SlideShare una empresa de Scribd logo

Unraveling cellular phosphorylation networks using computational biology

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

BRIC/LEO Minisymposium on Protein Kinases in Health and Disease, Copenhagen Biocenter, Copenhagen, September 26, 2008

Tecnología
1 de 137
Unraveling cellular phosphorylation networks using computational biology Lars Juhl Jensen EMBL Heidelberg
the problem
Oda & Kitano, Molecular Systems Biology , 2006
a good start
long way to go
the toolbox
mass spectrometry
Linding, Jensen, Ostheimer et al., Cell , 2007
phosphorylation sites
in vivo
kinases are unknown
peptide assays
Miller, Jensen et al., Science Signaling , 2008
sequence specificity
kinase-specific
in vitro
no context
what a kinase could do
not what it actually does
computational methods
sequence specificity
Miller, Jensen et al., Science Signaling , 2008
kinase-specific
no context
what a kinase could do
not what it actually does
in vitro
in vivo
context
localization
expression
co-activators
scaffolders
association networks
Linding, Jensen, Ostheimer et al., Cell , 2007
the idea
mass spectrometry
phosphorylation sites
sequence motifs
sequence specificity
association network
context
in vitro
in vivo
Linding, Jensen, Ostheimer et al., Cell , 2007
the sequence motifs
NetPhorest
Miller, Jensen et al., Science Signaling , 2008
pipeline
data organization
Miller, Jensen et al., Science Signaling , 2008
compilation of datasets
Miller, Jensen et al., Science Signaling , 2008
redundancy reduction
Miller, Jensen et al., Science Signaling , 2008
cross-validation partitioning
Miller, Jensen et al., Science Signaling , 2008
training and evaluation
classifier selection
Miller, Jensen et al., Science Signaling , 2008
motif atlas
 
179 kinases
93 SH2 domains
8 PTB domains
BRCT domains
WW domains
14-3-3 proteins
benchmarking
Miller, Jensen et al., Science Signaling , 2008
low-specificity kinases
disease-related kinases
Miller, Jensen et al., Science Signaling , 2008
docking domains
Miller, Jensen et al., Science Signaling , 2008
the context network
STRING
functional associations
373 genomes
Jensen et al., Nucleic Acids Research , 2008
genomic context methods
gene fusion
Korbel et al., Nature Biotechnology , 2004
conserved neighborhood
Korbel et al., Nature Biotechnology , 2004
phylogenetic profiles
Korbel et al., Nature Biotechnology , 2004
primary experimental data
protein interactions
Jensen & Bork, Science , 2008
gene coexpression
 
literature mining
 
curated knowledge
Letunic & Bork, Trends in Biochemical Sciences , 2008
different formats
parsers
different gene identifiers
thesaurus
redundancy
bookkeeping
variable reliability
benchmarking
von Mering et al., Nucleic Acids Research , 2005
spread over many species
transfer by orthology
von Mering et al., Nucleic Acids Research , 2005
combine all evidence
Linding, Jensen, Ostheimer et al., Cell , 2007
the results
NetworKIN
123 kinases
5515 substrates
21,702 sites
benchmarking
Phospho.ELM
Linding, Jensen, Ostheimer et al., Cell , 2007
2.5-fold better accuracy
context is crucial
localization
Linding, Jensen, Ostheimer et al., Cell , 2007
ATM signaling
Linding, Jensen, Ostheimer et al., Cell , 2007
Linding, Jensen, Ostheimer et al., Cell , 2007
small-scale validation
ATM phosphorylates Rad50
Linding, Jensen, Ostheimer et al., Cell , 2007
Cdk1 phosphorylates 53BP1
Linding, Jensen, Ostheimer et al., Cell , 2007
high-throughput validation
multiple reaction monitoring
Linding, Jensen, Ostheimer et al., Cell , 2007
systematic validation
design optimal experiments
Acknowledgments ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Want to work on this project?

