9/10/06 go users meeting 2006 seattle, washington the agbase go annotation tools susan bridges 1,3,...

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9/10/06 GO Users Meeting 2006 Seattle, Washington The AgBase GO Annotation Tools Susan Bridges 1,3 , Fiona McCarthy 2,3 , Nan Wang 1,3 , G. Bryce Magee 1,3 , Bindu Nanduri 2,3 , Shane Burgess 2,3 1 Department of Computer Science & Engineering 2 College of Veterinary Medicine 3 Institute for Digital Biology

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Page 1: 9/10/06 GO Users Meeting 2006 Seattle, Washington The AgBase GO Annotation Tools Susan Bridges 1,3, Fiona McCarthy 2,3, Nan Wang 1,3, G. Bryce Magee 1,3,

9/10/06GO Users Meeting 2006

Seattle, Washington

The AgBase GO Annotation Tools

Susan Bridges1,3, Fiona McCarthy2,3, Nan Wang1,3, G. Bryce Magee1,3, Bindu Nanduri2,3, Shane Burgess2,3

1Department of Computer Science & Engineering2College of Veterinary Medicine3Institute for Digital Biology

Page 2: 9/10/06 GO Users Meeting 2006 Seattle, Washington The AgBase GO Annotation Tools Susan Bridges 1,3, Fiona McCarthy 2,3, Nan Wang 1,3, G. Bryce Magee 1,3,

9/10/06GO Users Meeting 2006

Seattle, Washington

AgBase (www.agbase.msstate.edu)

• Gene Ontology annotations of gene products from agricultural species

• A suite of tools for functional analysis of proteomics and gene expression datasets

Page 3: 9/10/06 GO Users Meeting 2006 Seattle, Washington The AgBase GO Annotation Tools Susan Bridges 1,3, Fiona McCarthy 2,3, Nan Wang 1,3, G. Bryce Magee 1,3,

AgBase.msstate.edu

Page 4: 9/10/06 GO Users Meeting 2006 Seattle, Washington The AgBase GO Annotation Tools Susan Bridges 1,3, Fiona McCarthy 2,3, Nan Wang 1,3, G. Bryce Magee 1,3,
Page 5: 9/10/06 GO Users Meeting 2006 Seattle, Washington The AgBase GO Annotation Tools Susan Bridges 1,3, Fiona McCarthy 2,3, Nan Wang 1,3, G. Bryce Magee 1,3,
Page 6: 9/10/06 GO Users Meeting 2006 Seattle, Washington The AgBase GO Annotation Tools Susan Bridges 1,3, Fiona McCarthy 2,3, Nan Wang 1,3, G. Bryce Magee 1,3,

9/10/06GO Users Meeting 2006

Seattle, Washington

AgBase Tools

• Provides an integrated set of tools that enable scientists conducting research with agricultural species to analyze and model their data using GO

• Tailored to the needs of users within the community.

Page 7: 9/10/06 GO Users Meeting 2006 Seattle, Washington The AgBase GO Annotation Tools Susan Bridges 1,3, Fiona McCarthy 2,3, Nan Wang 1,3, G. Bryce Magee 1,3,

9/10/06GO Users Meeting 2006

Seattle, Washington

The AgBase Tools

Page 8: 9/10/06 GO Users Meeting 2006 Seattle, Washington The AgBase GO Annotation Tools Susan Bridges 1,3, Fiona McCarthy 2,3, Nan Wang 1,3, G. Bryce Magee 1,3,

GOProfiler

Page 9: 9/10/06 GO Users Meeting 2006 Seattle, Washington The AgBase GO Annotation Tools Susan Bridges 1,3, Fiona McCarthy 2,3, Nan Wang 1,3, G. Bryce Magee 1,3,

9/10/06GO Users Meeting 2006

Seattle, Washington

Unannotated Proteins

Page 10: 9/10/06 GO Users Meeting 2006 Seattle, Washington The AgBase GO Annotation Tools Susan Bridges 1,3, Fiona McCarthy 2,3, Nan Wang 1,3, G. Bryce Magee 1,3,

9/10/06GO Users Meeting 2006

Seattle, Washington

Comparison of Levels of Annotation

Rice Maize

Tomato

Page 11: 9/10/06 GO Users Meeting 2006 Seattle, Washington The AgBase GO Annotation Tools Susan Bridges 1,3, Fiona McCarthy 2,3, Nan Wang 1,3, G. Bryce Magee 1,3,

