SlideShare a Scribd company logo
1 of 126
Text mining
Lars Juhl Jensen
>10 km
too much to read
exponential growth
~40 seconds per paper
computer
as smart as a dog
teach it specific tricks
learning objectives
information retrieval
named entity recognition
information extraction
benchmarking
information retrieval
find the relevant papers
ad hoc retrieval
user-specified query
“yeast AND cell cycle”
PubMed
indexing
fast lookup
stemming
word endings
dynamic query expansion
MeSH terms
Mitotic cyclin (Clb2)-bound Cdc28 (Cdk1
homolog) directly phosphorylated Swe1
and this modification served as a priming
step to promote subsequent Cdc5-
dependent Swe1 hyperphosphorylation
and degradation
no tool will find that
named entity recognition
identify the concepts
Mitotic cyclin (Clb2)-bound Cdc28 (Cdk1
homolog) directly phosphorylated Swe1
and this modification served as a priming
step to promote subsequent Cdc5-
dependent Swe1 hyperphosphorylation
and degradation
comprehensive lexicon
genes/proteins
CDC2
cyclin dependent kinase 1
chemical compounds
organisms
diseases
orthographic variation
flexible matching
upper- and lower-case
CDC2
Cdc2
spaces and hyphens
cyclin dependent kinase 1
cyclin-dependent kinase 1
expansion rules
prefixes and suffixes
CDC2
hCDC2
abbreviated forms
Saccharomyces cerevisiae
S. cerevisiae
plural/adjective forms
mitochondrion
mitochondria
“black list”
SDS
augmented browsing
EXTRACT
interactive annotation
Pafilis et al., Database, 2016extract.hcmr.gr
extract.hcmr.gr Pafilis et al., Database, 2016
information extraction
formalize the facts
Mitotic cyclin (Clb2)-bound Cdc28 (Cdk1
homolog) directly phosphorylated Swe1
and this modification served as a priming
step to promote subsequent Cdc5-
dependent Swe1 hyperphosphorylation
and degradation
two approaches
the formal way
NLP
Natural Language Processing
part-of-speech tagging
what you learned in school
pronoun pronoun verb preposition noun
sentence parsing
Gene and protein names
Cue words for entity
recognition
Verbs for relation extraction
[nxexpr The expression of
[nxgene the cytochrome
genes
[nxpg CYC1 and CYC7]]]
is controlled by
[nxpg HAP1]
Saric et al., Proceedings of ACL, 2004
association type
direction
high precision
poor recall
domain-specific
the pragmatic way
guilt by association
co-mentioning
counting
within documents
within paragraphs
within sentences
quality score
generic
protein–protein
protein–chemical
protein—disease
organism—disease
high recall
high precision
undirected associations
unknown type
benchmarking
prove that it works
the formal way
manually annotated corpus
precision
recall
shared tasks
BioCreative
BioNLP
existing corpora
not novel
create your own
much work
the pragmatic way
inspect text-mining output
precision
no recall
much less work
summary
keep it simple
domain knowledge
technical knowhow
Thanks for your attention

More Related Content

What's hot

Literature Mining and Systems Biology
Literature Mining and Systems BiologyLiterature Mining and Systems Biology
Literature Mining and Systems BiologyLars Juhl Jensen
 
Exploring proteins, chemicals and their interactions with STRING and STITCH
Exploring proteins, chemicals and their interactions with STRING and STITCHExploring proteins, chemicals and their interactions with STRING and STITCH
Exploring proteins, chemicals and their interactions with STRING and STITCHbiocs
 
Biological literature mining - from information retrieval to biological disco...
Biological literature mining - from information retrieval to biological disco...Biological literature mining - from information retrieval to biological disco...
Biological literature mining - from information retrieval to biological disco...Lars 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
 
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
 
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
 
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
 
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
 
An Introduction to Crispr Genome Editing
An Introduction to Crispr Genome EditingAn Introduction to Crispr Genome Editing
An Introduction to Crispr Genome EditingChris Thorne
 
Genetically engineered bacteria: chemical factories of the future?
Genetically engineered bacteria: chemical factories of the future?Genetically engineered bacteria: chemical factories of the future?
Genetically engineered bacteria: chemical factories of the future?Greg Crowther
 