Recomendados

Data Integration and Systems Biology
Data Integration and Systems BiologyData Integration and Systems Biology
Data Integration and Systems BiologyLars Juhl Jensen
 
Unraveling signaling networks by large-scale data integration
Unraveling signaling networks by large-scale data integrationUnraveling signaling networks by large-scale data integration
Unraveling signaling networks by large-scale data integrationLars Juhl Jensen
 
Unraveling signal transduction networks through data integration
Unraveling signal transduction networks through data integrationUnraveling signal transduction networks through data integration
Unraveling signal transduction networks through data integrationLars Juhl Jensen
 
Combining sequence motifs and protein interactions to unravel complex phospho...
Combining sequence motifs and protein interactions to unravel complex phospho...Combining sequence motifs and protein interactions to unravel complex phospho...
Combining sequence motifs and protein interactions to unravel complex phospho...Lars Juhl Jensen
 
Cross-species data integration
Cross-species data integrationCross-species data integration
Cross-species data integrationLars Juhl Jensen
 
Data integration and functional association networks
Data integration and functional association networksData integration and functional association networks
Data integration and functional association networksLars Juhl Jensen
 
Using networks to derive function
Using networks to derive functionUsing networks to derive function
Using networks to derive functionLars 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
 

Recomendados

Data Integration and Systems Biology
Data Integration and Systems BiologyData Integration and Systems Biology
Data Integration and Systems BiologyLars Juhl Jensen
 
Unraveling signaling networks by large-scale data integration
Unraveling signaling networks by large-scale data integrationUnraveling signaling networks by large-scale data integration
Unraveling signaling networks by large-scale data integrationLars Juhl Jensen
 
Unraveling signal transduction networks through data integration
Unraveling signal transduction networks through data integrationUnraveling signal transduction networks through data integration
Unraveling signal transduction networks through data integrationLars Juhl Jensen
 
Combining sequence motifs and protein interactions to unravel complex phospho...
Combining sequence motifs and protein interactions to unravel complex phospho...Combining sequence motifs and protein interactions to unravel complex phospho...
Combining sequence motifs and protein interactions to unravel complex phospho...Lars Juhl Jensen
 
Cross-species data integration
Cross-species data integrationCross-species data integration
Cross-species data integrationLars Juhl Jensen
 
Data integration and functional association networks
Data integration and functional association networksData integration and functional association networks
Data integration and functional association networksLars Juhl Jensen
 
Using networks to derive function
Using networks to derive functionUsing networks to derive function
Using networks to derive functionLars 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
 
Go users meeting, unknowns
Go users meeting, unknownsGo users meeting, unknowns
Go users meeting, unknownsValerie Wood
 
Arraygen bioinformatics ppt
Arraygen bioinformatics pptArraygen bioinformatics ppt
Arraygen bioinformatics pptArraygenrajeshmahato
 
Large-scale data and text mining
Large-scale data and text miningLarge-scale data and text mining
Large-scale data and text miningLars Juhl Jensen
 
Molecular folding
Molecular foldingMolecular folding
Molecular foldinglauris2093
 
Telomere paper
Telomere paperTelomere paper
Telomere paperGarielle Wagnac
 
Molecular folding
Molecular foldingMolecular folding
Molecular foldinglauris2093
 
The implications of cellular dedifferentiation for regenerative medicine
The implications of cellular dedifferentiation for regenerative medicineThe implications of cellular dedifferentiation for regenerative medicine
The implications of cellular dedifferentiation for regenerative medicineDiaz Bai
 
The STITCH and Reflect web resources
The STITCH and Reflect web resourcesThe STITCH and Reflect web resources
The STITCH and Reflect web resourcesLars Juhl Jensen
 
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: 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
 
Plegable Luisa Fda Naranjo P
Plegable Luisa Fda Naranjo PPlegable Luisa Fda Naranjo P
Plegable Luisa Fda Naranjo PLuisaNaranjoP
 
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
 
Systems Biology Approaches to Cancer
Systems Biology Approaches to CancerSystems Biology Approaches to Cancer
Systems Biology Approaches to CancerRaunak Shrestha
 
How dna works
How dna worksHow dna works
How dna worksAllyse Fritz
 
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
 
Protein–protein interaction networks
Protein–protein interaction networksProtein–protein interaction networks
Protein–protein interaction networksLars Juhl Jensen
 
Ivan_Turner_Publications_Training_References
Ivan_Turner_Publications_Training_ReferencesIvan_Turner_Publications_Training_References
Ivan_Turner_Publications_Training_ReferencesIvan Turner Jr
 
Project.2020 ravera
Project.2020 raveraProject.2020 ravera
Project.2020 raveraFrancescaRavera
 
How DNA Works Notes
How DNA Works NotesHow DNA Works Notes
How DNA Works Notesknewton1314
 
