SlideShare a Scribd company logo
Hospital Universitari Vall d’Hebron
Institut de Recerca - VHIR
Institut d’Investigació Sanitària de l’Instituto de Salud Carlos III (ISCIII)
Bioinformàtica per la
Recerca Biomèdica
http://ueb.vhir.org/2014BRB
Ferran Briansó
ferran.brianso@vhir.org
22/05/2014
INTRODUCTION TO
FUNCTIONAL ANALYSIS
1. WORKFLOW ANALYSIS EXAMPLE
2. GENE (OR WHATEVER) LIST(S)
3. FROM LISTS TO BIOLOGY
4. BENEFITS (AND DRAWBACKS)
5. BASIC EXAMPLE
6. FUNCTIONAL ANALYSIS TOOLS
7. INGENUITY PATHWAY ANALYSIS
●
The Ingenuity Vision
●
IPA Knowledge Base
●
IPA Definitions
●
Tips & Hints for Expression Analyses
1
2
3
5
6
PRESENTATION OUTLINE
4
7
WORKFLOW ANALYSIS EXAMPLE1
3
GENE (OR WHATEVER) LIST(s)2
4
2
5
FROM LISTS TO BIOLOGY3
●
Classical approach for gene list analysis: one
by one
– Literature, databases, ...
●
Problem:
– Slow and tedious task, and what is worst...
– Ignores possible interactions
●
Alternative approach: functional analysis (aka
biological significance)
6
BENEFITS (AND DRAWBACKS)4
✔
Authomatic methods for
✔
Identification of biological processes associated with experimental
results.
✔
Determination/Comparison of common functions in selected groups
of genes.
✔
Analisys of connections between genes, molecules and/or diseases
through literature mining, in order to find relevant associations
according with experimental data.
✔
Make auxiliary information more accessible
✔
Contribute to the understanding of the underlying biological
phenomena
✗
Require more sofisticated software & hardware
✗
Depend on the degree of curation of the data sources
BASIC EXAMPLE: from genes to functions
7
5
BASIC EXAMPLE: from functions to pathways
8
5
BASIC EXAMPLE: pathways with fold change
9
5
FUNCTIONAL ANALYSIS TOOLS
10
6
●
Several tools deployed in the last 15 years
http://estbioinfo.stat.ub.es/resources/index.html
●
Direct study of gene lists
– Based on GO or other BD (KEGG...) 
●
fatiGO, DAVID, GSEA, Babelomics ... [SerbGO]
●
Ingenuity Pathways Analysis
●
Mining relationships from literature
– PubMed, Scopus, HighWire, GOPubMed, …
– Ingenuity Pathways Analysis
●
Analysis of pathways inferred from the lists
– Pathway Explorer, MappFinder, GenMapp ...
– Ingenuity Pathway Analysis
FUNCTIONAL ANALYSIS TOOLS
11
6
INGENUITY PATHWAY ANALYSIS
12
7
http://www.ingenuity.com/products/ipa
+ Maverix (NGS, RNA-seq...)
QIAGEN's IPA
The Ingenuity Vision
13
7
IPA Knowledge Base1
14
7
IPA Definitions7
15
Tips & Hints for Expression Analyses
16
7

More Related Content

Viewers also liked

Lambda calculus
Lambda calculusLambda calculus
Lambda calculus
Diego Mendonça
 
FIU Presentation
FIU PresentationFIU Presentation
FIU Presentation
Irene Polo
 
Parallella seminar ppt
Parallella seminar pptParallella seminar ppt
Parallella seminar ppt
Ambili Baby
 
Introduction to systems biology
Introduction to systems biologyIntroduction to systems biology
Introduction to systems biology
lemberger
 
Tata Ace Serving An Ace
Tata Ace Serving An AceTata Ace Serving An Ace
Tata Ace Serving An Ace
Sumit Rana
 
Metagenomics: An overview
Metagenomics: An overviewMetagenomics: An overview
Metagenomics: An overview
Jerome Andonissamy
 
2009 hattori metagenomics
2009 hattori metagenomics2009 hattori metagenomics
2009 hattori metagenomics
drugmetabol
 
metagenomics
metagenomicsmetagenomics
metagenomics
Ghooda Shaqour
 
Job Analysis (FJA)
Job Analysis (FJA)Job Analysis (FJA)
Job Analysis (FJA)
Emma Duane
 
