biological networks - building and visualizing
TRANSCRIPT
August 22nd, 2013
Vijayaraj Nagarajan PhD Computational Biologist BCBB/OCICIB/NIAID, National Institutes of Health
Outline
§ Introduc)on to Biological Networks – Basic components of a network – Types of biological networks
§ Predic)ng/Building Biological Networks – Methods
• Logic and concept
§ Available Interac)on data – Integrated protein-‐protein interac)on databases – Searching for interac)on data
§ Network Visualiza)on and Analysis tools – Popular visualiza)on tools – Network analysis
§ Demonstra)on – Building, visualiza)on and analysis of the biological networks (Cytoscape)
Outline
§ Introduc)on to Biological Networks – Basic components of a network – Types of Biological networks
§ Predic)ng/Building Biological Networks – Methods
• Logic and concept
§ Available network data – Integrated interac)on databases – Searching for interac)on data
§ Network Visualiza)on and Analysis tools – Popular visualiza)on tools – Network analysis
§ Demonstra)on – Building, visualiza)on and analysis of the predicted network (Cytoscape)
Available Interac0on Network Data
§ MINT – Molecular Interac)on Database
§ BIND * – Biomolecular Interac)on Network Database
§ DIP – Database of Interac)ng Proteins
§ IntAct – InterAc)on Database at EBI
Integrated Data Sources
§ Pathway Commons § BioGRID § MiMI (Michigan Molecular Interac)ons) § STRING (Search Tool for Retrieval of Interac)ng Genes/Proteins) § Genes2Network § VisANT (Integra)ve Visual Analysis Tool) § GeneMANIA § BIOBASE § IPA (Ingenuity Pathway Analysis) § MetaCore
Open Source
Proprietary
IP3Rs
§ Inositol triphosphate receptor – ip3r1 – ip3r2 – ip3r3
• Calcium ion channels • ER
– s)m1 (stromal interac)on molecule 1) • PM • Calcium sensor protein
– orai1 (calcium release ac)vated calcium modulator) • PM • Accessory protein downstream of s)m1
Searching for Interac0on Data
STRING IPA
IPA
Outline
§ Introduc)on to Biological Networks – Basic components of a network – Types of Biological networks
§ Predic)ng/Building Biological Networks – Methods
• Logic and concept
§ Available network data – Integrated interac)on databases – Searching for interac)on data
§ Network Visualiza)on and Analysis tools – Popular visualiza)on tools – Network analysis
§ Demonstra)on – Building, visualiza)on and analysis of the predicted network (Cytoscape)
– Cytoscape – VisANT (Integra)ve Visual Analysis Tool) – Osprey – BioLayout
Popular Visualiza0on Tools
Analysis Tools
§ Phunkee (Pairing subgraphs Using Network Environment Equivalence – finds similar subnets)
§ mfinder (mo)f detec)on)
§ MAVisto (Mo)f Analysis and Visualiza)on tool – explora)on of mo)fs)
§ GraphMatch (Search for similar sub-‐nets)
§ NeAT (Network Analysis Tools – mo)f finding, node sta)s)cs)
§ Cfinder (Finds clusters – dense group of nodes) § NetworkBLAST (Compares mul)ple networks to infer complexes & paths)
Outline
§ Introduc)on to Biological Networks – Basic components of a network – Types of Biological networks
§ Predic)ng/Building Biological Networks – Methods
• Logic and concept
§ Available network data – Integrated interac)on databases – Searching for interac)on data
§ Network Visualiza)on and Analysis tools – Popular visualiza)on tools – Network analysis
§ Demonstra)on – Building, visualiza)on and analysis of the predicted network (Cytoscape)
PPI Predic0on Using Microarray Data
§ Co-‐expression concept – Correla)on Coefficient
• SIMoNE (Sta)s)cal Inference for Modular Networks) -‐ R – Mutual Informa)on
• Reference Networks • ARACNE (Algorithm for Reconstruc)on of Accurate Cellular Networks) – R, geWorkbench
• CLR (Context Likelihood of Relatedness) – R • MRNET (Maximum Relevance/Minimum Redundancy) – R • MONET (Modularized NETwork Learning) -‐ Cytoscape
– Bayesian Network
PPI Predic0on Using Microarray Data
§ Melanoma metastasis – 83 samples – Affymetrix – GEO – ARACNE – geWorkbench – IP3R1, IP3R2, IP3R3, STIM1, ORAI1
GML File
Predicted PPI Network
§ Could form a complex § Could be func)onally associated § Could be involved in a same metabolic pathway § Could be involved in a specific signal transduc)on path § False posi)ve
Visualiza0on and Analysis Using Cytoscape § Cytoscape
– Opensource – Works in Windows, Linux, Mac – One of the first developed tools – Great number of PLUGINS – Excellent help from community
Literature Based PPI Predic0on Using Cytoscape
Retrieving PPI Using Cytoscape
Data Visualiza0on, Integra0on, Analysis – Import ARACNE predicted network – Import VisANT retrieved network – Merge all networks – Mo)f finding
60
61
62
63
64
Thank You