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
 
Biotechnology review power point
Biotechnology review power pointBiotechnology review power point
Biotechnology review power pointMegan Elizabeth
 
Open biomedical knowledge using crowdsourcing and citizen science
Open biomedical knowledge using crowdsourcing and citizen scienceOpen biomedical knowledge using crowdsourcing and citizen science
Open biomedical knowledge using crowdsourcing and citizen scienceAndrew Su
 
Transhumanismo y Mejoramiento Genético mediante CRISPR
Transhumanismo y Mejoramiento Genético mediante CRISPRTranshumanismo y Mejoramiento Genético mediante CRISPR
Transhumanismo y Mejoramiento Genético mediante CRISPRBioeticared
 
Citizen Science and Rare Disease Research
Citizen Science and Rare Disease ResearchCitizen Science and Rare Disease Research
Citizen Science and Rare Disease ResearchAndrew Su
 

What's hot (20)

Literature Mining and Systems Biology
Literature Mining and Systems BiologyLiterature Mining and Systems Biology
Literature Mining and Systems Biology
 
Applied text mining
Applied text miningApplied text mining
Applied text mining
 
Exploring proteins, chemicals and their interactions with STRING and STITCH
Exploring proteins, chemicals and their interactions with STRING and STITCHExploring proteins, chemicals and their interactions with STRING and STITCH
Exploring proteins, chemicals and their interactions with STRING and STITCH
 
Biological literature mining - from information retrieval to biological disco...
Biological literature mining - from information retrieval to biological disco...Biological literature mining - from information retrieval to biological disco...
Biological literature mining - from information retrieval to biological disco...
 
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
 
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
 
Integration of biomedical literature and databases
Integration of biomedical literature and databasesIntegration of biomedical literature and databases
Integration of biomedical literature and databases
 
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
 
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
 
Mason abrf single_cell_2017
Mason abrf single_cell_2017Mason abrf single_cell_2017
Mason abrf single_cell_2017
 
Genetically engineered bacteria: chemical factories of the future?
Genetically engineered bacteria: chemical factories of the future?Genetically engineered bacteria: chemical factories of the future?
Genetically engineered bacteria: chemical factories of the future?
 
Transitioning to gr_ch38
Transitioning to gr_ch38Transitioning to gr_ch38
Transitioning to gr_ch38
 
Integration of biomedical literature and databases
Integration of biomedical literature and databasesIntegration of biomedical literature and databases
Integration of biomedical literature and databases
 
CRISPR Presentation
CRISPR PresentationCRISPR Presentation
CRISPR Presentation
 
Biotechnology review power point
Biotechnology review power pointBiotechnology review power point
Biotechnology review power point
 
Open biomedical knowledge using crowdsourcing and citizen science
Open biomedical knowledge using crowdsourcing and citizen scienceOpen biomedical knowledge using crowdsourcing and citizen science
Open biomedical knowledge using crowdsourcing and citizen science
 
Transhumanismo y Mejoramiento Genético mediante CRISPR
Transhumanismo y Mejoramiento Genético mediante CRISPRTranshumanismo y Mejoramiento Genético mediante CRISPR
Transhumanismo y Mejoramiento Genético mediante CRISPR
 
Citizen Science and Rare Disease Research
Citizen Science and Rare Disease ResearchCitizen Science and Rare Disease Research
Citizen Science and Rare Disease Research
 
Crispr
CrisprCrispr
Crispr
 

Viewers also liked

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
 
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
 
Protein association networks with STRING
Protein association networks with STRINGProtein association networks with STRING
Protein association networks with STRINGLars 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
 
Medical informatics - Linking diseases, drugs, and adverse reactions
Medical informatics - Linking diseases, drugs, and adverse reactionsMedical informatics - Linking diseases, drugs, and adverse reactions
Medical informatics - Linking diseases, drugs, and adverse reactionsLars Juhl Jensen
 
Automatic Term Ambiguity Detection
Automatic Term Ambiguity DetectionAutomatic Term Ambiguity Detection
Automatic Term Ambiguity DetectionYunyao Li
 
Exploring Linked Data content through network analysis
Exploring Linked Data content through network analysisExploring Linked Data content through network analysis
Exploring Linked Data content through network analysisChristophe Guéret
 
