SlideShare ist ein Scribd-Unternehmen logo
1 von 68
Literature Mining and Systems Biology Lars Juhl Jensen EMBL
Why?
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object]
Status ,[object Object],[object Object],[object Object]
Example ,[object Object]
Information retrieval ,[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]
 
 
 
Co-occurrence extraction ,[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 of relations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Relation extraction by NLP ,[object Object],[object Object],[object Object],[object Object]
Example ,[object Object],[object Object],[object Object],[object Object]
An NLP 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
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
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]
Outlook ,[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],[object Object]
Exercises Lars Juhl Jensen EMBL
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]

Weitere ähnliche Inhalte

Was ist angesagt?

Research project
Research project Research project
Research project
Dingquan Yu
 

Was ist angesagt? (20)

Applied text mining
Applied text miningApplied text mining
Applied text mining
 
Text mining
Text miningText mining
Text mining
 
Text mining
Text miningText mining
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
 
Biomedical text mining
Biomedical text miningBiomedical text mining
Biomedical 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
 
Mason abrf single_cell_2017
Mason abrf single_cell_2017Mason abrf single_cell_2017
Mason abrf single_cell_2017
 
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
 
Graph Analytics in Pharmacology over the Web of Life Sciences Linked Open Data
Graph Analytics in Pharmacology over the Web of Life Sciences Linked Open DataGraph Analytics in Pharmacology over the Web of Life Sciences Linked Open Data
Graph Analytics in Pharmacology over the Web of Life Sciences Linked Open Data
 
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
 
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
 
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
 
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
 
Transitioning to gr_ch38
Transitioning to gr_ch38Transitioning to gr_ch38
Transitioning to gr_ch38
 
Biomedical literature mining
Biomedical literature miningBiomedical literature mining
Biomedical literature mining
 
Research project
Research project Research project
Research project
 
Lrg and mane 16 oct 2018
Lrg and mane   16 oct 2018Lrg and mane   16 oct 2018
Lrg and mane 16 oct 2018
 

Ähnlich wie Literature Mining and Systems Biology

Text mining and data integration
Text mining and data integrationText mining and data integration
Text mining and data integration
Lars Juhl Jensen
 
Cartic Ramakrishnan's dissertation defense
Cartic Ramakrishnan's dissertation defenseCartic Ramakrishnan's dissertation defense
Cartic Ramakrishnan's dissertation defense
Cartic Ramakrishnan
 
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
Lars Juhl Jensen
 
Systems biology - Understanding biology at the systems level
Systems biology - Understanding biology at the systems levelSystems biology - Understanding biology at the systems level
Systems biology - Understanding biology at the systems level
Lars Juhl Jensen
 
100505 koenig biological_databases
100505 koenig biological_databases100505 koenig biological_databases
100505 koenig biological_databases
Meetika Gupta
 
Bioinfomatics Presentation
Bioinfomatics PresentationBioinfomatics Presentation
Bioinfomatics Presentation
Zhenhong Bao
 
Session i overview bioinfo dm and app mmc
Session i overview bioinfo dm and app mmcSession i overview bioinfo dm and app mmc
Session i overview bioinfo dm and app mmc
USD Bioinformatics
 

Ähnlich wie Literature Mining and Systems Biology (20)

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
 
Cartic Ramakrishnan's dissertation defense
Cartic Ramakrishnan's dissertation defenseCartic Ramakrishnan's dissertation defense
Cartic Ramakrishnan's dissertation defense
 
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: 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
 
Prediction of protein function
Prediction of protein functionPrediction of protein function
Prediction of protein function
 
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
 
Bioinformatics final
Bioinformatics finalBioinformatics final
Bioinformatics final
 
Transcriptomics and lexico-syntactic analysis
Transcriptomics and lexico-syntactic analysisTranscriptomics and lexico-syntactic analysis
Transcriptomics and lexico-syntactic analysis
 
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
 
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
 
100505 koenig biological_databases
100505 koenig biological_databases100505 koenig biological_databases
100505 koenig biological_databases
 
From Advanced Queries to Algorithms and Graph-Based ML: Tackling Diabetes wit...
From Advanced Queries to Algorithms and Graph-Based ML: Tackling Diabetes wit...From Advanced Queries to Algorithms and Graph-Based ML: Tackling Diabetes wit...
From Advanced Queries to Algorithms and Graph-Based ML: Tackling Diabetes wit...
 
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...
 
Bioinfomatics Presentation
Bioinfomatics PresentationBioinfomatics Presentation
Bioinfomatics Presentation
 
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
 
Utilizing literature for biological discovery
Utilizing literature for biological discoveryUtilizing literature for biological discovery
Utilizing literature for biological discovery
 
Session i overview bioinfo dm and app mmc
Session i overview bioinfo dm and app mmcSession i overview bioinfo dm and app mmc
Session i overview bioinfo dm and app mmc
 
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
 

Mehr von Lars 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

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Kürzlich hochgeladen (20)

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 

Literature Mining and Systems Biology

  • 1. Literature Mining and Systems Biology Lars Juhl Jensen EMBL
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.  
  • 9.  
  • 10.  
  • 11.  
  • 12.
  • 13.  
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.  
  • 25.  
  • 26.  
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34. [ 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 ]
  • 35.  
  • 36.
  • 37.  
  • 38.  
  • 39.
  • 40. Time
  • 42.
  • 43. Transcriptional networks 32 79 83 3592 Regulates Regulated P < 9  10 -9
  • 44. Signaling pathways 11 27 44 3704 Phosphorylates Phosphorylated P < 2  10 -7
  • 45.
  • 46.  
  • 47.  
  • 48.  
  • 49.  
  • 50.  
  • 51. RCCs
  • 52.
  • 53. G2D
  • 54.  
  • 55.
  • 56.  
  • 57.  
  • 58.
  • 59.
  • 60.
  • 61.
  • 62.
  • 63. Exercises Lars Juhl Jensen EMBL
  • 64.
  • 65.
  • 66.
  • 67.
  • 68.