 ] [ expression_repression_active IL-10 also decreased [ expression mRNA expression of IL-2 and IL18 cytokine receptors] [ expression_repression_active IL-10 also decreased [ expression mRNA expression of IL-2 and IL18 cytokine receptors ] [ expression_activation_passive [ expression IL-13 expression] induced by IL-2 + IL-18 ] [ expression_activation_passive [ expression IL-13 expression ] induced by IL-2 + IL-18 ] [ expression_repression_active Btk regulates the IL-2 gene ]
  • 42.  
  • 43.
  • 44.  
  • 45.  
  • 46.
  • 47. Time
  • 50.
  • 51. Transcriptional networks 32 79 83 3592 Regulates Regulated P < 9  10 -9
  • 52. Signaling pathways 11 27 44 3704 Phosphorylates Phosphorylated P < 2  10 -7
  • 53. Multiple regulation 8 107 47 3625 Expression Phosphorylation P < 5  10 -4
  • 54.  
  • 55.
  • 56.  
  • 57.  
  • 58.  
  • 59.  
  • 60.  
  • 61. RCCs
  • 62.
  • 63. G2D
  • 64.  
  • 65.  
  • 66.  
  • 67.
  • 68.  
  • 69.  
  • 70.
  • 71.
  • 72. Outlook Lars Juhl Jensen EMBL
  • 73.
  • 74.
  • 75.
  • 76.
  • 77. Exercises Lars Juhl Jensen EMBL
  • 78.
  • 79.
  • 80.
  • 81.
  • 82.
  • 83.
  • 84.