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Lars Juhl Jensen
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9th Course in Bioinformatics for Molecular Biologist, Bertinoro, Italy, March 22-26, 2009
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Tagger: Rapid dictionary-based named entity recognition
Tagger: Rapid dictionary-based named entity recognition
Lars Juhl Jensen
Network Biology: Large-scale integration of data and text
Network Biology: Large-scale integration of data and text
Network Biology: Large-scale integration of data and text
Lars Juhl Jensen
Medical text mining: Linking diseases, drugs, and adverse reactions
Medical text mining: Linking diseases, drugs, and adverse reactions
Medical text mining: Linking diseases, drugs, and adverse reactions
Lars Juhl Jensen
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and text
Lars Juhl Jensen
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
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Lars Juhl Jensen
Cellular Network Biology
Cellular Network Biology
Cellular Network Biology
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Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and text
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Biomarker bioinformatics: Network-based candidate prioritization
Biomarker bioinformatics: Network-based candidate prioritization
Biomarker bioinformatics: Network-based candidate prioritization
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One tagger, many uses: Illustrating the power of dictionary-based named entit...
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One tagger, many uses: Simple text-mining strategies for biomedicine
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Extract 2.0: Text-mining-assisted interactive annotation
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Network visualization: A crash course on using Cytoscape
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STRING & STITCH: Network integration of heterogeneous data
STRING & STITCH: Network integration of heterogeneous data
Biomedical text mining: Automatic processing of unstructured text
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Medical network analysis: Linking diseases and genes through data and text mi...
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Network Biology: A crash course on STRING and Cytoscape
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Cellular networks
Cellular networks
Cellular Network Biology: Large-scale integration of data and text
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Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
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STRING & related databases: Large-scale integration of heterogeneous data
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Tagger: Rapid dictionary-based named entity recognition
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Integration of heterogeneous data
1.
Lars Juhl Jensen
Integration of heterogeneous data
2.
Lars Juhl Jensen
Integration of heterogeneous data
3.
Lars Juhl Jensen
Integration of heterogeneous data
4.
5.
6.
what went wrong?
7.
a good question
8.
signaling networks
9.
Oda & Kitano,
Molecular Systems Biology , 2006
10.
long way to
go
11.
mass spectrometry
12.
Linding, Jensen, Ostheimer
et al., Cell , 2007
13.
phosphorylation sites
14.
in vivo
15.
kinases are unknown
16.
peptide assays
17.
Miller, Jensen et
al., Science Signaling , 2008
18.
sequence specificity
19.
kinase-specific
20.
in vitro
21.
no context
22.
what a kinase
could do
23.
not what it
actually does
24.
computational methods
25.
sequence specificity
26.
Miller, Jensen et
al., Science Signaling , 2008
27.
kinase-specific
28.
no context
29.
what a kinase
could do
30.
not what it
actually does
31.
in vitro
32.
in vivo
33.
context
34.
co-activators
35.
scaffolders
36.
expression
37.
association networks
38.
Linding, Jensen, Ostheimer
et al., Cell , 2007
39.
a good idea
40.
Linding, Jensen, Ostheimer
et al., Cell , 2007
41.
Part I sequence
motifs
42.
curated motifs
43.
PROSITE
44.
ELM
45.
HPRD
46.
regular expressions
47.
[ST]P.[KR]
48.
no score
49.
Miller, Jensen et
al., Science Signaling , 2008
50.
insufficient
51.
machine learning
52.
NetPhosK
53.
PredPhospho
54.
PHOSITE
55.
GPS
56.
KinasePhos
57.
PPSP
58.
GANNPhos
59.
PhoScan
60.
no regular updates
61.
NetPhorest
62.
Miller, Jensen et
al., Science Signaling , 2008
63.
data sources
64.
Phospho.ELM
65.
Diella et al.,
Nucleic Acids Res. , 2008
66.
Diella et al.,
Nucleic Acids Res. , 2008
67.
Scansite
68.
Obenauer et al.,
Nucleic Acids Res. , 2003
69.
Miller, Jensen et
al., Science Signaling , 2008
70.
common basis
71.
Miller, Jensen et
al., Science Signaling , 2008
72.
automated pipeline
73.
compilation of datasets
74.
classification vs. prediction
75.
Miller, Jensen et
al., Science Signaling , 2008
76.
homology reduction
77.
Miller, Jensen et
al., Science Signaling , 2008
78.
training and evaluation
79.
cross-validation
80.
Miller, Jensen et
al., Science Signaling , 2008
81.
classifier selection
82.
Miller, Jensen et
al., Science Signaling , 2008
83.
motif atlas
84.
85.
179 kinases
86.
93 SH2 domains
87.
8 PTB domains
88.
BRCT domains
89.
WW domains
90.
14-3-3 proteins
91.
phosphatases
92.
model organisms
93.
S. cerevisiae
94.
D. melanogaster
95.
C. elegans
96.
biological insights
97.
docking domains
98.
Miller, Jensen et
al., Science Signaling , 2008
99.
disease-related kinases
100.