Linked Data: What’s the Story?
Linked Data: What’s the Story?Linked Data: What’s the Story?
Linked Data: What’s the Story?WiLS
 
A Comparison of NER Tools w.r.t. a Domain-Specific Vocabulary
A Comparison of NER Tools w.r.t. a Domain-Specific VocabularyA Comparison of NER Tools w.r.t. a Domain-Specific Vocabulary
A Comparison of NER Tools w.r.t. a Domain-Specific VocabularyTimm Heuss
 
SYNERGY - A Named Entity Recognition System for Resource-scarce Languages suc...
SYNERGY - A Named Entity Recognition System for Resource-scarce Languages suc...SYNERGY - A Named Entity Recognition System for Resource-scarce Languages suc...
SYNERGY - A Named Entity Recognition System for Resource-scarce Languages suc...Guy De Pauw
 
Universal Topic Classification - Named Entity Disambiguation (IKS Workshop Pa...
Universal Topic Classification - Named Entity Disambiguation (IKS Workshop Pa...Universal Topic Classification - Named Entity Disambiguation (IKS Workshop Pa...
Universal Topic Classification - Named Entity Disambiguation (IKS Workshop Pa...Olivier Grisel
 
Understanding Named-Entity Recognition (NER)
Understanding Named-Entity Recognition (NER) Understanding Named-Entity Recognition (NER)
Understanding Named-Entity Recognition (NER) Stephen Shellman
 
The named entity recognition (ner)2
The named entity recognition (ner)2The named entity recognition (ner)2
The named entity recognition (ner)2Arabic_NLP_ImamU2013
 
QER : query entity recognition
QER : query entity recognitionQER : query entity recognition
QER : query entity recognitionDhwaj Raj
 
Named Entity Recognition - ACL 2011 Presentation
Named Entity Recognition - ACL 2011 PresentationNamed Entity Recognition - ACL 2011 Presentation
Named Entity Recognition - ACL 2011 PresentationRichard Littauer
 
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
 

Viewers also liked (20)

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
 
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
 
Protein association networks with STRING
Protein association networks with STRINGProtein association networks with STRING
Protein association networks with STRING
 
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
 
Text-mining practical
Text-mining practicalText-mining practical
Text-mining practical
 
Medical informatics - Linking diseases, drugs, and adverse reactions
Medical informatics - Linking diseases, drugs, and adverse reactionsMedical informatics - Linking diseases, drugs, and adverse reactions
Medical informatics - Linking diseases, drugs, and adverse reactions
 
Automatic Term Ambiguity Detection
Automatic Term Ambiguity DetectionAutomatic Term Ambiguity Detection
Automatic Term Ambiguity Detection
 
Exploring Linked Data content through network analysis
Exploring Linked Data content through network analysisExploring Linked Data content through network analysis
Exploring Linked Data content through network analysis
 
Linked Data: What’s the Story?
Linked Data: What’s the Story?Linked Data: What’s the Story?
Linked Data: What’s the Story?
 
A Comparison of NER Tools w.r.t. a Domain-Specific Vocabulary
A Comparison of NER Tools w.r.t. a Domain-Specific VocabularyA Comparison of NER Tools w.r.t. a Domain-Specific Vocabulary
A Comparison of NER Tools w.r.t. a Domain-Specific Vocabulary
 
Entity Search Engine
Entity Search Engine Entity Search Engine
Entity Search Engine
 
SYNERGY - A Named Entity Recognition System for Resource-scarce Languages suc...
SYNERGY - A Named Entity Recognition System for Resource-scarce Languages suc...SYNERGY - A Named Entity Recognition System for Resource-scarce Languages suc...
SYNERGY - A Named Entity Recognition System for Resource-scarce Languages suc...
 
Universal Topic Classification - Named Entity Disambiguation (IKS Workshop Pa...
Universal Topic Classification - Named Entity Disambiguation (IKS Workshop Pa...Universal Topic Classification - Named Entity Disambiguation (IKS Workshop Pa...
Universal Topic Classification - Named Entity Disambiguation (IKS Workshop Pa...
 