Tata ace story
Tata ace storyTata ace story
Tata ace story
Yuvraj Sarda
 
How to Write Amazing Functional Analysis Documents for your SharePoint Projects
How to Write Amazing Functional Analysis Documents for your SharePoint Projects How to Write Amazing Functional Analysis Documents for your SharePoint Projects
How to Write Amazing Functional Analysis Documents for your SharePoint Projects
GSoft
 
[2013.10.29] albertsen genomics metagenomics
[2013.10.29] albertsen genomics metagenomics[2013.10.29] albertsen genomics metagenomics
[2013.10.29] albertsen genomics metagenomics
Mads Albertsen
 
Introduction to 3D and Modeling
Introduction to 3D and ModelingIntroduction to 3D and Modeling
Introduction to 3D and Modeling
Cruz4D
 
The Making Of Tata Nano
The Making Of Tata NanoThe Making Of Tata Nano
The Making Of Tata Nano
mohammadaarifkhan
 
[13.07.07] albertsen mewe13 metagenomics
[13.07.07] albertsen mewe13 metagenomics[13.07.07] albertsen mewe13 metagenomics
[13.07.07] albertsen mewe13 metagenomics
Mads Albertsen
 
TATA Nano sales ppt
TATA Nano sales pptTATA Nano sales ppt
TATA Nano sales ppt
yashraj1105
 

Viewers also liked (16)

Lambda calculus
Lambda calculusLambda calculus
Lambda calculus
 
FIU Presentation
FIU PresentationFIU Presentation
FIU Presentation
 
Parallella seminar ppt
Parallella seminar pptParallella seminar ppt
Parallella seminar ppt
 
Introduction to systems biology
Introduction to systems biologyIntroduction to systems biology
Introduction to systems biology
 
Tata Ace Serving An Ace
Tata Ace Serving An AceTata Ace Serving An Ace
Tata Ace Serving An Ace
 
Metagenomics: An overview
Metagenomics: An overviewMetagenomics: An overview
Metagenomics: An overview
 
2009 hattori metagenomics
2009 hattori metagenomics2009 hattori metagenomics
2009 hattori metagenomics
 
metagenomics
metagenomicsmetagenomics
metagenomics
 
Job Analysis (FJA)
Job Analysis (FJA)Job Analysis (FJA)
Job Analysis (FJA)
 
Tata ace story
Tata ace storyTata ace story
Tata ace story
 
How to Write Amazing Functional Analysis Documents for your SharePoint Projects
How to Write Amazing Functional Analysis Documents for your SharePoint Projects How to Write Amazing Functional Analysis Documents for your SharePoint Projects
How to Write Amazing Functional Analysis Documents for your SharePoint Projects
 
[2013.10.29] albertsen genomics metagenomics
[2013.10.29] albertsen genomics metagenomics[2013.10.29] albertsen genomics metagenomics
[2013.10.29] albertsen genomics metagenomics
 
Introduction to 3D and Modeling
Introduction to 3D and ModelingIntroduction to 3D and Modeling
Introduction to 3D and Modeling
 
The Making Of Tata Nano
The Making Of Tata NanoThe Making Of Tata Nano
The Making Of Tata Nano
 
[13.07.07] albertsen mewe13 metagenomics
[13.07.07] albertsen mewe13 metagenomics[13.07.07] albertsen mewe13 metagenomics
[13.07.07] albertsen mewe13 metagenomics
 
TATA Nano sales ppt
TATA Nano sales pptTATA Nano sales ppt
TATA Nano sales ppt
 

More from VHIR Vall d’Hebron Institut de Recerca

Introduction to Metagenomics. Applications, Approaches and Tools (Bioinformat...
Introduction to Metagenomics. Applications, Approaches and Tools (Bioinformat...Introduction to Metagenomics. Applications, Approaches and Tools (Bioinformat...
Introduction to Metagenomics. Applications, Approaches and Tools (Bioinformat...
VHIR Vall d’Hebron Institut de Recerca
 