Syllabus of b.sc_electronics_semester_pattern2013
Syllabus of b.sc_electronics_semester_pattern2013Syllabus of b.sc_electronics_semester_pattern2013
Syllabus of b.sc_electronics_semester_pattern2013SRR Govt. Degree & PG College
 
ODDT beta-user guide-v0.9.12amc
ODDT beta-user guide-v0.9.12amcODDT beta-user guide-v0.9.12amc
ODDT beta-user guide-v0.9.12amcSean Ekins
 

Más contenido relacionado

La actualidad más candente

Go users meeting, unknowns
Go users meeting, unknownsGo users meeting, unknowns
Go users meeting, unknownsValerie Wood
 
Large-scale data and text mining
Large-scale data and text miningLarge-scale data and text mining
Large-scale data and text miningLars Juhl Jensen
 
Molecular folding
Molecular foldingMolecular folding
Molecular foldinglauris2093
 
Molecular folding
Molecular foldingMolecular folding
Molecular foldinglauris2093
 
The implications of cellular dedifferentiation for regenerative medicine
The implications of cellular dedifferentiation for regenerative medicineThe implications of cellular dedifferentiation for regenerative medicine
The implications of cellular dedifferentiation for regenerative medicineDiaz Bai
 
The STITCH and Reflect web resources
The STITCH and Reflect web resourcesThe STITCH and Reflect web resources
The STITCH and Reflect web resourcesLars Juhl Jensen
 
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: 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
 
Plegable Luisa Fda Naranjo P
Plegable Luisa Fda Naranjo PPlegable Luisa Fda Naranjo P
Plegable Luisa Fda Naranjo PLuisaNaranjoP
 
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
 
Systems Biology Approaches to Cancer
Systems Biology Approaches to CancerSystems Biology Approaches to Cancer
Systems Biology Approaches to CancerRaunak Shrestha
 
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
 
Protein–protein interaction networks
Protein–protein interaction networksProtein–protein interaction networks
Protein–protein interaction networksLars Juhl Jensen
 
Ivan_Turner_Publications_Training_References
Ivan_Turner_Publications_Training_ReferencesIvan_Turner_Publications_Training_References
Ivan_Turner_Publications_Training_ReferencesIvan Turner Jr
 
How DNA Works Notes
How DNA Works NotesHow DNA Works Notes
How DNA Works Notesknewton1314
 

La actualidad más candente (20)

Go users meeting, unknowns
Go users meeting, unknownsGo users meeting, unknowns
Go users meeting, unknowns
 
Arraygen bioinformatics ppt
Arraygen bioinformatics pptArraygen bioinformatics ppt
Arraygen bioinformatics ppt
 
Large-scale data and text mining
Large-scale data and text miningLarge-scale data and text mining
Large-scale data and text mining
 
Molecular folding
Molecular foldingMolecular folding
Molecular folding
 
Telomere paper
Telomere paperTelomere paper
Telomere paper
 
Molecular folding
Molecular foldingMolecular folding
Molecular folding
 
The implications of cellular dedifferentiation for regenerative medicine
The implications of cellular dedifferentiation for regenerative medicineThe implications of cellular dedifferentiation for regenerative medicine
The implications of cellular dedifferentiation for regenerative medicine
 
The STITCH and Reflect web resources
The STITCH and Reflect web resourcesThe STITCH and Reflect web resources
The STITCH and Reflect web resources
 
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: 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
 
Plegable Luisa Fda Naranjo P
Plegable Luisa Fda Naranjo PPlegable Luisa Fda Naranjo P
Plegable Luisa Fda Naranjo P
 
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
 
Systems Biology Approaches to Cancer
Systems Biology Approaches to CancerSystems Biology Approaches to Cancer
Systems Biology Approaches to Cancer
 
How dna works
How dna worksHow dna works
How dna works
 
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
 
Protein–protein interaction networks
Protein–protein interaction networksProtein–protein interaction networks
Protein–protein interaction networks
 
Ivan_Turner_Publications_Training_References
Ivan_Turner_Publications_Training_ReferencesIvan_Turner_Publications_Training_References
Ivan_Turner_Publications_Training_References
 
Project.2020 ravera
Project.2020 raveraProject.2020 ravera
Project.2020 ravera
 
How DNA Works Notes
How DNA Works NotesHow DNA Works Notes
How DNA Works Notes
 

Destacado

ODDT beta-user guide-v0.9.12amc
ODDT beta-user guide-v0.9.12amcODDT beta-user guide-v0.9.12amc
ODDT beta-user guide-v0.9.12amcSean Ekins
 