Multlingual Linked Data Patterns
Multlingual Linked Data PatternsMultlingual Linked Data Patterns
Multlingual Linked Data Patterns
 
Understanding Named-Entity Recognition (NER)
Understanding Named-Entity Recognition (NER) Understanding Named-Entity Recognition (NER)
Understanding Named-Entity Recognition (NER)
 
The named entity recognition (ner)2
The named entity recognition (ner)2The named entity recognition (ner)2
The named entity recognition (ner)2
 
QER : query entity recognition
QER : query entity recognitionQER : query entity recognition
QER : query entity recognition
 
Named Entity Recognition - ACL 2011 Presentation
Named Entity Recognition - ACL 2011 PresentationNamed Entity Recognition - ACL 2011 Presentation
Named Entity Recognition - ACL 2011 Presentation
 
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 ...
 

Similar to Text mining

Text mining and data integration
Text mining and data integrationText mining and data integration
Text mining and data integrationLars 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
 
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
 
Mining the biomedical literature: Dictionary-based identification of proteins...
Mining the biomedical literature: Dictionary-based identification of proteins...Mining the biomedical literature: Dictionary-based identification of proteins...
Mining the biomedical literature: Dictionary-based identification of proteins...Lars Juhl Jensen
 
Dictionary-based named entity recognition
Dictionary-based named entity recognitionDictionary-based named entity recognition
Dictionary-based named entity recognitionLars 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
 
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
 
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
 
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
 
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
 
Biomedical literature mining
Biomedical literature miningBiomedical literature mining
Biomedical literature miningLars Juhl Jensen
 
Large-scale data and text mining - Linking proteins, chemicals, and side effects
Large-scale data and text mining - Linking proteins, chemicals, and side effectsLarge-scale data and text mining - Linking proteins, chemicals, and side effects
Large-scale data and text mining - Linking proteins, chemicals, and side effectsLars Juhl Jensen
 
UCSD Deans and Chairs Presentation - PDB & Drug Discovery
UCSD Deans and Chairs Presentation - PDB & Drug DiscoveryUCSD Deans and Chairs Presentation - PDB & Drug Discovery
UCSD Deans and Chairs Presentation - PDB & Drug DiscoveryPhilip Bourne
 
Quantified Self On Being A Personal Genomic Observatory
Quantified Self On Being A Personal Genomic ObservatoryQuantified Self On Being A Personal Genomic Observatory
Quantified Self On Being A Personal Genomic ObservatoryLarry Smarr
 
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
 
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
 
Primer on Epigenetics given at the IRSF family conference 2011
Primer on Epigenetics given at the IRSF family conference 2011Primer on Epigenetics given at the IRSF family conference 2011
Primer on Epigenetics given at the IRSF family conference 2011Christopher Wynder
 

Similar to Text mining (20)

Text mining and data integration
Text mining and data integrationText mining and data integration
Text mining and data integration
 
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...
 
Text mining
Text miningText mining
Text 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
 
Mining the biomedical literature: Dictionary-based identification of proteins...
Mining the biomedical literature: Dictionary-based identification of proteins...Mining the biomedical literature: Dictionary-based identification of proteins...
Mining the biomedical literature: Dictionary-based identification of proteins...
 
Dictionary-based named entity recognition
Dictionary-based named entity recognitionDictionary-based named entity recognition
Dictionary-based named entity recognition
 
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
 
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
 
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
 
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
 
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
 
Biomedical literature mining
Biomedical literature miningBiomedical literature mining
Biomedical literature mining
 
Large-scale data and text mining - Linking proteins, chemicals, and side effects
Large-scale data and text mining - Linking proteins, chemicals, and side effectsLarge-scale data and text mining - Linking proteins, chemicals, and side effects
Large-scale data and text mining - Linking proteins, chemicals, and side effects
 
UCSD Deans and Chairs Presentation - PDB & Drug Discovery
UCSD Deans and Chairs Presentation - PDB & Drug DiscoveryUCSD Deans and Chairs Presentation - PDB & Drug Discovery
UCSD Deans and Chairs Presentation - PDB & Drug Discovery
 
Quantified Self On Being A Personal Genomic Observatory
Quantified Self On Being A Personal Genomic ObservatoryQuantified Self On Being A Personal Genomic Observatory
Quantified Self On Being A Personal Genomic Observatory
 
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
 
Primer on Epigenetics given at the IRSF family conference 2011
Primer on Epigenetics given at the IRSF family conference 2011Primer on Epigenetics given at the IRSF family conference 2011
Primer on Epigenetics given at the IRSF family conference 2011
 
IPK abstract
IPK abstractIPK abstract
IPK abstract
 

More from Lars Juhl Jensen

One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...Lars Juhl Jensen
 
One tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicineOne tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for 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
 
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
 
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
 

More from Lars Juhl Jensen (20)

One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...
 
One tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicineOne tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicine
 
Extract 2.0: Text-mining-assisted interactive annotation
Extract 2.0: Text-mining-assisted interactive annotationExtract 2.0: Text-mining-assisted interactive annotation
Extract 2.0: Text-mining-assisted interactive annotation
 
Network visualization: A crash course on using Cytoscape
Network visualization: A crash course on using CytoscapeNetwork visualization: A crash course on using Cytoscape
Network visualization: A crash course on using Cytoscape
 
STRING & STITCH : Network integration of heterogeneous data
STRING & STITCH: Network integration of heterogeneous dataSTRING & STITCH: Network integration of heterogeneous data
STRING & STITCH : Network integration of heterogeneous data
 
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
 
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
 

Recently uploaded

6.1 Pests of Groundnut_Binomics_Identification_Dr.UPR
6.1 Pests of Groundnut_Binomics_Identification_Dr.UPR6.1 Pests of Groundnut_Binomics_Identification_Dr.UPR
6.1 Pests of Groundnut_Binomics_Identification_Dr.UPRPirithiRaju
 
Unveiling the Cannabis Plant’s Potential
Unveiling the Cannabis Plant’s PotentialUnveiling the Cannabis Plant’s Potential
Unveiling the Cannabis Plant’s PotentialMarkus Roggen
 
GenAI talk for Young at Wageningen University & Research (WUR) March 2024
GenAI talk for Young at Wageningen University & Research (WUR) March 2024GenAI talk for Young at Wageningen University & Research (WUR) March 2024
GenAI talk for Young at Wageningen University & Research (WUR) March 2024Jene van der Heide
 
6.2 Pests of Sesame_Identification_Binomics_Dr.UPR
6.2 Pests of Sesame_Identification_Binomics_Dr.UPR6.2 Pests of Sesame_Identification_Binomics_Dr.UPR
6.2 Pests of Sesame_Identification_Binomics_Dr.UPRPirithiRaju
 
GLYCOSIDES Classification Of GLYCOSIDES Chemical Tests Glycosides
GLYCOSIDES Classification Of GLYCOSIDES  Chemical Tests GlycosidesGLYCOSIDES Classification Of GLYCOSIDES  Chemical Tests Glycosides
GLYCOSIDES Classification Of GLYCOSIDES Chemical Tests GlycosidesNandakishor Bhaurao Deshmukh
 
DNA isolation molecular biology practical.pptx
DNA isolation molecular biology practical.pptxDNA isolation molecular biology practical.pptx
DNA isolation molecular biology practical.pptxGiDMOh
 
BACTERIAL SECRETION SYSTEM by Dr. Chayanika Das
BACTERIAL SECRETION SYSTEM by Dr. Chayanika DasBACTERIAL SECRETION SYSTEM by Dr. Chayanika Das
BACTERIAL SECRETION SYSTEM by Dr. Chayanika DasChayanika Das
 
cybrids.pptx production_advanges_limitation
cybrids.pptx production_advanges_limitationcybrids.pptx production_advanges_limitation
cybrids.pptx production_advanges_limitationSanghamitraMohapatra5
 
Observational constraints on mergers creating magnetism in massive stars
Observational constraints on mergers creating magnetism in massive starsObservational constraints on mergers creating magnetism in massive stars
Observational constraints on mergers creating magnetism in massive starsSérgio Sacani
 
Introduction of Human Body & Structure of cell.pptx
Introduction of Human Body & Structure of cell.pptxIntroduction of Human Body & Structure of cell.pptx
Introduction of Human Body & Structure of cell.pptxMedical College
 