Introduction to RNA-seq and RNA-seq Data Analysis (UEB-UAT Bioinformatics Cou...
Introduction to RNA-seq and RNA-seq Data Analysis (UEB-UAT Bioinformatics Cou...Introduction to RNA-seq and RNA-seq Data Analysis (UEB-UAT Bioinformatics Cou...
Introduction to RNA-seq and RNA-seq Data Analysis (UEB-UAT Bioinformatics Cou...
VHIR Vall d’Hebron Institut de Recerca
 
Brief Overview to Amplicon Variant Analysis (UEB-UAT Bioinformatics Course - ...
Brief Overview to Amplicon Variant Analysis (UEB-UAT Bioinformatics Course - ...Brief Overview to Amplicon Variant Analysis (UEB-UAT Bioinformatics Course - ...
Brief Overview to Amplicon Variant Analysis (UEB-UAT Bioinformatics Course - ...
VHIR Vall d’Hebron Institut de Recerca
 
Introduction to NGS Variant Calling Analysis (UEB-UAT Bioinformatics Course -...
Introduction to NGS Variant Calling Analysis (UEB-UAT Bioinformatics Course -...Introduction to NGS Variant Calling Analysis (UEB-UAT Bioinformatics Course -...
Introduction to NGS Variant Calling Analysis (UEB-UAT Bioinformatics Course -...
VHIR Vall d’Hebron Institut de Recerca
 
Introduction to Galaxy (UEB-UAT Bioinformatics Course - Session 2.2 - VHIR, B...
Introduction to Galaxy (UEB-UAT Bioinformatics Course - Session 2.2 - VHIR, B...Introduction to Galaxy (UEB-UAT Bioinformatics Course - Session 2.2 - VHIR, B...
Introduction to Galaxy (UEB-UAT Bioinformatics Course - Session 2.2 - VHIR, B...
VHIR Vall d’Hebron Institut de Recerca
 
NGS Applications II (UEB-UAT Bioinformatics Course - Session 2.1.3 - VHIR, Ba...
NGS Applications II (UEB-UAT Bioinformatics Course - Session 2.1.3 - VHIR, Ba...NGS Applications II (UEB-UAT Bioinformatics Course - Session 2.1.3 - VHIR, Ba...
NGS Applications II (UEB-UAT Bioinformatics Course - Session 2.1.3 - VHIR, Ba...
VHIR Vall d’Hebron Institut de Recerca
 
NGS Applications I (UEB-UAT Bioinformatics Course - Session 2.1.2 - VHIR, Bar...
NGS Applications I (UEB-UAT Bioinformatics Course - Session 2.1.2 - VHIR, Bar...NGS Applications I (UEB-UAT Bioinformatics Course - Session 2.1.2 - VHIR, Bar...
NGS Applications I (UEB-UAT Bioinformatics Course - Session 2.1.2 - VHIR, Bar...
VHIR Vall d’Hebron Institut de Recerca
 
NGS Introduction and Technology Overview (UEB-UAT Bioinformatics Course - Ses...
NGS Introduction and Technology Overview (UEB-UAT Bioinformatics Course - Ses...NGS Introduction and Technology Overview (UEB-UAT Bioinformatics Course - Ses...
NGS Introduction and Technology Overview (UEB-UAT Bioinformatics Course - Ses...
VHIR Vall d’Hebron Institut de Recerca
 
Storing and Accessing Information. Databases and Queries (UEB-UAT Bioinformat...
Storing and Accessing Information. Databases and Queries (UEB-UAT Bioinformat...Storing and Accessing Information. Databases and Queries (UEB-UAT Bioinformat...
Storing and Accessing Information. Databases and Queries (UEB-UAT Bioinformat...
VHIR Vall d’Hebron Institut de Recerca
 
Introduction to Bioinformatics (UEB-UAT Bioinformatics Course - Session 1.1 -...
Introduction to Bioinformatics (UEB-UAT Bioinformatics Course - Session 1.1 -...Introduction to Bioinformatics (UEB-UAT Bioinformatics Course - Session 1.1 -...
Introduction to Bioinformatics (UEB-UAT Bioinformatics Course - Session 1.1 -...
VHIR Vall d’Hebron Institut de Recerca
 
