Suche senden
Hochladen
STRING - Modeling of biological systems through cross-species data integration
•
Als PPT, PDF herunterladen
•
1 gefällt mir
•
455 views
Lars Juhl Jensen
Folgen
Journée Thematique Biologie des Systèmes, INRA, Jouy-en-Josas, France, February 2, 2006
Weniger lesen
Mehr lesen
Technologie
Melden
Teilen
Melden
Teilen
1 von 100
Jetzt herunterladen
Empfohlen
STRING/STITCH tutorial
STRING/STITCH tutorial
biocs
The STRING database and related tools
The STRING database and related tools
Lars Juhl Jensen
Network biology: Large-scale data and text mining
Network biology: Large-scale data and text mining
Lars Juhl Jensen
Large-scale integration of data and text
Large-scale integration of data and text
Lars Juhl Jensen
STRING & STITCH: Network integration of heterogeneous data
STRING & STITCH: Network integration of heterogeneous data
Lars Juhl Jensen
The STRING database
The STRING database
Lars Juhl Jensen
Large-scale integration of data and text
Large-scale integration of data and text
Lars Juhl Jensen
Cross-species data integration
Cross-species data integration
Lars Juhl Jensen
Empfohlen
STRING/STITCH tutorial
STRING/STITCH tutorial
biocs
The STRING database and related tools
The STRING database and related tools
Lars Juhl Jensen
Network biology: Large-scale data and text mining
Network biology: Large-scale data and text mining
Lars Juhl Jensen
Large-scale integration of data and text
Large-scale integration of data and text
Lars Juhl Jensen
STRING & STITCH: Network integration of heterogeneous data
STRING & STITCH: Network integration of heterogeneous data
Lars Juhl Jensen
The STRING database
The STRING database
Lars Juhl Jensen
Large-scale integration of data and text
Large-scale integration of data and text
Lars Juhl Jensen
Cross-species data integration
Cross-species data integration
Lars Juhl Jensen
STRING - Protein networks from data and text mining
STRING - Protein networks from data and text mining
Lars Juhl Jensen
The STRING database
The STRING database
Lars Juhl Jensen
Integration of heterogeneous data
Integration of heterogeneous data
Lars Juhl Jensen
Systems biology - Understanding biology at the systems level
Systems biology - Understanding biology at the systems level
Lars Juhl Jensen
Introduction to STRING
Introduction to STRING
Lars Juhl Jensen
Systems biology: Bioinformatics on complete biological system
Systems biology: Bioinformatics on complete biological system
Lars Juhl Jensen
Text and data mining
Text and data mining
Lars Juhl Jensen
Data integration and functional association networks
Data integration and functional association networks
Lars Juhl Jensen
Protein association networks with STRING
Protein association networks with STRING
Lars Juhl Jensen
Systems biology: Bioinformatics on complete biological systems
Systems biology: Bioinformatics on complete biological systems
Lars Juhl Jensen
STRING: Large-scale data and text mining
STRING: Large-scale data and text mining
Lars Juhl Jensen
Network integration of data and text
Network integration of data and text
Lars Juhl Jensen
The STRING database - Quality scores for heterogeneous interaction data
The STRING database - Quality scores for heterogeneous interaction data
Lars Juhl Jensen
Using networks to derive function
Using networks to derive function
Lars Juhl Jensen
Data and Text Mining
Data and Text Mining
Lars Juhl Jensen
Gene association networks - Large-scale integration of data and text
Gene association networks - Large-scale integration of data and text
Lars Juhl Jensen
Systems Biology Approaches to Cancer
Systems Biology Approaches to Cancer
Raunak Shrestha
Large-scale data and text mining
Large-scale data and text mining
Lars Juhl Jensen
Gene association networks - Large-scale integration of data and text
Gene association networks - Large-scale integration of data and text
Lars Juhl Jensen
Network biology - Large-scale integration of data and text
Network biology - Large-scale integration of data and text
Lars Juhl Jensen
Cancer genome databases & Ecological databases
Cancer genome databases & Ecological databases
Waliullah Wali
Data mining
Data mining
ShwetA Kumari
Weitere ähnliche Inhalte
Was ist angesagt?