Notes on biochemistry
Notes on biochemistryNotes on biochemistry
Notes on biochemistrymohammed rida
 
REACH with speaker notes
REACH with speaker notesREACH with speaker notes
REACH with speaker notesMike Slater
 
Word games with english1
Word games with english1Word games with english1
Word games with english1H4llud4l
 
IEEE Photonics Technology Letters vol 8 2016 [table of content only]
IEEE Photonics Technology Letters vol 8 2016 [table of content only]IEEE Photonics Technology Letters vol 8 2016 [table of content only]
IEEE Photonics Technology Letters vol 8 2016 [table of content only]Eka Kurnia
 
Drug efficacy, safety and biologics discovery
Drug efficacy, safety and biologics discoveryDrug efficacy, safety and biologics discovery
Drug efficacy, safety and biologics discoverySean Ekins
 
Los poetas-malditos-paul-verlaine
Los poetas-malditos-paul-verlaineLos poetas-malditos-paul-verlaine
Los poetas-malditos-paul-verlaineSxrxhx Sxrxbxa
 
TỔNG HỢP VÀ TÍNH CHẤT CỦA CÁC HỢP CHẤT 4-ACETYL VÀ 4-FORMYLSYDNONE (PER-O-A...
TỔNG HỢP VÀ TÍNH CHẤT CỦA CÁC HỢP CHẤT 4-ACETYL VÀ 4-FORMYLSYDNONE (PER-O-A...TỔNG HỢP VÀ TÍNH CHẤT CỦA CÁC HỢP CHẤT 4-ACETYL VÀ 4-FORMYLSYDNONE (PER-O-A...
TỔNG HỢP VÀ TÍNH CHẤT CỦA CÁC HỢP CHẤT 4-ACETYL VÀ 4-FORMYLSYDNONE (PER-O-A...Đinh Quang An
 
Genetic engineering
Genetic engineeringGenetic engineering
Genetic engineeringMike Tamas
 
Cac phan ung_mang_ten_nguoi(new)
Cac phan ung_mang_ten_nguoi(new)Cac phan ung_mang_ten_nguoi(new)
Cac phan ung_mang_ten_nguoi(new)Đinh Quang An
 
Advanced semiconductor fundamentals__se__robert_f._pierret
Advanced semiconductor fundamentals__se__robert_f._pierretAdvanced semiconductor fundamentals__se__robert_f._pierret
Advanced semiconductor fundamentals__se__robert_f._pierretSRR Govt. Degree & PG College
 
Cinetica, 3ª edición (octave levenspiel)
Cinetica, 3ª edición (octave levenspiel)Cinetica, 3ª edición (octave levenspiel)
Cinetica, 3ª edición (octave levenspiel)Yenni Nayid Santamaría
 
[J. derelanko michael]_toxicologist_s_pocket_handb(book_fi.org)
[J. derelanko michael]_toxicologist_s_pocket_handb(book_fi.org)[J. derelanko michael]_toxicologist_s_pocket_handb(book_fi.org)
[J. derelanko michael]_toxicologist_s_pocket_handb(book_fi.org)Chandini Reddy Billa
 

Destacado (20)

Syllabus of b.sc_electronics_semester_pattern2013
Syllabus of b.sc_electronics_semester_pattern2013Syllabus of b.sc_electronics_semester_pattern2013
Syllabus of b.sc_electronics_semester_pattern2013
 
ODDT beta-user guide-v0.9.12amc
ODDT beta-user guide-v0.9.12amcODDT beta-user guide-v0.9.12amc
ODDT beta-user guide-v0.9.12amc
 
Notes on biochemistry
Notes on biochemistryNotes on biochemistry
Notes on biochemistry
 
Adtai mytav
Adtai mytavAdtai mytav
Adtai mytav
 
Book Koinoniki Euthini Forweb
Book Koinoniki Euthini ForwebBook Koinoniki Euthini Forweb
Book Koinoniki Euthini Forweb
 
REACH with speaker notes
REACH with speaker notesREACH with speaker notes
REACH with speaker notes
 
Word games with english1
Word games with english1Word games with english1
Word games with english1
 
Book Asfalistiko For Web
Book Asfalistiko For WebBook Asfalistiko For Web
Book Asfalistiko For Web
 