GENERAL PHYSICS 2 REFRACTION OF LIGHT SENIOR HIGH SCHOOL GENPHYS2.pptx
GENERAL PHYSICS 2 REFRACTION OF LIGHT SENIOR HIGH SCHOOL GENPHYS2.pptxGENERAL PHYSICS 2 REFRACTION OF LIGHT SENIOR HIGH SCHOOL GENPHYS2.pptx
GENERAL PHYSICS 2 REFRACTION OF LIGHT SENIOR HIGH SCHOOL GENPHYS2.pptxRitchAndruAgustin
 
CHROMATOGRAPHY PALLAVI RAWAT.pptx
CHROMATOGRAPHY  PALLAVI RAWAT.pptxCHROMATOGRAPHY  PALLAVI RAWAT.pptx
CHROMATOGRAPHY PALLAVI RAWAT.pptxpallavirawat456
 
Abnormal LFTs rate of deco and NAFLD.pptx
Abnormal LFTs rate of deco and NAFLD.pptxAbnormal LFTs rate of deco and NAFLD.pptx
Abnormal LFTs rate of deco and NAFLD.pptxzeus70441
 
ESSENTIAL FEATURES REQUIRED FOR ESTABLISHING FOUR TYPES OF BIOSAFETY LABORATO...
ESSENTIAL FEATURES REQUIRED FOR ESTABLISHING FOUR TYPES OF BIOSAFETY LABORATO...ESSENTIAL FEATURES REQUIRED FOR ESTABLISHING FOUR TYPES OF BIOSAFETY LABORATO...
ESSENTIAL FEATURES REQUIRED FOR ESTABLISHING FOUR TYPES OF BIOSAFETY LABORATO...Chayanika Das
 
DETECTION OF MUTATION BY CLB METHOD.pptx
DETECTION OF MUTATION BY CLB METHOD.pptxDETECTION OF MUTATION BY CLB METHOD.pptx
DETECTION OF MUTATION BY CLB METHOD.pptx201bo007
 
FBI Profiling - Forensic Psychology.pptx
FBI Profiling - Forensic Psychology.pptxFBI Profiling - Forensic Psychology.pptx
FBI Profiling - Forensic Psychology.pptxPayal Shrivastava
 
Timeless Cosmology: Towards a Geometric Origin of Cosmological Correlations
Timeless Cosmology: Towards a Geometric Origin of Cosmological CorrelationsTimeless Cosmology: Towards a Geometric Origin of Cosmological Correlations
Timeless Cosmology: Towards a Geometric Origin of Cosmological CorrelationsDanielBaumann11
 
Oxo-Acids of Halogens and their Salts.pptx
Oxo-Acids of Halogens and their Salts.pptxOxo-Acids of Halogens and their Salts.pptx
Oxo-Acids of Halogens and their Salts.pptxfarhanvvdk
 

Recently uploaded (20)

6.1 Pests of Groundnut_Binomics_Identification_Dr.UPR
6.1 Pests of Groundnut_Binomics_Identification_Dr.UPR6.1 Pests of Groundnut_Binomics_Identification_Dr.UPR
6.1 Pests of Groundnut_Binomics_Identification_Dr.UPR
 
Unveiling the Cannabis Plant’s Potential
Unveiling the Cannabis Plant’s PotentialUnveiling the Cannabis Plant’s Potential
Unveiling the Cannabis Plant’s Potential
 
GenAI talk for Young at Wageningen University & Research (WUR) March 2024
GenAI talk for Young at Wageningen University & Research (WUR) March 2024GenAI talk for Young at Wageningen University & Research (WUR) March 2024
GenAI talk for Young at Wageningen University & Research (WUR) March 2024
 
6.2 Pests of Sesame_Identification_Binomics_Dr.UPR
6.2 Pests of Sesame_Identification_Binomics_Dr.UPR6.2 Pests of Sesame_Identification_Binomics_Dr.UPR
6.2 Pests of Sesame_Identification_Binomics_Dr.UPR
 
GLYCOSIDES Classification Of GLYCOSIDES Chemical Tests Glycosides
GLYCOSIDES Classification Of GLYCOSIDES  Chemical Tests GlycosidesGLYCOSIDES Classification Of GLYCOSIDES  Chemical Tests Glycosides
GLYCOSIDES Classification Of GLYCOSIDES Chemical Tests Glycosides
 