STRING - Protein networks from data and text mining
STRING - Protein networks from data and text mining
Lars Juhl Jensen
The STRING database
The STRING database
Lars Juhl Jensen
Integration of heterogeneous data
Integration of heterogeneous data
Lars Juhl Jensen
Systems biology - Understanding biology at the systems level
Systems biology - Understanding biology at the systems level
Lars Juhl Jensen
Introduction to STRING
Introduction to STRING
Lars Juhl Jensen
Systems biology: Bioinformatics on complete biological system
Systems biology: Bioinformatics on complete biological system
Lars Juhl Jensen
Text and data mining
Text and data mining
Lars Juhl Jensen
Data integration and functional association networks
Data integration and functional association networks
Lars Juhl Jensen
Protein association networks with STRING
Protein association networks with STRING
Lars Juhl Jensen
Systems biology: Bioinformatics on complete biological systems
Systems biology: Bioinformatics on complete biological systems
Lars Juhl Jensen
STRING: Large-scale data and text mining
STRING: Large-scale data and text mining
Lars Juhl Jensen
Network integration of data and text
Network integration of data and text
Lars Juhl Jensen
The STRING database - Quality scores for heterogeneous interaction data
The STRING database - Quality scores for heterogeneous interaction data
Lars Juhl Jensen
Using networks to derive function
Using networks to derive function
Lars Juhl Jensen
Data and Text Mining
Data and Text Mining
Lars Juhl Jensen
Gene association networks - Large-scale integration of data and text
Gene association networks - Large-scale integration of data and text
Lars Juhl Jensen
Systems Biology Approaches to Cancer
Systems Biology Approaches to Cancer
Raunak Shrestha
Large-scale data and text mining
Large-scale data and text mining
Lars Juhl Jensen
Gene association networks - Large-scale integration of data and text
Gene association networks - Large-scale integration of data and text
Lars Juhl Jensen
Network biology - Large-scale integration of data and text
Network biology - Large-scale integration of data and text
Lars Juhl Jensen
Was ist angesagt?
(20)
STRING - Protein networks from data and text mining
STRING - Protein networks from data and text mining
The STRING database
The STRING database
Integration of heterogeneous data
Integration of heterogeneous data
Systems biology - Understanding biology at the systems level
Systems biology - Understanding biology at the systems level
Introduction to STRING
Introduction to STRING
Systems biology: Bioinformatics on complete biological system
Systems biology: Bioinformatics on complete biological system
Text and data mining
Text and data mining
Data integration and functional association networks
Data integration and functional association networks
Protein association networks with STRING
Protein association networks with STRING
Systems biology: Bioinformatics on complete biological systems
Systems biology: Bioinformatics on complete biological systems
STRING: Large-scale data and text mining
STRING: Large-scale data and text mining
Network integration of data and text
Network integration of data and text
The STRING database - Quality scores for heterogeneous interaction data
The STRING database - Quality scores for heterogeneous interaction data
Using networks to derive function
Using networks to derive function
Data and Text Mining
Data and Text Mining
Gene association networks - Large-scale integration of data and text
Gene association networks - Large-scale integration of data and text
Systems Biology Approaches to Cancer
Systems Biology Approaches to Cancer
Large-scale data and text mining
Large-scale data and text mining
Gene association networks - Large-scale integration of data and text
Gene association networks - 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
Andere mochten auch
Cancer genome databases & Ecological databases
Cancer genome databases & Ecological databases
Waliullah Wali
Data mining
Data mining
ShwetA Kumari
Introduction to Cancer Genomics Databases
Introduction to Cancer Genomics Databases
Neuro, McGill University
HEALTHCARE RESEARCH METHODS: Primary Studies: Selecting a Sample Population a...
HEALTHCARE RESEARCH METHODS: Primary Studies: Selecting a Sample Population a...
Dr. Khaled OUANES
Genome Browsing, Genomic Data Mining and Genome Data Visualization with Ensem...
Genome Browsing, Genomic Data Mining and Genome Data Visualization with Ensem...
