Title: STRING Modeling of biological systems through crossspecies data integration
1STRINGModeling of biological systems
throughcross-species data integration
2Lars Juhl Jensen
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5promoter analysis
6Jensen et al., Bioinformatics, 2000
7genome visualization
8Pedersen et al., Journal of Molecular Biology,
2000
9protein function prediction
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13STRING
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15integrate diverse evidence
16functional interactions
17Bork et al., Current Opinion in Structural
Biology, 2005
18179 proteomes
19genomic context methods
20phylogenetic profiles
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25Cell
Cellulosomes
Cellulose
26anti-correlated profiles
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28analogous enzymes
29Morett et al., Nature Biotechnology, 2003
30gene neighborhood
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32bidirectional promoters
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34Korbel et al., Nature Biotechnology, 2004
35gene fusion
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37evolution
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40statistics
41(the original sin)
42scoring and benchmarking
43raw quality scores
44gene neighborhood
45sum of intergenic distances
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47many types of evidence
48not directly comparable
49calibrate vs. gold standard
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51curated knowledge
52KEGG Kyoto Encyclopedia of Genes and Genomes
53STKE Signal Transduction Knowledge Environment
54Reactome
55MIPS Munich Information center for Protein
Sequences
56primary experimental data
57Jensen et al., Drug Discovery Today Targets, 2004
58microarray expression data
59GEO Gene Expression Omnibus
60physical protein interactions
61BIND Biomolecular Interaction Network Database
62MINT Molecular Interactions Database
63GRID General Repository for Interaction Datasets
64DIP Database of Interacting Proteins
65HPRD Human Protein Reference Database
66von Mering et al., Nucleic Acids Research, 2005
67literature mining
68MEDLINE
69SGD Saccharomyces Genome Database
70The Interactive Fly
71OMIM Online Mendelian Inheritance in Man
72co-mentioning
73different gene names
74curated synonyms lists
75NLP Natural Language Processing
76- Gene and protein names
- Cue words for entity recognition
- Verbs for relation extraction
- nxgene The GAL4 gene
- nxexpr The expression of nxgene the
cytochrome genes nxpg CYC1 and
CYC7is controlled bynxpg HAP1
77Jensen et al., Nature Reviews Genetics, 2006
78combine all evidence
79naïve Bayesian scheme
80spread over many species
81transfer based orthology
82Target species
?
Source species
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89defining functional modules
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92qualitative modeling
93the mitochondrial system
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95RCCs
96predicting mode of action
97Jensen et al., Drug Discovery Today Targets, 2004
98Jensen et al., Drug Discovery Today Targets, 2004
99Acknowledgments
- The STRING team (EMBL)
- Christian von Mering
- Berend Snel
- Martijn Huynen
- Sean Hooper
- Mathilde Foglierini
- Julien Lagarde
- Peer Bork
- Literature mining project(EML Research)
- Jasmin Saric
- Rossitza Ouzounova
- Isabel Rojas
- New genomic context methods (EMBL)
- Jan Korbel
- Peer Bork
- Modeling of yeast mitochondria (EMBL)
- Fabiana Perocchi
- Lars Steinmetz
- Inspiration for presentation
- Dick Clarence Hardt
- Anders Gorm Pedersen
100Thank you!