Genome Browsing, Genomic Data Mining and Genome Data Visualization with Ensem...
Genome Browsing, Genomic Data Mining and Genome Data Visualization with Ensem...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
 
Information management at vhir ueb using tiki-cms
Information management at vhir ueb using tiki-cmsInformation management at vhir ueb using tiki-cms
Information management at vhir ueb using tiki-cms
VHIR Vall d’Hebron Institut de Recerca
 
Introduction to Metagenomics Data Analysis - UEB-VHIR - 2013
Introduction to Metagenomics Data Analysis - UEB-VHIR - 2013Introduction to Metagenomics Data Analysis - UEB-VHIR - 2013
Introduction to Metagenomics Data Analysis - UEB-VHIR - 2013
VHIR Vall d’Hebron Institut de Recerca
 
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de RT-qPCR
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de RT-qPCRCurso de Genómica - UAT (VHIR) 2012 - Análisis de datos de RT-qPCR
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de RT-qPCR
VHIR Vall d’Hebron Institut de Recerca
 
Curso de Genómica - UAT (VHIR) 2012 - RT-qPCR
Curso de Genómica - UAT (VHIR) 2012 - RT-qPCRCurso de Genómica - UAT (VHIR) 2012 - RT-qPCR
Curso de Genómica - UAT (VHIR) 2012 - RT-qPCR
VHIR Vall d’Hebron Institut de Recerca
 
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de expression génica
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de expression génicaCurso de Genómica - UAT (VHIR) 2012 - Análisis de datos de expression génica
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de expression génica
VHIR Vall d’Hebron Institut de Recerca
 
Curso de Genómica - UAT (VHIR) 2012 - Microarrays
Curso de Genómica - UAT (VHIR) 2012 - MicroarraysCurso de Genómica - UAT (VHIR) 2012 - Microarrays
Curso de Genómica - UAT (VHIR) 2012 - Microarrays
VHIR Vall d’Hebron Institut de Recerca
 
Curso de Genómica - UAT (VHIR) 2012 - Arrays de Proteínas Zeptosens
 Curso de Genómica - UAT (VHIR) 2012 - Arrays de Proteínas Zeptosens Curso de Genómica - UAT (VHIR) 2012 - Arrays de Proteínas Zeptosens
Curso de Genómica - UAT (VHIR) 2012 - Arrays de Proteínas Zeptosens
VHIR Vall d’Hebron Institut de Recerca
 
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de NGS
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de NGSCurso de Genómica - UAT (VHIR) 2012 - Análisis de datos de NGS
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de NGS
VHIR Vall d’Hebron Institut de Recerca
 
Curso de Genómica - UAT (VHIR) 2012 - Tecnologías de Ultrasecuenciación y de ...
Curso de Genómica - UAT (VHIR) 2012 - Tecnologías de Ultrasecuenciación y de ...Curso de Genómica - UAT (VHIR) 2012 - Tecnologías de Ultrasecuenciación y de ...
Curso de Genómica - UAT (VHIR) 2012 - Tecnologías de Ultrasecuenciación y de ...
VHIR Vall d’Hebron Institut de Recerca
 

More from VHIR Vall d’Hebron Institut de Recerca (20)

Introduction to Metagenomics. Applications, Approaches and Tools (Bioinformat...
Introduction to Metagenomics. Applications, Approaches and Tools (Bioinformat...Introduction to Metagenomics. Applications, Approaches and Tools (Bioinformat...
Introduction to Metagenomics. Applications, Approaches and Tools (Bioinformat...
 
Introduction to RNA-seq and RNA-seq Data Analysis (UEB-UAT Bioinformatics Cou...
Introduction to RNA-seq and RNA-seq Data Analysis (UEB-UAT Bioinformatics Cou...Introduction to RNA-seq and RNA-seq Data Analysis (UEB-UAT Bioinformatics Cou...
Introduction to RNA-seq and RNA-seq Data Analysis (UEB-UAT Bioinformatics Cou...
 
Brief Overview to Amplicon Variant Analysis (UEB-UAT Bioinformatics Course - ...
Brief Overview to Amplicon Variant Analysis (UEB-UAT Bioinformatics Course - ...Brief Overview to Amplicon Variant Analysis (UEB-UAT Bioinformatics Course - ...
Brief Overview to Amplicon Variant Analysis (UEB-UAT Bioinformatics Course - ...
 