VHIR Vall d’Hebron Institut de Recerca
Introduction to Data Mining / Bioinformatics
Introduction to Data Mining / Bioinformatics
Gerald Lushington
Sample and population
Sample and population
Altafiyani Rahmatika
Data Mining: Concepts and techniques: Chapter 13 trend
Data Mining: Concepts and techniques: Chapter 13 trend
Salah Amean
variational bayes in biophysics
variational bayes in biophysics
chris wiggins
Data mining and_big_data_web
Data mining and_big_data_web
Big Data Engineering, Faculty of Engineering, Dhurakij Pundit University
Knowledge discovery thru data mining
Knowledge discovery thru data mining
Devakumar Jain
Biological databases
Biological databases
Sucheta Tripathy
BIOLOGICAL SEQUENCE DATABASES
BIOLOGICAL SEQUENCE DATABASES
nadeem akhter
Biological databases
Biological databases
Malla Reddy College of Pharmacy
Population and sample mean
Population and sample mean
Avjinder (Avi) Kaler
Biological databases
Biological databases
Sarfaraz Nasri
Computer aided drug designing (CADD)
Computer aided drug designing (CADD)
Aakshay Subramaniam
Biological databases
Biological databases
Prasanthperceptron
databases in bioinformatics
databases in bioinformatics
nadeem akhter
Predictive Analytics using R
Predictive Analytics using R
Jeffrey Strickland, Ph.D., CMSP
Andere mochten auch
(20)
Cancer genome databases & Ecological databases
Cancer genome databases & Ecological databases
Data mining
Data mining
Introduction to Cancer Genomics Databases
Introduction to Cancer Genomics Databases
HEALTHCARE RESEARCH METHODS: Primary Studies: Selecting a Sample Population a...
HEALTHCARE RESEARCH METHODS: Primary Studies: Selecting a Sample Population a...
Genome Browsing, Genomic Data Mining and Genome Data Visualization with Ensem...
Genome Browsing, Genomic Data Mining and Genome Data Visualization with Ensem...
Introduction to Data Mining / Bioinformatics
Introduction to Data Mining / Bioinformatics
Sample and population
Sample and population
Data Mining: Concepts and techniques: Chapter 13 trend
Data Mining: Concepts and techniques: Chapter 13 trend
variational bayes in biophysics
variational bayes in biophysics
Data mining and_big_data_web
Data mining and_big_data_web
Knowledge discovery thru data mining
Knowledge discovery thru data mining
Biological databases
Biological databases
BIOLOGICAL SEQUENCE DATABASES
BIOLOGICAL SEQUENCE DATABASES
Biological databases
Biological databases
Population and sample mean
Population and sample mean
Biological databases
Biological databases
Computer aided drug designing (CADD)
Computer aided drug designing (CADD)
Biological databases
Biological databases
databases in bioinformatics
databases in bioinformatics
Predictive Analytics using R
Predictive Analytics using R
Ähnlich wie STRING - Modeling of biological systems through cross-species data integration
Large-scale integration of data and text
Large-scale integration of data and text
Lars Juhl Jensen
Integration of diverse large-scale datasets
Integration of diverse large-scale datasets
Lars Juhl Jensen
Integration of heterogeneous data
Integration of heterogeneous data
Lars Juhl Jensen
Large-scale data and text mining
Large-scale data and text mining
Lars Juhl Jensen
Networks of proteins and diseases
Networks of proteins and diseases
Lars Juhl Jensen
Protein interaction networks from yeast to human
Protein interaction networks from yeast to human
Lars Juhl Jensen
Data integration: The STITCH database of protein-small molecule interactions
Data integration: The STITCH database of protein-small molecule interactions
Lars Juhl Jensen
Unraveling signaling networks by data integration
Unraveling signaling networks by data integration
Lars Juhl Jensen
Large-scale integration of data and text
Large-scale integration of data and text
Lars Juhl Jensen
Exploring proteins, chemicals and their interactions with STRING and STITCH
Exploring proteins, chemicals and their interactions with STRING and STITCH
biocs
Data integration - Integration of functional associations using STRING
Data integration - Integration of functional associations using STRING
Lars Juhl Jensen
Network biology
Network biology
Lars Juhl Jensen
Unraveling signal transduction networks through data integration
Unraveling signal transduction networks through data integration
Lars Juhl Jensen
Large-scale biomedical data and text integration
Large-scale biomedical data and text integration
Lars Juhl Jensen
Functional association networks - The STRING and STITCH web resources
Functional association networks - The STRING and STITCH web resources
Lars Juhl Jensen
Networks of proteins and diseases
Networks of proteins and diseases
Lars Juhl Jensen
Network Biology: Large-scale integration of data and text
Network Biology: Large-scale integration of data and text
Lars Juhl Jensen
Network biology
Network biology
Lars Juhl Jensen
Advanced bioinformaticsof proteomics datasets