IEEE Photonics Technology Letters vol 8 2016 [table of content only]
IEEE Photonics Technology Letters vol 8 2016 [table of content only]IEEE Photonics Technology Letters vol 8 2016 [table of content only]
IEEE Photonics Technology Letters vol 8 2016 [table of content only]
 
15 YEARS INE OTOE (2006)
15 YEARS INE OTOE (2006)15 YEARS INE OTOE (2006)
15 YEARS INE OTOE (2006)
 
Drug efficacy, safety and biologics discovery
Drug efficacy, safety and biologics discoveryDrug efficacy, safety and biologics discovery
Drug efficacy, safety and biologics discovery
 
Edcqnaunit 2
Edcqnaunit 2Edcqnaunit 2
Edcqnaunit 2
 
Los poetas-malditos-paul-verlaine
Los poetas-malditos-paul-verlaineLos poetas-malditos-paul-verlaine
Los poetas-malditos-paul-verlaine
 
TỔNG HỢP VÀ TÍNH CHẤT CỦA CÁC HỢP CHẤT 4-ACETYL VÀ 4-FORMYLSYDNONE (PER-O-A...
TỔNG HỢP VÀ TÍNH CHẤT CỦA CÁC HỢP CHẤT 4-ACETYL VÀ 4-FORMYLSYDNONE (PER-O-A...TỔNG HỢP VÀ TÍNH CHẤT CỦA CÁC HỢP CHẤT 4-ACETYL VÀ 4-FORMYLSYDNONE (PER-O-A...
TỔNG HỢP VÀ TÍNH CHẤT CỦA CÁC HỢP CHẤT 4-ACETYL VÀ 4-FORMYLSYDNONE (PER-O-A...
 
Safety evaluation handbook
Safety evaluation handbookSafety evaluation handbook
Safety evaluation handbook
 
Genetic engineering
Genetic engineeringGenetic engineering
Genetic engineering
 
Cac phan ung_mang_ten_nguoi(new)
Cac phan ung_mang_ten_nguoi(new)Cac phan ung_mang_ten_nguoi(new)
Cac phan ung_mang_ten_nguoi(new)
 
Advanced semiconductor fundamentals__se__robert_f._pierret
Advanced semiconductor fundamentals__se__robert_f._pierretAdvanced semiconductor fundamentals__se__robert_f._pierret
Advanced semiconductor fundamentals__se__robert_f._pierret
 
Cinetica, 3ª edición (octave levenspiel)
Cinetica, 3ª edición (octave levenspiel)Cinetica, 3ª edición (octave levenspiel)
Cinetica, 3ª edición (octave levenspiel)
 
[J. derelanko michael]_toxicologist_s_pocket_handb(book_fi.org)
[J. derelanko michael]_toxicologist_s_pocket_handb(book_fi.org)[J. derelanko michael]_toxicologist_s_pocket_handb(book_fi.org)
[J. derelanko michael]_toxicologist_s_pocket_handb(book_fi.org)
 

Similar a Unraveling cellular phosphorylation networks using computational biology

Integration of heterogeneous data
Integration of heterogeneous dataIntegration of heterogeneous data
Integration of heterogeneous dataLars Juhl Jensen
 
Unraveling signaling networks by data integration
Unraveling signaling networks by data integrationUnraveling signaling networks by data integration
Unraveling signaling networks by data integrationLars Juhl Jensen
 
From phosphoproteomics to signaling networks
From phosphoproteomics to signaling networksFrom phosphoproteomics to signaling networks
From phosphoproteomics to signaling networksLars Juhl Jensen
 
A linear motif atlas for phosphorylation-dependent signaling
A linear motif atlas for phosphorylation-dependent signalingA linear motif atlas for phosphorylation-dependent signaling
A linear motif atlas for phosphorylation-dependent signalingLars Juhl Jensen
 
Computational Biology - Signaling networks and drug repositioning
Computational Biology - Signaling networks and drug repositioningComputational Biology - Signaling networks and drug repositioning
Computational Biology - Signaling networks and drug repositioningLars Juhl Jensen
 
Cellular network biology: Proteome-wide analysis of heterogeneous data
Cellular network biology: Proteome-wide analysis of heterogeneous dataCellular network biology: Proteome-wide analysis of heterogeneous data
Cellular network biology: Proteome-wide analysis of heterogeneous dataLars Juhl Jensen
 