Introduction to NGS Variant Calling Analysis (UEB-UAT Bioinformatics Course -...
Introduction to NGS Variant Calling Analysis (UEB-UAT Bioinformatics Course -...Introduction to NGS Variant Calling Analysis (UEB-UAT Bioinformatics Course -...
Introduction to NGS Variant Calling Analysis (UEB-UAT Bioinformatics Course -...
 
Introduction to Galaxy (UEB-UAT Bioinformatics Course - Session 2.2 - VHIR, B...
Introduction to Galaxy (UEB-UAT Bioinformatics Course - Session 2.2 - VHIR, B...Introduction to Galaxy (UEB-UAT Bioinformatics Course - Session 2.2 - VHIR, B...
Introduction to Galaxy (UEB-UAT Bioinformatics Course - Session 2.2 - VHIR, B...
 
NGS Applications II (UEB-UAT Bioinformatics Course - Session 2.1.3 - VHIR, Ba...
NGS Applications II (UEB-UAT Bioinformatics Course - Session 2.1.3 - VHIR, Ba...NGS Applications II (UEB-UAT Bioinformatics Course - Session 2.1.3 - VHIR, Ba...
NGS Applications II (UEB-UAT Bioinformatics Course - Session 2.1.3 - VHIR, Ba...
 
NGS Applications I (UEB-UAT Bioinformatics Course - Session 2.1.2 - VHIR, Bar...
NGS Applications I (UEB-UAT Bioinformatics Course - Session 2.1.2 - VHIR, Bar...NGS Applications I (UEB-UAT Bioinformatics Course - Session 2.1.2 - VHIR, Bar...
NGS Applications I (UEB-UAT Bioinformatics Course - Session 2.1.2 - VHIR, Bar...
 
NGS Introduction and Technology Overview (UEB-UAT Bioinformatics Course - Ses...
NGS Introduction and Technology Overview (UEB-UAT Bioinformatics Course - Ses...NGS Introduction and Technology Overview (UEB-UAT Bioinformatics Course - Ses...
NGS Introduction and Technology Overview (UEB-UAT Bioinformatics Course - Ses...
 
Storing and Accessing Information. Databases and Queries (UEB-UAT Bioinformat...
Storing and Accessing Information. Databases and Queries (UEB-UAT Bioinformat...Storing and Accessing Information. Databases and Queries (UEB-UAT Bioinformat...
Storing and Accessing Information. Databases and Queries (UEB-UAT Bioinformat...
 
Introduction to Bioinformatics (UEB-UAT Bioinformatics Course - Session 1.1 -...
Introduction to Bioinformatics (UEB-UAT Bioinformatics Course - Session 1.1 -...Introduction to Bioinformatics (UEB-UAT Bioinformatics Course - Session 1.1 -...
Introduction to Bioinformatics (UEB-UAT Bioinformatics Course - Session 1.1 -...
 
Genome Browsing, Genomic Data Mining and Genome Data Visualization with Ensem...
Genome Browsing, Genomic Data Mining and Genome Data Visualization with Ensem...Genome Browsing, Genomic Data Mining and Genome Data Visualization with Ensem...
Genome Browsing, Genomic Data Mining and Genome Data Visualization with Ensem...
 
Information management at vhir ueb using tiki-cms
Information management at vhir ueb using tiki-cmsInformation management at vhir ueb using tiki-cms
Information management at vhir ueb using tiki-cms
 
Introduction to Metagenomics Data Analysis - UEB-VHIR - 2013
Introduction to Metagenomics Data Analysis - UEB-VHIR - 2013Introduction to Metagenomics Data Analysis - UEB-VHIR - 2013
Introduction to Metagenomics Data Analysis - UEB-VHIR - 2013
 
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de RT-qPCR
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de RT-qPCRCurso de Genómica - UAT (VHIR) 2012 - Análisis de datos de RT-qPCR
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de RT-qPCR
 
Curso de Genómica - UAT (VHIR) 2012 - RT-qPCR
Curso de Genómica - UAT (VHIR) 2012 - RT-qPCRCurso de Genómica - UAT (VHIR) 2012 - RT-qPCR
Curso de Genómica - UAT (VHIR) 2012 - RT-qPCR
 
