PPB Forensics – May 2010 IP Theft IT Forensic Solutions Chris Hatfield Senior Manager, IT Forensics.
Ontologies - Useful tools in Life Sciences and Forensics · Forensic Science Investigation Lab...
Transcript of Ontologies - Useful tools in Life Sciences and Forensics · Forensic Science Investigation Lab...
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Ontologies - Useful tools in Life Sciences and Forensics
“How today's Life Science Technologies can shape the Crime Sciences of
tomorrow”
Dirk Labudde
Mittweida04.07.2015
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04.07.2015Bioinformatics Group Mittweida 2
Mittweida
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04.07.2015Bioinformatics Group Mittweida 3
Dr. John H. Watson Dr. James Dewey Watson
Watson vs Watson
Cofounder of the modern biologyInvestigator –literary character
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04.07.2015Bioinformatics Group Mittweida 4
Modern Biology
1952 - King’s College in London – DNA x-ray
Major andminor grooves of DNA
The structure of part of a DNA double helix
structure
Function
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Modern Biology
DNA usually occurs as linear chromosomes in eukaryotes, and circular chromosomes in prokaryotes. The set of chromosomes in a cell makes up
its genome; the human genome has approximately 3 billion base pairs of DNA arranged into 46 chromosomes. The information carried by DNA is
held in the sequence of pieces of DNA called genes. Transmission of genetic information in genes is achieved via complementary base pairing.
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Modern Biology
Transcription and translation – biological information transfer
In transcription, the codons of a gene are copied into messenger RNA by RNA polymerase. Translation in Proteins
T7 RNA polymerase (blue) producing a mRNA (green) from a DNA template (orange).
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Modern Biology
Genes and gen products: Proteins – functional units of living cell
Sequence – structure - function
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Human Genome Project 2001
The first printout of the human genome to be presented as a series of books
Nature 409, 860-921 (15 February 2001) |
Accepted 9 January 2001
Initial sequencing and analysis of the human genome
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Modern Biology - bioinformatics
Start of the new bioinformatics in the omics era
Data (sequences)• Storage• Integration and organization• Analyses• Standardization
Simulation Visualization Modelling Classifying
genomics
proteomics
metabolomics transcriptomics
Interatomics
high throughput methods
biblioomics
ontologies
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System biology – part of the bioinformatics
Gen ontology on different levels
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System biology – part of the bioinformatics
Protein-Protein-Interactionnetwork
entities = proteins
Interaction:Bindinginformation transfer
experimentspredictingKinetics
reaction
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data in scientific journals - literature -omics
MeSH (Medical Subject Headings) is the NLM
controlled vocabulary thesaurus used for indexing articles for PubMed.
Technics of TextMining• Analyses of the abstract content• Ontology and semantics
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GOpubmed
background knowledge in the form of semantic networks of concept categories (called ontologies or knowledge base)
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Bioinformatics - summary
Data• Storage• Integration and organization• Analyses• Standardization
Simulation Visualization Modelling Classifying
high throughput methods
Big data Ontologies
Databases and query languages
Evaluation/validation
Statistics
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04.07.2015Bioinformatics Group Mittweida 15
Energy profiles
Energy profiles
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Application - Diabetes insipidusin the context of systems biology
mutations
mutations
description of the changes in signaling pathway by point mutations based on energy profiles
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Dr. James Dewey Watson
Cofounder of the modern biology
Dr. John H. Watson
Investigator –literary character
Watson vs Watson
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Forensic Science Investigation Lab
1804.07.2015
Classical forensics and digital forensics
Locard's exchange principle
Dr. Edmond Locard
holds that the perpetrator of a crime will bring something into the crime scene and leave with something from it, and that both can be used as forensic evidence
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Forensic Science Investigation Lab
1904.07.2015
Our daily Life
Data
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Forensic Science Investigation Lab
2004.07.2015
Classical forensics and digital forensics
Physical or digital trace evidence
• Analyses• Validation • Evaluation
• fingerprint• DNA traces • traces of blood and pattern
• Texts• Short massages• Chats • …
circumstances of a crime
comparison of traces:• Methods for the comparison• Definition of similarity• Evaluation of the results
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Forensic Science Investigation Lab
2104.07.2015
Classical forensics and digital forensics-With respect to bioinformatics -
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Forensic Science Investigation Lab
2204.07.2015
Classical forensics and digital forensics-With respect to bioinformatics -
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Forensic Science Investigation Lab
2304.07.2015
Classical forensics and digital forensics-With respect to bioinformatics -
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Forensic Science Investigation Lab
2404.07.2015
Classical forensics and digital forensics-With respect to bioinformatics -
Categorization of Forensic Texts
• bootstrapping ML combined with a set of rules• rules determine the seed documents
investigator
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Forensic Science Investigation Lab
2504.07.2015
Ontologies und Semantics
• oriented in the Topic Map ISO-standard• readable for humans and processable for
computers
Why do we need ontologies?
• they define terms and symbols referring to a syntax and an association network
• prior condition for raising questions• can support the information
extraction process in different ways• can support the visualization of
results
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Forensic Science Investigation Lab
2604.07.2015
Ontologies und Semantics
Forensische Topic Mapinstantiation
Question Answering System
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Forensic Science Investigation Lab
2704.07.2015
Texts – Information extraction
Information Extraction
Forensische Topic Mapinstantiation
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Forensic Science Investigation Lab
2804.07.2015
Ontologies und Semantics
SEMANTIC TEXT ANALYZER
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Forensic Science Investigation Lab
2904.07.2015
Ontologies und Semantics
MonaMobile Message ANALYZER
100% Precision und 67% Sensitivity
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Forensic Science Investigation Lab
3004.07.2015
Ontologies und Semantics
MonaMobile Message ANALYZER
SoNASocial Network ANALYZER
SemanTASemantic Text ANALYZER
AVATAR A Victim Analysis Toolbox for AnatomicReconstruction
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Ontology and Semantics
An ontology is a specification of a conceptualization.
Definition of syntax of terms and symbols in a network of associations
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Bioinformatics and Forensics - How today's Life Science Technologies can shape the Crime Sciences of tomorrow
04.07.2015Bioinformatics Group Mittweida 32
Summary
forensics
bioinformatics
[email protected] www.bioforscher.de
ontologies