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Network & Systems Modeling 29 June 2009 NCSU GO Workshop.

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Presentation on theme: "Network & Systems Modeling 29 June 2009 NCSU GO Workshop."— Presentation transcript:

1 Network & Systems Modeling 29 June 2009 NCSU GO Workshop

2 GO Enrichment: the structure of the GO allows its to be queried in a hierarchical manner.  use the GO DAG Structure to cluster differentially expressed gene sets  determine which GO terms are statistically over- represented in the set Systems biology: study of complex interactions in biological systems  integrates data from multiple experimental types  develop networks describing interactions within the system GO Enrichment & Systems Biology

3 http://www.geneontology.org/

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6 GO Enrichment Analysis DAVID: http://david.abcc.ncifcrf.gov/http://david.abcc.ncifcrf.gov/ GOStat: http://gostat.wehi.edu.au/http://gostat.wehi.edu.au/ EasyGO: http://bioinformatics.cau.edu.cn/easygo/http://bioinformatics.cau.edu.cn/easygo/ AmiGO http://amigo.geneontology.org/cgi- bin/amigo/term_enrichment (does not use IEA)http://amigo.geneontology.org/cgi- bin/amigo/term_enrichment Onto-Express & OE2GO http://vortex.cs.wayne.edu/projects.htm http://vortex.cs.wayne.edu/projects.htm GOEAST http://omicslab.genetics.ac.cn/GOEAST http://www.geneontology.org/GO.tools.shtml Comparison of enrichment analysis tools : Nucleic Acids Research, 2009, Vol. 37, No. 1 1–13 (Tool_Comparison_09.pdf)

7 Database for Annotation, Visualization and Integrated Discovery

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11 Species represented in Onto-Express For uploading your own annotations use OE2GO

12 Comparison Onto-Express, EasyGO, GOstat and DAVID Test set: 60 randomly selected chicken genes Used AgBase GO annotations as baseline annotations Vandenberg et al (BMC Bioinformatics, in review)

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14 Systems Biology Models interactions of components in the system (dynamic). Nanduri B. and McCarthy F.M. (2007). "AgBase - a tool for systems biology in agricultural species." CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources, 2(078):13-26.

15 Systems Biology Workflow Nanduri & McCarthy CAB reviews, 2008

16 Pathways & Networks A network is a collection of interactions Pathways are a subset of networks Network of interacting proteins that carry out biological functions such as metabolism and signal transduction All pathways are networks of interactions NOT ALL NETWORKS ARE PATHWAYS

17 Biological Networks Networks often represented as graphs Nodes represent proteins or genes that code for proteins Edges represent the functional links between nodes (ex regulation) Small changes in graph’s topology/architecture can result in the emergence of novel properties

18 Nature 411, 2001, H. Jeong, et al Yeast Protein-Protein Interaction Map

19 Types of interactions protein (enzyme) – metabolite (ligand) metabolic pathways protein – protein cell signaling pathways, protein complexes protein – gene genetic networks

20 PLoS Computational Biology March 2007, Volume 3 e42 Database/URL/FTP DIP http://dip.doe-mbi.ucla.eduhttp://dip.doe-mbi.ucla.edu BIND http://bind.cahttp://bind.ca MPact/MIPS http://mips.gsf.de/services/ppihttp://mips.gsf.de/services/ppi STRING http://string.embl.dehttp://string.embl.de MINT http://mint.bio.uniroma2.it/minthttp://mint.bio.uniroma2.it/mint IntAct http://www.ebi.ac.uk/intacthttp://www.ebi.ac.uk/intact BioGRID http://www.thebiogrid.orghttp://www.thebiogrid.org HPRD http://www.hprd.orghttp://www.hprd.org ProtCom http://www.ces.clemson.edu/compbio/ProtComhttp://www.ces.clemson.edu/compbio/ProtCom 3did, Interprets http://gatealoy.pcb.ub.es/3did/http://gatealoy.pcb.ub.es/3did/ Pibase, Modbase http://alto.compbio.ucsf.edu/pibasehttp://alto.compbio.ucsf.edu/pibase CBM ftp://ftp.ncbi.nlm.nih.gov/pub/cbmftp://ftp.ncbi.nlm.nih.gov/pub/cbm SCOPPI http://www.scoppi.org/http://www.scoppi.org/ iPfam http://www.sanger.ac.uk/Software/Pfam/iPfam InterDom http://interdom.lit.org.sghttp://interdom.lit.org.sg DIMA http://mips.gsf.de/genre/proj/dima/index.htmlhttp://mips.gsf.de/genre/proj/dima/index.html Prolinks http://prolinks.doe-mbi.ucla.edu/cgibin/functionator/pronav/ Predictomehttp://predictome.bu.edu/

21 KEGG http://www.genome.jp/kegg/pathway.html/ BioCyc http://www.biocyc.org/ Reactome http://www.reactome.org/ GenMAPP http://www.genmapp.org/ BioCarta http://www.biocarta.com/ Pathguide – the pathway resource list http://www.pathguide.org/ Some resources

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23 I have interactions what next? Evaluate the quality of interactions i.e. type of method used for identification….what exactly are these methods? Visualize these interactions as a network and analyze.


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