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de expression génica
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de expression génicaCurso de Genómica - UAT (VHIR) 2012 - Análisis de datos de expression génica
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de expression génica
 
Curso de Genómica - UAT (VHIR) 2012 - Microarrays
Curso de Genómica - UAT (VHIR) 2012 - MicroarraysCurso de Genómica - UAT (VHIR) 2012 - Microarrays
Curso de Genómica - UAT (VHIR) 2012 - Microarrays
 
Curso de Genómica - UAT (VHIR) 2012 - Arrays de Proteínas Zeptosens
 Curso de Genómica - UAT (VHIR) 2012 - Arrays de Proteínas Zeptosens Curso de Genómica - UAT (VHIR) 2012 - Arrays de Proteínas Zeptosens
Curso de Genómica - UAT (VHIR) 2012 - Arrays de Proteínas Zeptosens
 
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de NGS
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de NGSCurso de Genómica - UAT (VHIR) 2012 - Análisis de datos de NGS
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de NGS
 
Curso de Genómica - UAT (VHIR) 2012 - Tecnologías de Ultrasecuenciación y de ...
Curso de Genómica - UAT (VHIR) 2012 - Tecnologías de Ultrasecuenciación y de ...Curso de Genómica - UAT (VHIR) 2012 - Tecnologías de Ultrasecuenciación y de ...
Curso de Genómica - UAT (VHIR) 2012 - Tecnologías de Ultrasecuenciación y de ...
 

Recently uploaded

Sharlene Leurig - Enabling Onsite Water Use with Net Zero Water
Sharlene Leurig - Enabling Onsite Water Use with Net Zero WaterSharlene Leurig - Enabling Onsite Water Use with Net Zero Water
Sharlene Leurig - Enabling Onsite Water Use with Net Zero Water
Texas Alliance of Groundwater Districts
 
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...
AbdullaAlAsif1
 
The debris of the ‘last major merger’ is dynamically young
The debris of the ‘last major merger’ is dynamically youngThe debris of the ‘last major merger’ is dynamically young
The debris of the ‘last major merger’ is dynamically young
Sérgio Sacani
 
Thornton ESPP slides UK WW Network 4_6_24.pdf
Thornton ESPP slides UK WW Network 4_6_24.pdfThornton ESPP slides UK WW Network 4_6_24.pdf
Thornton ESPP slides UK WW Network 4_6_24.pdf
European Sustainable Phosphorus Platform
 
The binding of cosmological structures by massless topological defects
The binding of cosmological structures by massless topological defectsThe binding of cosmological structures by massless topological defects
The binding of cosmological structures by massless topological defects
Sérgio Sacani
 
原版制作(carleton毕业证书)卡尔顿大学毕业证硕士文凭原版一模一样
原版制作(carleton毕业证书)卡尔顿大学毕业证硕士文凭原版一模一样原版制作(carleton毕业证书)卡尔顿大学毕业证硕士文凭原版一模一样
原版制作(carleton毕业证书)卡尔顿大学毕业证硕士文凭原版一模一样
yqqaatn0
 
BREEDING METHODS FOR DISEASE RESISTANCE.pptx
BREEDING METHODS FOR DISEASE RESISTANCE.pptxBREEDING METHODS FOR DISEASE RESISTANCE.pptx
BREEDING METHODS FOR DISEASE RESISTANCE.pptx
RASHMI M G
 
ANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptx
ANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptxANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptx
ANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptx
RASHMI M G
 
Phenomics assisted breeding in crop improvement
Phenomics assisted breeding in crop improvementPhenomics assisted breeding in crop improvement
Phenomics assisted breeding in crop improvement
IshaGoswami9
 
8.Isolation of pure cultures and preservation of cultures.pdf
8.Isolation of pure cultures and preservation of cultures.pdf8.Isolation of pure cultures and preservation of cultures.pdf
8.Isolation of pure cultures and preservation of cultures.pdf
by6843629
 
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốtmô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
HongcNguyn6
 