Advanced bioinformaticsof proteomics datasets
Lars Juhl Jensen
The STITCH and Reflect web resources
The STITCH and Reflect web resources
Lars Juhl Jensen
Ähnlich wie STRING - Modeling of biological systems through cross-species data integration
(20)
Large-scale integration of data and text
Large-scale integration of data and text
Integration of diverse large-scale datasets
Integration of diverse large-scale datasets
Integration of heterogeneous data
Integration of heterogeneous data
Large-scale data and text mining
Large-scale data and text mining
Networks of proteins and diseases
Networks of proteins and diseases
Protein interaction networks from yeast to human
Protein interaction networks from yeast to human
Data integration: The STITCH database of protein-small molecule interactions
Data integration: The STITCH database of protein-small molecule interactions
Unraveling signaling networks by data integration
Unraveling signaling networks by data integration
Large-scale integration of data and text
Large-scale integration of data and text
Exploring proteins, chemicals and their interactions with STRING and STITCH
Exploring proteins, chemicals and their interactions with STRING and STITCH
Data integration - Integration of functional associations using STRING
Data integration - Integration of functional associations using STRING
Network biology
Network biology
Unraveling signal transduction networks through data integration
Unraveling signal transduction networks through data integration
Large-scale biomedical data and text integration
Large-scale biomedical data and text integration
Functional association networks - The STRING and STITCH web resources
Functional association networks - The STRING and STITCH web resources
Networks of proteins and diseases
Networks of proteins and diseases
Network Biology: Large-scale integration of data and text
Network Biology: Large-scale integration of data and text
Network biology
Network biology
Advanced bioinformaticsof proteomics datasets
Advanced bioinformaticsof proteomics datasets
The STITCH and Reflect web resources
The STITCH and Reflect web resources
Mehr von Lars Juhl Jensen
One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...
Lars Juhl Jensen
One tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicine
Lars Juhl Jensen
Extract 2.0: Text-mining-assisted interactive annotation
Extract 2.0: Text-mining-assisted interactive annotation
Lars Juhl Jensen
Network visualization: A crash course on using Cytoscape
Network visualization: A crash course on using Cytoscape
Lars Juhl Jensen
Biomedical text mining: Automatic processing of unstructured text
Biomedical text mining: Automatic processing of unstructured text
Lars Juhl Jensen
Medical network analysis: Linking diseases and genes through data and text mi...
Medical network analysis: Linking diseases and genes through data and text mi...
Lars Juhl Jensen
Network Biology: A crash course on STRING and Cytoscape
Network Biology: A crash course on STRING and Cytoscape
Lars Juhl Jensen
Cellular networks
Cellular networks
Lars Juhl Jensen
Cellular Network Biology: Large-scale integration of data and text
Cellular Network Biology: Large-scale integration of data and text
Lars Juhl Jensen
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Lars Juhl Jensen
STRING & related databases: Large-scale integration of heterogeneous data
STRING & related databases: Large-scale integration of heterogeneous data
Lars Juhl Jensen
Tagger: Rapid dictionary-based named entity recognition
Tagger: Rapid dictionary-based named entity recognition
Lars Juhl Jensen
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
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
Lars Juhl Jensen
Cellular Network Biology
Cellular Network Biology
Lars Juhl Jensen
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and text
Lars Juhl Jensen
Biomarker bioinformatics: Network-based candidate prioritization
Biomarker bioinformatics: Network-based candidate prioritization
Lars Juhl Jensen
The Art of Counting: Scoring and ranking co-occurrences in literature
The Art of Counting: Scoring and ranking co-occurrences in literature
Lars Juhl Jensen
Text-mining-based retrieval of protein networks
Text-mining-based retrieval of protein networks
Lars Juhl Jensen
Mehr von Lars Juhl Jensen
(20)
One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicine
Extract 2.0: Text-mining-assisted interactive annotation
Extract 2.0: Text-mining-assisted interactive annotation
Network visualization: A crash course on using Cytoscape
Network visualization: A crash course on using Cytoscape
Biomedical text mining: Automatic processing of unstructured text
Biomedical text mining: Automatic processing of unstructured text
Medical network analysis: Linking diseases and genes through data and text mi...
Medical network analysis: Linking diseases and genes through data and text mi...