9/10/06GO Users Meeting 2006

Seattle, Washington

Protein Annotation Process

Protein identifiers or Fasta format

GORetriever

Annotated Proteins

GOanna

Proteins with no annotations

GOSlimViewer

Page 12: 9/10/06 GO Users Meeting 2006 Seattle, Washington The AgBase GO Annotation Tools Susan Bridges 1,3, Fiona McCarthy 2,3, Nan Wang 1,3, G. Bryce Magee 1,3,
Page 13: 9/10/06 GO Users Meeting 2006 Seattle, Washington The AgBase GO Annotation Tools Susan Bridges 1,3, Fiona McCarthy 2,3, Nan Wang 1,3, G. Bryce Magee 1,3,

9/10/06GO Users Meeting 2006

Seattle, Washington

GOanna

Page 14: 9/10/06 GO Users Meeting 2006 Seattle, Washington The AgBase GO Annotation Tools Susan Bridges 1,3, Fiona McCarthy 2,3, Nan Wang 1,3, G. Bryce Magee 1,3,

9/10/06GO Users Meeting 2006

Seattle, Washington

GOAnna Results

Page 15: 9/10/06 GO Users Meeting 2006 Seattle, Washington The AgBase GO Annotation Tools Susan Bridges 1,3, Fiona McCarthy 2,3, Nan Wang 1,3, G. Bryce Magee 1,3,

9/10/06GO Users Meeting 2006

Seattle, Washington

GOSlimViewer

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Va35

Mp313E

GO ID list Selected GO Slim

GOSlimViewer

Text File Summary Plot Program

Page 16: 9/10/06 GO Users Meeting 2006 Seattle, Washington The AgBase GO Annotation Tools Susan Bridges 1,3, Fiona McCarthy 2,3, Nan Wang 1,3, G. Bryce Magee 1,3,
Page 17: 9/10/06 GO Users Meeting 2006 Seattle, Washington The AgBase GO Annotation Tools Susan Bridges 1,3, Fiona McCarthy 2,3, Nan Wang 1,3, G. Bryce Magee 1,3,

9/10/06GO Users Meeting 2006

Seattle, Washington

Gene Expression Annotation Process

Fasta sequence file

Annotated Sequences +Alignments

GOanna

GOSlimViewerManual Inspection of Alignments

Selected Annotated Sequences

Modeling of Results

Page 18: 9/10/06 GO Users Meeting 2006 Seattle, Washington The AgBase GO Annotation Tools Susan Bridges 1,3, Fiona McCarthy 2,3, Nan Wang 1,3, G. Bryce Magee 1,3,

9/10/06GO Users Meeting 2006

Seattle, Washington

GOanna for EST sequences

Page 19: 9/10/06 GO Users Meeting 2006 Seattle, Washington The AgBase GO Annotation Tools Susan Bridges 1,3, Fiona McCarthy 2,3, Nan Wang 1,3, G. Bryce Magee 1,3,

9/10/06GO Users Meeting 2006

Seattle, Washington

Maize Case Study (Rowena Kelley MSU)

• University of Arizona gene array

• Comparison of gene expression of two inbred maize germlines– Aspergillus flavus resistant– Aspergillus flavus susceptible

• Innoculated/uninnoculated ears

Page 20: 9/10/06 GO Users Meeting 2006 Seattle, Washington The AgBase GO Annotation Tools Susan Bridges 1,3, Fiona McCarthy 2,3, Nan Wang 1,3, G. Bryce Magee 1,3,

9/10/06GO Users Meeting 2006

Seattle, Washington

GO Annotation of Up-Regulated Genes

• Total of 256 up-regulated genes were used as input for GOanna

• Parent sequences annotated– 51% of MP313E sequences annotated– 52% of VA35 sequences annotated

• Source of annotation– Maize 18%– Rice 30%– Arabidopsis 34%– Other plants 18%

Page 21: 9/10/06 GO Users Meeting 2006 Seattle, Washington The AgBase GO Annotation Tools Susan Bridges 1,3, Fiona McCarthy 2,3, Nan Wang 1,3, G. Bryce Magee 1,3,

9/10/06GO Users Meeting 2006

Seattle, Washington

FUTURE DIRECTIONS

• Improved integration of of tools

• Add pairwise alignment of translated sequences

• Easy construction of custom GOSlims

• GOModeler tool for systems biology view of data

Page 22: 9/10/06 GO Users Meeting 2006 Seattle, Washington The AgBase GO Annotation Tools Susan Bridges 1,3, Fiona McCarthy 2,3, Nan Wang 1,3, G. Bryce Magee 1,3,

9/10/06GO Users Meeting 2006

Seattle, Washington

AgBase Team

Funding•Internal: MAFES, CVM, CSE, Office of Research•External: NIH, NSF, USDA

Bryce Magee Nan Wang Susan Bridges Shane Burgess Fiona McCarthy