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Lars Juhl Jensen Systems biology Bioinformatics on complete biological systems

Systems biology - Bioinformatics on complete biological systems

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Page 1: Systems biology - Bioinformatics on complete biological systems

Lars Juhl Jensen

Systems biologyBioinformatics on complete biological

systems

Page 2: Systems biology - Bioinformatics on complete biological systems

can a biologist fix a radio?

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Lazebnik, Biochemistry, 2004

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one gene

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one postdoc

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knockout phenotype

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name the gene

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Lazebnik, Biochemistry, 2004

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all aspects

Page 10: Systems biology - Bioinformatics on complete biological systems

one gene

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high-throughput biology

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one technology

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one lab

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all genes

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one aspect

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systems biology

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complete systems

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all aspects

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all genes

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systems-level properties

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two subfields

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mathematical modeling

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small systems

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data integration

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large systems

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mathematical modeling

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small systems

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Chen, Mol. Biol. Cell, 2004

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many equations

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Chen, Mol. Biol. Cell, 2004

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simulation

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Chen, Mol. Biol. Cell, 2004

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many parameters

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Chen, Mol. Biol. Cell, 2004

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requires detailed knowledge

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data integration

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association networks

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guilt by association

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STRING

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~2.6 million proteins

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Szklarczyk, Franceschini et al., Nucleic Acids Research, 2011

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genomic context

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gene fusion

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Korbel et al., Nature Biotechnology, 2004

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operons

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Korbel et al., Nature Biotechnology, 2004

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bidirectional promoters

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Korbel et al., Nature Biotechnology, 2004

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phylogenetic profiles

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Korbel et al., Nature Biotechnology, 2004

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a real example

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Cell

Cellulosomes

Cellulose

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experimental data

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gene coexpression

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protein interactions

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Jensen & Bork, Science, 2008

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curated knowledge

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complexes

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pathways

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Letunic & Bork, Trends in Biochemical Sciences, 2008

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many databases

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different formats

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different identifiers

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variable quality

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not comparable

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hard work

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quality scores

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von Mering et al., Nucleic Acids Research, 2005

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calibrate vs. gold standard

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missing most of the data

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text mining

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>10 km

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too much to read

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computer

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as smart as a dog

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teach it specific tricks

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named entity recognition

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comprehensive lexicon

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cyclin dependent kinase 1

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CDK1

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CDC2

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flexible matching

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spaces and hyphens

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cyclin dependent kinase 1

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cyclin-dependent kinase 1

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orthographic variation

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CDC2

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hCdc2

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“black list”

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SDS

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information extraction

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count co-mentioning

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within documents

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within paragraphs

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within sentences

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scoring scheme

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corpora

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~22 million abstracts

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no access

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~4 million full-text articles

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augmented browsing

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Reflect

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browser add-on

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real-time text mining

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Pafilis, O’Donoghue, Jensen et al., Nature Biotechnology, 2009O’Donoghue et al., Journal of Web Semantics, 2010

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localization and disease

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small molecules

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proteins

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compartments

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tissues

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diseases

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organisms

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environments

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suite of web resources

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common backend database

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jensenlab.org

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text mining

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curated knowledge

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experimental data

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computational predictions

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quality scores

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web-centric databases

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DISEASES

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visualization

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COMPARTMENTS

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compartments.jensenlab.org

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TISSUES

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tissues.jensenlab.org

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project onto networks

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Szklarczyk, Franceschini et al., Nucleic Acids Research, 2011

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compartments.jensenlab.org

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tissues.jensenlab.org

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diseases.jensenlab.org

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summary

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bioinformatics

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more than alignment

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data/text mining

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save you much time

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Acknowledgments

Protein networks

Christian von MeringDamian Szklarczyk

Michael KuhnManuel Stark

Samuel ChaffronChris Creevey

Jean MullerTobias DoerksPhilippe Julien

Alexander RothMilan Simonovic

Jan KorbelBerend Snel

Martijn HuynenPeer Bork

Literature miningSune FrankildEvangelos PafilisJanos BinderKalliopi TsafouAlberto SantosHeiko HornMichael KuhnNigel BrownReinhardt SchneiderSean O’Donoghue