20240520 Planning a Circuit Simulator in JavaScript.pptx
20240520 Planning a Circuit Simulator in JavaScript.pptx20240520 Planning a Circuit Simulator in JavaScript.pptx
20240520 Planning a Circuit Simulator in JavaScript.pptx
Sharon Liu
 
aziz sancar nobel prize winner: from mardin to nobel
aziz sancar nobel prize winner: from mardin to nobelaziz sancar nobel prize winner: from mardin to nobel
aziz sancar nobel prize winner: from mardin to nobel
İsa Badur
 
bordetella pertussis.................................ppt
bordetella pertussis.................................pptbordetella pertussis.................................ppt
bordetella pertussis.................................ppt
kejapriya1
 
Equivariant neural networks and representation theory
Equivariant neural networks and representation theoryEquivariant neural networks and representation theory
Equivariant neural networks and representation theory
Daniel Tubbenhauer
 
Deep Software Variability and Frictionless Reproducibility
Deep Software Variability and Frictionless ReproducibilityDeep Software Variability and Frictionless Reproducibility
Deep Software Variability and Frictionless Reproducibility
University of Rennes, INSA Rennes, Inria/IRISA, CNRS
 
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
University of Maribor
 
如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样
如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样
如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样
yqqaatn0
 
Cytokines and their role in immune regulation.pptx
Cytokines and their role in immune regulation.pptxCytokines and their role in immune regulation.pptx
Cytokines and their role in immune regulation.pptx
Hitesh Sikarwar
 
Shallowest Oil Discovery of Turkiye.pptx
Shallowest Oil Discovery of Turkiye.pptxShallowest Oil Discovery of Turkiye.pptx
Shallowest Oil Discovery of Turkiye.pptx
Gokturk Mehmet Dilci
 

Recently uploaded (20)

Sharlene Leurig - Enabling Onsite Water Use with Net Zero Water
Sharlene Leurig - Enabling Onsite Water Use with Net Zero WaterSharlene Leurig - Enabling Onsite Water Use with Net Zero Water
Sharlene Leurig - Enabling Onsite Water Use with Net Zero Water
 
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...
 
The debris of the ‘last major merger’ is dynamically young
The debris of the ‘last major merger’ is dynamically youngThe debris of the ‘last major merger’ is dynamically young
The debris of the ‘last major merger’ is dynamically young
 
Thornton ESPP slides UK WW Network 4_6_24.pdf
Thornton ESPP slides UK WW Network 4_6_24.pdfThornton ESPP slides UK WW Network 4_6_24.pdf
Thornton ESPP slides UK WW Network 4_6_24.pdf
 
The binding of cosmological structures by massless topological defects
The binding of cosmological structures by massless topological defectsThe binding of cosmological structures by massless topological defects
The binding of cosmological structures by massless topological defects
 
原版制作(carleton毕业证书)卡尔顿大学毕业证硕士文凭原版一模一样
原版制作(carleton毕业证书)卡尔顿大学毕业证硕士文凭原版一模一样原版制作(carleton毕业证书)卡尔顿大学毕业证硕士文凭原版一模一样
原版制作(carleton毕业证书)卡尔顿大学毕业证硕士文凭原版一模一样
 
BREEDING METHODS FOR DISEASE RESISTANCE.pptx
BREEDING METHODS FOR DISEASE RESISTANCE.pptxBREEDING METHODS FOR DISEASE RESISTANCE.pptx
BREEDING METHODS FOR DISEASE RESISTANCE.pptx
 
ANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptx
ANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptxANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptx
ANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptx
 
Phenomics assisted breeding in crop improvement
Phenomics assisted breeding in crop improvementPhenomics assisted breeding in crop improvement
Phenomics assisted breeding in crop improvement
 
8.Isolation of pure cultures and preservation of cultures.pdf
8.Isolation of pure cultures and preservation of cultures.pdf8.Isolation of pure cultures and preservation of cultures.pdf
8.Isolation of pure cultures and preservation of cultures.pdf
 
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốtmô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
 