Systems biology: Large-scale biomedical data mining
Systems biology: Large-scale biomedical data miningSystems biology: Large-scale biomedical data mining
Systems biology: Large-scale biomedical data miningLars Juhl Jensen
 
Making gene networks through data integration
Making gene networks through data integrationMaking gene networks through data integration
Making gene networks through data integrationLars Juhl Jensen
 
Integration of diverse large-scale datasets
Integration of diverse large-scale datasetsIntegration of diverse large-scale datasets
Integration of diverse large-scale datasetsLars Juhl Jensen
 
Network biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data miningNetwork biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data miningLars Juhl Jensen
 
Network biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data miningNetwork biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data miningLars Juhl Jensen
 
Network biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data miningNetwork biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data miningLars Juhl Jensen
 
Network biology - A basis for large-scale biomedica data mining
Network biology - A basis for large-scale biomedica data miningNetwork biology - A basis for large-scale biomedica data mining
Network biology - A basis for large-scale biomedica data miningLars Juhl Jensen
 
Protein interaction networks
Protein interaction networksProtein interaction networks
Protein interaction networksLars Juhl Jensen
 
Advanced bioinformatics of proteomics datasets
Advanced bioinformatics of proteomics datasetsAdvanced bioinformatics of proteomics datasets
Advanced bioinformatics of proteomics datasetsLars Juhl Jensen
 
Systems biology: Large-scale biomedical data mining
Systems biology: Large-scale biomedical data miningSystems biology: Large-scale biomedical data mining
Systems biology: Large-scale biomedical data miningLars 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
 
Unraveling signaling networks by large-scale data integration
Unraveling signaling networks by large-scale data integrationUnraveling signaling networks by large-scale data integration
Unraveling signaling networks by large-scale data integrationLars Juhl Jensen
 

Similar a Unraveling cellular phosphorylation networks using computational biology (20)

Integration of heterogeneous data
Integration of heterogeneous dataIntegration of heterogeneous data
Integration of heterogeneous data
 
Unraveling signaling networks by data integration
Unraveling signaling networks by data integrationUnraveling signaling networks by data integration
Unraveling signaling networks by data integration
 
From phosphoproteomics to signaling networks
From phosphoproteomics to signaling networksFrom phosphoproteomics to signaling networks
From phosphoproteomics to signaling networks
 
A linear motif atlas for phosphorylation-dependent signaling
A linear motif atlas for phosphorylation-dependent signalingA linear motif atlas for phosphorylation-dependent signaling
A linear motif atlas for phosphorylation-dependent signaling
 
Network biology
Network biologyNetwork biology
Network biology
 
Computational Biology - Signaling networks and drug repositioning
Computational Biology - Signaling networks and drug repositioningComputational Biology - Signaling networks and drug repositioning
Computational Biology - Signaling networks and drug repositioning
 
Cellular network biology: Proteome-wide analysis of heterogeneous data
Cellular network biology: Proteome-wide analysis of heterogeneous dataCellular network biology: Proteome-wide analysis of heterogeneous data
Cellular network biology: Proteome-wide analysis of heterogeneous data
 
Systems biology: Large-scale biomedical data mining
Systems biology: Large-scale biomedical data miningSystems biology: Large-scale biomedical data mining
Systems biology: Large-scale biomedical data mining
 
Making gene networks through data integration
Making gene networks through data integrationMaking gene networks through data integration
Making gene networks through data integration
 
Network biology
Network biologyNetwork biology
Network biology
 
Integration of diverse large-scale datasets
Integration of diverse large-scale datasetsIntegration of diverse large-scale datasets
Integration of diverse large-scale datasets
 
Network biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data miningNetwork biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data mining
 
Network biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data miningNetwork biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data mining
 
Network biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data miningNetwork biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data mining
 
Network biology - A basis for large-scale biomedica data mining
Network biology - A basis for large-scale biomedica data miningNetwork biology - A basis for large-scale biomedica data mining
Network biology - A basis for large-scale biomedica data mining
 
Protein interaction networks
Protein interaction networksProtein interaction networks
Protein interaction networks
 
Advanced bioinformatics of proteomics datasets
Advanced bioinformatics of proteomics datasetsAdvanced bioinformatics of proteomics datasets
Advanced bioinformatics of proteomics datasets
 
Systems biology: Large-scale biomedical data mining
Systems biology: Large-scale biomedical data miningSystems biology: Large-scale biomedical data mining
Systems biology: Large-scale biomedical data mining
 
