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Data and Text Mining
Lars Juhl Jensen
sequence analysis
protein networks
de Lichtenberg, Jensen et al., Science, 2005
adverse drug reactions
Campillos, Kuhn et al., Science, 2008
group leader
cofounder
data mining
proteomics
text mining
biomedical literature
electronic health records
protein networks
guilt by association
STRING
Szklarczyk, Franceschini et al., Nucleic Acids Research, 2011
computational predictions
gene fusion
Korbel et al., Nature Biotechnology, 2004
gene neighborhood
operons
Korbel et al., Nature Biotechnology, 2004
bidirectional promoters
Korbel et al., Nature Biotechnology, 2004
phylogenetic profiles
Korbel et al., Nature Biotechnology, 2004
a real example
Cell
Cellulosomes
Cellulose
experimental data
gene coexpression
protein interactions
Jensen & Bork, Science, 2008
genetic interactions
Beyer et al., Nature Reviews Genetics, 2007
curated knowledge
complexes
pathways
Letunic & Bork, Trends in Biochemical Sciences, 2008
many databases
different formats
different identifiers
variable quality
not comparable
not same species
hard work
quality scores
von Mering et al., Nucleic Acids Research, 2005
calibrate vs. gold standard
von Mering et al., Nucleic Acids Research, 2005
homology-based transfer
Franceschini et al., Nucleic Acids Research, 2013
missing most of the data
text mining
>10 km
too much to read
computer
as smart as a dog
teach it specific tricks
named entity recognition
comprehensive lexicon
CDC2
cyclin dependent kinase 1
expansion rules
hCdc2
CDC2
flexible matching
cyclin-dependent kinase 1
cyclin dependent kinase 1
“black list”
SDS
augmented browsing
Reflect
browser add-on
real-time text mining
Pafilis, O’Donoghue, Jensen et al., Nature Biotechnology, 2009O’Donoghue et al., Journal of Web Semantics, 2010
information extraction
co-mentioning
within documents
within paragraphs
within sentences
text corpus
~22 million abstracts
no access
millions of full-text articles
localization and disease
general approach
COMPARTMENTS
TISSUES
DISEASES
curated knowledge
experimental data
text mining
computational predictions
common identifiers
quality scores
visualization
compartments.jensenlab.org
tissues.jensenlab.org
dissemination
web interfaces
web services
diseases.jensenlab.org
bulk download
AcknowledgmentsSTRING
Christian von Mering
Damian Szklarczyk
Michael KuhnManuel Stark
Samuel ChaffronChris Creevey
Jean MullerTobias DoerksPhilippe Julien
Alexander RothMilan Simonovic
Jan KorbelBerend Snel
Martijn HuynenPeer Bork
Text miningSune FrankildEvangelos PafilisKalliopi TsafouAlberto SantosJanos BinderHeiko HornMichael KuhnNigel BrownReinhardt SchneiderSean O’ Donoghue