Network Biology: A crash course on STRING and Cytoscape
Network Biology: A crash course on STRING and Cytoscape
Cellular networks
Cellular networks
Cellular Network Biology: Large-scale integration of data and text
Cellular Network Biology: Large-scale integration of data and text
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
STRING & related databases: Large-scale integration of heterogeneous data
STRING & related databases: Large-scale integration of heterogeneous data
Tagger: Rapid dictionary-based named entity recognition
Tagger: Rapid dictionary-based named entity recognition
Medical text mining: Linking diseases, drugs, and adverse reactions
Medical text mining: Linking diseases, drugs, and adverse reactions
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and text
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Cellular Network Biology
Cellular Network Biology
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and text
Biomarker bioinformatics: Network-based candidate prioritization
Biomarker bioinformatics: Network-based candidate prioritization
The Art of Counting: Scoring and ranking co-occurrences in literature
The Art of Counting: Scoring and ranking co-occurrences in literature
Text-mining-based retrieval of protein networks
Text-mining-based retrieval of protein networks
Kürzlich hochgeladen
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
ThousandEyes
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
gurkirankumar98700
Google AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAG
Sujit Pal
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Igalia
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Miguel Araújo
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
Delhi Call girls
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
naman860154
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
ThousandEyes
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
Delhi Call girls
🐬 The future of MySQL is Postgres 🐘
🐬 The future of MySQL is Postgres 🐘
RTylerCroy
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Alan Dix
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
soniya singh
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
Safe Software
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
Allon Mureinik
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
The Digital Insurer
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
HostedbyConfluent
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
2toLead Limited
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
Anna Loughnan Colquhoun
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
Gabriella Davis
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
Delhi Call girls
Kürzlich hochgeladen
(20)
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Google AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAG
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
🐬 The future of MySQL is Postgres 🐘
🐬 The future of MySQL is Postgres 🐘
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
STRING - Modeling of biological systems through cross-species data integration
1.
STRING Modeling of
biological systems through cross-species data integration
2.
Lars Juhl Jensen
3.
4.
5.
promoter analysis
6.
Jensen et al.,
Bioinformatics, 2000
7.
genome visualization
8.
Pedersen et al.,
Journal of Molecular Biology, 2000
9.
protein function prediction
10.
11.
12.
13.
STRING
14.
15.
integrate diverse evidence
16.
functional interactions
17.
Bork et al.,
Current Opinion in Structural Biology, 2005
18.
179 proteomes
19.
genomic context methods
20.
phylogenetic profiles
21.
22.
23.
24.
25.
Cell Cellulosomes Cellulose
26.
anti-correlated profiles
27.
28.
analogous enzymes
29.
Morett et al.,
Nature Biotechnology, 2003
30.
gene neighborhood
31.
32.
bidirectional promoters
33.
34.
Korbel et al.,
Nature Biotechnology, 2004
35.
gene fusion
36.
37.
evolution
38.
39.
40.
statistics
41.
(the original sin)
42.
scoring and benchmarking
43.
raw quality scores
44.
gene neighborhood
45.
sum of intergenic
distances
46.
47.
many types of
evidence
48.
not directly comparable
49.
calibrate vs. gold
standard
50.
51.
curated knowledge
52.
KEGG Kyoto Encyclopedia
of Genes and Genomes
53.
STKE Signal Transduction
Knowledge Environment
54.
Reactome
55.
MIPS Munich Information
center for Protein Sequences
56.
primary experimental data
57.
Jensen et al.,
Drug Discovery Today: Targets, 2004
58.
microarray expression data
59.
GEO Gene Expression
Omnibus
60.
physical protein interactions
61.
BIND Biomolecular Interaction
Network Database
62.
MINT Molecular Interactions
Database
63.
GRID General Repository
for Interaction Datasets
64.
DIP Database of
Interacting Proteins
65.
HPRD Human Protein
Reference Database
66.
von Mering et
al., Nucleic Acids Research, 2005
67.
literature mining
68.
M EDLINE
69.
SGD Saccharomyces Genome
Database
70.
The Interactive Fly
71.
OMIM Online Mendelian
Inheritance in Man
72.
co-mentioning
73.
different gene names
74.
curated synonyms lists
75.
NLP Natural Language
Processing
76.
77.
Jensen et al.,
Nature Reviews Genetics, 2006
78.
combine all evidence
79.
na ïve Bayesian
scheme
80.
spread over many
species
81.
transfer based orthology
82.
? Source species
Target species
83.
84.
85.
86.
87.
88.
89.
defining functional modules
90.
91.
92.
qualitative modeling
93.
the mitochondrial system
94.
95.
RCCs
96.
predicting “mode of
action”
97.
Jensen et al.,
Drug Discovery Today: Targets, 2004
98.
Jensen et al.,
Drug Discovery Today: Targets, 2004
99.
100.
Thank you!
Jetzt herunterladen