Miller, Jensen et
al., Science Signaling , 2008
101.
predictive power
102.
ROC curves
103.
Miller, Jensen et
al., Science Signaling , 2008
104.
comparison
105.
Miller, Jensen et
al., Science Signaling , 2008
106.
conclusions
107.
data collection
108.
automation
109.
benchmarking
110.
homology reduction!
111.
Part II association
networks
112.
STRING
113.
Jensen, Kuhn et
al., Nucleic Acids Research , 2009
114.
functional associations
115.
data integration
116.
common basis
117.
630 genomes
118.
model organism databases
119.
Ensembl
120.
RefSeq
121.
genomic context methods
122.
gene fusion
123.
Korbel et al.,
Nature Biotechnology , 2004
124.
conserved neighborhood
125.
operons
126.
Korbel et al.,
Nature Biotechnology , 2004
127.
bidirectional promoters
128.
Korbel et al.,
Nature Biotechnology , 2004
129.
phylogenetic profiles
130.
Korbel et al.,
Nature Biotechnology , 2004
131.
primary experimental data
132.
protein interactions
133.
yeast two-hybrid
134.
affinity purification
135.
fragment complementation
136.
Jensen & Bork,
Science , 2008
137.
genetic interactions
138.
Beyer et al.,
Nature Reviews Genetics , 2007
139.
BIND Biomolecular Interaction
Network Database
140.
BioGRID General Repository
for Interaction Datasets
141.
DIP Database of
Interacting Proteins
142.
IntAct
143.
MINT Molecular Interactions
Database
144.
HPRD Human Protein
Reference Database
145.
PDB Protein Data
Bank
146.
inferred associations
147.
gene coexpression
148.
149.
GEO Gene Expression
Omnibus
150.
expression compendia
151.
curated knowledge
152.
complexes
153.
MIPS Munich Information
center for Protein Sequences
154.
Gene Ontology
155.
pathways
156.
Letunic & Bork,
Trends in Biochemical Sciences , 2008
157.
KEGG Kyoto Encyclopedia
of Genes and Genomes
158.
MetaCyc
159.
Reactome
160.
PID NCI-Nature Pathway
Interaction Database
161.
literature mining
162.
M EDLINE
163.
SGD Saccharomyces Genome
Database
164.
The Interactive Fly
165.
OMIM Online Mendelian
Inheritance in Man
166.
co-mentioning
167.
statistical methods
168.
NLP Natural Language
Processing
169.
170.
171.
easy in theory
…
172.
… but
not in practice
173.
different formats
174.
parsers
175.
different identifiers
176.
thesaurus
177.
redundant sources
178.
book keeping
179.
variable quality
180.
raw quality scores
181.
reproducibility
182.
von Mering et
al., Nucleic Acids Research , 2005
183.
benchmarking
184.
von Mering et
al., Nucleic Acids Research , 2005
185.
spread over 630
genomes
186.
transfer by orthology
187.
von Mering et
al., Nucleic Acids Research , 2005
188.
two modes
189.
COG mode
190.
von Mering et
al., Nucleic Acids Research , 2005
191.
protein mode
192.
von Mering et
al., Nucleic Acids Research , 2005
193.
combine all evidence
194.
visualize
195.
Frishman et al.,
Modern Genome Annotation , 2009
196.
STITCH
197.
198.
metabolite–enzyme links
199.
pathway databases
200.
Letunic & Bork,
Trends in Biochemical Sciences , 2008
201.
drug–target links
202.
Drugbank
203.
PDSP K i
204.
MATADOR
205.
Campillos & Kuhn
et al., Science , 2008
206.
chemical–chemical links
207.
shared targets
208.
fingerprint similarity
209.
chemical–protein network
210.
211.
conclusions
212.
more data is
better
213.
quality scores
214.
benchmarking
215.
cross-species integration
216.
Part III putting
it all together
217.
Linding, Jensen, Ostheimer
et al., Cell , 2007
218.
NetworKIN
219.
220.
benchmarking
221.
Linding, Jensen, Ostheimer
et al., Cell , 2007
222.
2.5-fold better accuracy
223.
context is crucial
224.
localization
225.
Linding, Jensen, Ostheimer
et al., Cell , 2007
226.
DNA damage response
227.
Linding, Jensen, Ostheimer
et al., Cell , 2007
228.
Linding, Jensen, Ostheimer
et al., Cell , 2007
229.
small-scale validation
230.
ATM phosphorylates Rad50
231.
Linding, Jensen, Ostheimer
et al., Cell , 2007
232.
Cdk1 phosphorylates 53BP1
233.
Linding, Jensen, Ostheimer
et al., Cell , 2007
234.
high-throughput validation
235.
multiple reaction monitoring
236.
Linding, Jensen, Ostheimer
et al., Cell , 2007
237.
systematic validation
238.
kinase inhibitor matrix
239.
Fedorov et al.,
PNAS , 2007
240.
design optimal experiments
241.
integration with literature
242.
Reflect
243.
244.
245.
246.
conclusions
247.
complementary data
248.
visualization
249.
a good question
250.
251.
252.
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