20240520 Planning a Circuit Simulator in JavaScript.pptx
20240520 Planning a Circuit Simulator in JavaScript.pptx20240520 Planning a Circuit Simulator in JavaScript.pptx
20240520 Planning a Circuit Simulator in JavaScript.pptx
 
aziz sancar nobel prize winner: from mardin to nobel
aziz sancar nobel prize winner: from mardin to nobelaziz sancar nobel prize winner: from mardin to nobel
aziz sancar nobel prize winner: from mardin to nobel
 
bordetella pertussis.................................ppt
bordetella pertussis.................................pptbordetella pertussis.................................ppt
bordetella pertussis.................................ppt
 
Equivariant neural networks and representation theory
Equivariant neural networks and representation theoryEquivariant neural networks and representation theory
Equivariant neural networks and representation theory
 
Deep Software Variability and Frictionless Reproducibility
Deep Software Variability and Frictionless ReproducibilityDeep Software Variability and Frictionless Reproducibility
Deep Software Variability and Frictionless Reproducibility
 
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
 
如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样
如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样
如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样
 
Cytokines and their role in immune regulation.pptx
Cytokines and their role in immune regulation.pptxCytokines and their role in immune regulation.pptx
Cytokines and their role in immune regulation.pptx
 
Shallowest Oil Discovery of Turkiye.pptx
Shallowest Oil Discovery of Turkiye.pptxShallowest Oil Discovery of Turkiye.pptx
Shallowest Oil Discovery of Turkiye.pptx
 

Introduction to Functional Analysis with IPA (UEB-UAT Bioinformatics Course - Session 4.2 - VHIR, Barcelona)

  • 1. Hospital Universitari Vall d’Hebron Institut de Recerca - VHIR Institut d’Investigació Sanitària de l’Instituto de Salud Carlos III (ISCIII) Bioinformàtica per la Recerca Biomèdica http://ueb.vhir.org/2014BRB Ferran Briansó ferran.brianso@vhir.org 22/05/2014 INTRODUCTION TO FUNCTIONAL ANALYSIS
  • 2. 1. WORKFLOW ANALYSIS EXAMPLE 2. GENE (OR WHATEVER) LIST(S) 3. FROM LISTS TO BIOLOGY 4. BENEFITS (AND DRAWBACKS) 5. BASIC EXAMPLE 6. FUNCTIONAL ANALYSIS TOOLS 7. INGENUITY PATHWAY ANALYSIS ● The Ingenuity Vision ● IPA Knowledge Base ● IPA Definitions ● Tips & Hints for Expression Analyses 1 2 3 5 6 PRESENTATION OUTLINE 4 7
  • 4. GENE (OR WHATEVER) LIST(s)2 4 2
  • 5. 5 FROM LISTS TO BIOLOGY3 ● Classical approach for gene list analysis: one by one – Literature, databases, ... ● Problem: – Slow and tedious task, and what is worst... – Ignores possible interactions ● Alternative approach: functional analysis (aka biological significance)
  • 6. 6 BENEFITS (AND DRAWBACKS)4 ✔ Authomatic methods for ✔ Identification of biological processes associated with experimental results. ✔ Determination/Comparison of common functions in selected groups of genes. ✔ Analisys of connections between genes, molecules and/or diseases through literature mining, in order to find relevant associations according with experimental data. ✔ Make auxiliary information more accessible ✔ Contribute to the understanding of the underlying biological phenomena ✗ Require more sofisticated software & hardware ✗ Depend on the degree of curation of the data sources
  • 7. BASIC EXAMPLE: from genes to functions 7 5
  • 8. BASIC EXAMPLE: from functions to pathways 8 5
  • 9. BASIC EXAMPLE: pathways with fold change 9 5
  • 10. FUNCTIONAL ANALYSIS TOOLS 10 6 ● Several tools deployed in the last 15 years http://estbioinfo.stat.ub.es/resources/index.html ● Direct study of gene lists – Based on GO or other BD (KEGG...)  ● fatiGO, DAVID, GSEA, Babelomics ... [SerbGO] ● Ingenuity Pathways Analysis ● Mining relationships from literature – PubMed, Scopus, HighWire, GOPubMed, … – Ingenuity Pathways Analysis ● Analysis of pathways inferred from the lists – Pathway Explorer, MappFinder, GenMapp ... – Ingenuity Pathway Analysis
  • 16. Tips & Hints for Expression Analyses 16 7