Introduction Classification Of Alkaloids
Introduction Classification Of AlkaloidsIntroduction Classification Of Alkaloids
Introduction Classification Of Alkaloids
 
DNA isolation molecular biology practical.pptx
DNA isolation molecular biology practical.pptxDNA isolation molecular biology practical.pptx
DNA isolation molecular biology practical.pptx
 
BACTERIAL SECRETION SYSTEM by Dr. Chayanika Das
BACTERIAL SECRETION SYSTEM by Dr. Chayanika DasBACTERIAL SECRETION SYSTEM by Dr. Chayanika Das
BACTERIAL SECRETION SYSTEM by Dr. Chayanika Das
 
cybrids.pptx production_advanges_limitation
cybrids.pptx production_advanges_limitationcybrids.pptx production_advanges_limitation
cybrids.pptx production_advanges_limitation
 
Interferons.pptx.
Interferons.pptx.Interferons.pptx.
Interferons.pptx.
 
Observational constraints on mergers creating magnetism in massive stars
Observational constraints on mergers creating magnetism in massive starsObservational constraints on mergers creating magnetism in massive stars
Observational constraints on mergers creating magnetism in massive stars
 
Introduction of Human Body & Structure of cell.pptx
Introduction of Human Body & Structure of cell.pptxIntroduction of Human Body & Structure of cell.pptx
Introduction of Human Body & Structure of cell.pptx
 
GENERAL PHYSICS 2 REFRACTION OF LIGHT SENIOR HIGH SCHOOL GENPHYS2.pptx
GENERAL PHYSICS 2 REFRACTION OF LIGHT SENIOR HIGH SCHOOL GENPHYS2.pptxGENERAL PHYSICS 2 REFRACTION OF LIGHT SENIOR HIGH SCHOOL GENPHYS2.pptx
GENERAL PHYSICS 2 REFRACTION OF LIGHT SENIOR HIGH SCHOOL GENPHYS2.pptx
 
CHROMATOGRAPHY PALLAVI RAWAT.pptx
CHROMATOGRAPHY  PALLAVI RAWAT.pptxCHROMATOGRAPHY  PALLAVI RAWAT.pptx
CHROMATOGRAPHY PALLAVI RAWAT.pptx
 
Abnormal LFTs rate of deco and NAFLD.pptx
Abnormal LFTs rate of deco and NAFLD.pptxAbnormal LFTs rate of deco and NAFLD.pptx
Abnormal LFTs rate of deco and NAFLD.pptx
 
ESSENTIAL FEATURES REQUIRED FOR ESTABLISHING FOUR TYPES OF BIOSAFETY LABORATO...
ESSENTIAL FEATURES REQUIRED FOR ESTABLISHING FOUR TYPES OF BIOSAFETY LABORATO...ESSENTIAL FEATURES REQUIRED FOR ESTABLISHING FOUR TYPES OF BIOSAFETY LABORATO...
ESSENTIAL FEATURES REQUIRED FOR ESTABLISHING FOUR TYPES OF BIOSAFETY LABORATO...
 
DETECTION OF MUTATION BY CLB METHOD.pptx
DETECTION OF MUTATION BY CLB METHOD.pptxDETECTION OF MUTATION BY CLB METHOD.pptx
DETECTION OF MUTATION BY CLB METHOD.pptx
 
FBI Profiling - Forensic Psychology.pptx
FBI Profiling - Forensic Psychology.pptxFBI Profiling - Forensic Psychology.pptx
FBI Profiling - Forensic Psychology.pptx
 
Timeless Cosmology: Towards a Geometric Origin of Cosmological Correlations
Timeless Cosmology: Towards a Geometric Origin of Cosmological CorrelationsTimeless Cosmology: Towards a Geometric Origin of Cosmological Correlations
Timeless Cosmology: Towards a Geometric Origin of Cosmological Correlations
 
Oxo-Acids of Halogens and their Salts.pptx
Oxo-Acids of Halogens and their Salts.pptxOxo-Acids of Halogens and their Salts.pptx
Oxo-Acids of Halogens and their Salts.pptx
 

Text mining