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
 
Unraveling signaling networks by large-scale data integration
Unraveling signaling networks by large-scale data integrationUnraveling signaling networks by large-scale data integration
Unraveling signaling networks by large-scale data integration
 

Más de Lars Juhl Jensen

One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...Lars Juhl Jensen
 
One tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicineOne tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicineLars Juhl Jensen
 
Extract 2.0: Text-mining-assisted interactive annotation
Extract 2.0: Text-mining-assisted interactive annotationExtract 2.0: Text-mining-assisted interactive annotation
Extract 2.0: Text-mining-assisted interactive annotationLars Juhl Jensen
 
Network visualization: A crash course on using Cytoscape
Network visualization: A crash course on using CytoscapeNetwork visualization: A crash course on using Cytoscape
Network visualization: A crash course on using CytoscapeLars Juhl Jensen
 
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
 
STRING & related databases: Large-scale integration of heterogeneous data
STRING & related databases: Large-scale integration of heterogeneous dataSTRING & related databases: Large-scale integration of heterogeneous data
STRING & related databases: Large-scale integration of heterogeneous dataLars Juhl Jensen
 
Tagger: Rapid dictionary-based named entity recognition
Tagger: Rapid dictionary-based named entity recognitionTagger: Rapid dictionary-based named entity recognition
Tagger: Rapid dictionary-based named entity recognitionLars Juhl Jensen
 
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
 
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
 

Más de Lars Juhl Jensen (20)

One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...
 
One tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicineOne tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicine
 
Extract 2.0: Text-mining-assisted interactive annotation
Extract 2.0: Text-mining-assisted interactive annotationExtract 2.0: Text-mining-assisted interactive annotation
Extract 2.0: Text-mining-assisted interactive annotation
 
Network visualization: A crash course on using Cytoscape
Network visualization: A crash course on using CytoscapeNetwork visualization: A crash course on using Cytoscape
Network visualization: A crash course on using Cytoscape
 
STRING & STITCH : Network integration of heterogeneous data
STRING & STITCH : Network integration of heterogeneous dataSTRING & STITCH : Network integration of heterogeneous data
STRING & STITCH : Network integration of heterogeneous data
 
Biomedical text mining: Automatic processing of unstructured text
Biomedical text mining: Automatic processing of unstructured textBiomedical text mining: Automatic processing of unstructured text
Biomedical text mining: Automatic processing of unstructured text
 
Medical network analysis: Linking diseases and genes through data and text mi...
Medical network analysis: Linking diseases and genes through data and text mi...Medical network analysis: Linking diseases and genes through data and text mi...
Medical network analysis: Linking diseases and genes through data and text mi...
 
Network Biology: A crash course on STRING and Cytoscape
Network Biology: A crash course on STRING and CytoscapeNetwork Biology: A crash course on STRING and Cytoscape
Network Biology: A crash course on STRING and Cytoscape
 
Cellular networks
Cellular networksCellular networks
Cellular networks
 
Cellular Network Biology: Large-scale integration of data and text
Cellular Network Biology: Large-scale integration of data and textCellular Network Biology: Large-scale integration of data and text
Cellular Network Biology: Large-scale integration of data and text
 
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
 
STRING & related databases: Large-scale integration of heterogeneous data
STRING & related databases: Large-scale integration of heterogeneous dataSTRING & related databases: Large-scale integration of heterogeneous data
STRING & related databases: Large-scale integration of heterogeneous data
 
Tagger: Rapid dictionary-based named entity recognition
Tagger: Rapid dictionary-based named entity recognitionTagger: Rapid dictionary-based named entity recognition
Tagger: Rapid dictionary-based named entity recognition
 
Network Biology: Large-scale integration of data and text
Network Biology: Large-scale integration of data and textNetwork Biology: Large-scale integration of data and text
Network Biology: Large-scale integration of data and text
 
Medical text mining: Linking diseases, drugs, and adverse reactions
Medical text mining: Linking diseases, drugs, and adverse reactionsMedical text mining: Linking diseases, drugs, and adverse reactions
Medical text mining: Linking diseases, drugs, and adverse reactions
 
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
 

Último

From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
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
 
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
 
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
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
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
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Alan Dix
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Paola De la Torre
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 

Último (20)

From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
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
 
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
 
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
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
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
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food Manufacturing
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 

Unraveling cellular phosphorylation networks using computational biology