Getting GO annotation for your dataset

64
Getting GO annotation for your dataset Fiona McCarthy, Shane Burgess, Susan Bridges The AgBase Databases, Institute of Digital Biology, Mississippi State University

description

Getting GO annotation for your dataset. Fiona McCarthy, Shane Burgess, Susan Bridges The AgBase Databases, Institute of Digital Biology, Mississippi State University. Getting GO:. Primary sources of GO: from the GO Consortium (GOC) & GOC members most up to date most comprehensive - PowerPoint PPT Presentation

Transcript of Getting GO annotation for your dataset

Page 1: Getting GO annotation for your dataset

Getting GO annotation for your dataset

Fiona McCarthy, Shane Burgess, Susan BridgesThe AgBase Databases, Institute of Digital Biology, Mississippi State University

Page 2: Getting GO annotation for your dataset

Getting GO:1. Primary sources of GO: from the GO Consortium

(GOC) & GOC members most up to date most comprehensive

2. Secondary sources: other resources that use GO provided by GOC members

public databases (eg. NCBI, UniProtKB) genome browsers (eg. Ensembl) array vendors (eg. Affymetrix) GO expression analysis tools

Page 3: Getting GO annotation for your dataset

GO Browsers

Page 4: Getting GO annotation for your dataset

1.1 GO Browsers QuickGO Browser (EBI GOA Project)

http://www.ebi.ac.uk/ego/can search by GO Term or by UniProt ID includes IEA annotationsbeta version in testing: will expand functionality

AmiGO Browser (GO Consortium Project)http://amigo.geneontology.org/cgi-bin/amigo/go.c

gican search by GO Term or by UniProt IDdoes not include IEA annotations

Page 5: Getting GO annotation for your dataset

A. GO Browser demonstration

AIM: To demonstrate the QuickGO & AmiGO browsers and how they can be used to find GO, find GO terms

Page 6: Getting GO annotation for your dataset

The QuickGO Browser (EBI-GOA)

Page 7: Getting GO annotation for your dataset

This site is under development - feedback is being requested to make this resource useful to you.Coming soon: download GO annotations for your dataset.

http://www.ebi.ac.uk/ego/

Page 8: Getting GO annotation for your dataset

1. Searching by Protein

Multiple protein IDs can be separated by a space or a comma.

Page 9: Getting GO annotation for your dataset
Page 10: Getting GO annotation for your dataset
Page 11: Getting GO annotation for your dataset

Click on “Home” to start a new search.

Page 12: Getting GO annotation for your dataset

Search for a GO Term

Page 13: Getting GO annotation for your dataset
Page 14: Getting GO annotation for your dataset
Page 15: Getting GO annotation for your dataset
Page 16: Getting GO annotation for your dataset

Filtering Results

Displays all annotations to the search term and its child terms

Page 17: Getting GO annotation for your dataset

Filtering Results

use to filter results use to filter results

Page 18: Getting GO annotation for your dataset

Filter by database.

Page 19: Getting GO annotation for your dataset

Filter by GO Terms

Page 20: Getting GO annotation for your dataset

Filter by GO evidence code.

Page 21: Getting GO annotation for your dataset

Filter by taxon.

Page 22: Getting GO annotation for your dataset

Click on “Home” to start a new search.

Page 23: Getting GO annotation for your dataset

The AmiGO Browserhttp://amigo.geneontology.org/cgi-bin/amigo/go.cgi

Page 24: Getting GO annotation for your dataset

1. Searching by Gene Product

Note: does not search for multiple IDs

Page 25: Getting GO annotation for your dataset
Page 26: Getting GO annotation for your dataset

Information about the gene product.

Page 27: Getting GO annotation for your dataset

Links to GO annotations.

Page 28: Getting GO annotation for your dataset

Download gene GO annotations.

Page 29: Getting GO annotation for your dataset

2. Searching by GO Term

Page 30: Getting GO annotation for your dataset

Results can be filtered by ontology.

Page 31: Getting GO annotation for your dataset

Find term details by clicking on the term name.

Page 32: Getting GO annotation for your dataset

See how the term fits in the ontology by selecting Term Lineage.

Page 33: Getting GO annotation for your dataset
Page 34: Getting GO annotation for your dataset
Page 35: Getting GO annotation for your dataset

Select ‘gene product associations’ to display the GO annotations for your search results.

Page 36: Getting GO annotation for your dataset

3. Filtering Results

Annotations can be filtered using drop down windows & selecting “set filters”.

Page 37: Getting GO annotation for your dataset
Page 38: Getting GO annotation for your dataset

Filtered results can be selected & downloaded as a gene association file.

Page 39: Getting GO annotation for your dataset

Downloading ga files

Page 40: Getting GO annotation for your dataset

1.2 Gene Association files The gene association (ga) file is used by GO

groups to link GO function to gene products tab-delimited file (smaller files can be viewed by opening in Excel) 15 columns (‘fields’) GO Annotation File Format Guide explains data in each column:

http://www.geneontology.org/GO.format.annotation.shtml

Page 41: Getting GO annotation for your dataset

Gene Association files The gene association (ga) file is used by GO

groups to link function (GO) to gene products tab-delimited file (smaller files can be viewed by opening in Excel) 15 columns (‘fields’) GO Annotation File Format Guide explains data in each column:http://www.geneontology.org/GO.format.annotation.shtml

Page 42: Getting GO annotation for your dataset

http://www.geneontology.org/GO.current.annotations.shtml

Page 43: Getting GO annotation for your dataset

http://www.ebi.ac.uk/GOA/downloads.html

Page 44: Getting GO annotation for your dataset

GOC: submitted to GO Consortium via EBI-GOACommunity: includes annotations not yet submitted, not supported (have QC)

Page 45: Getting GO annotation for your dataset

B. Gene Association file Demonstration

AIM: To show how to download gene association files.

Page 46: Getting GO annotation for your dataset

http://www.agbase.msstate.edu/

Select “Downloads & Statistics link.

Page 47: Getting GO annotation for your dataset

Click on “Download” link and choose “Save to disk” option.

Page 48: Getting GO annotation for your dataset

Find file on desktop.

Page 49: Getting GO annotation for your dataset

Unzip using Winzip.

Page 50: Getting GO annotation for your dataset

Open extracted file in Excel.

Page 51: Getting GO annotation for your dataset

WARNING: some files are too large to open in Excel.

Page 52: Getting GO annotation for your dataset

2. Secondary sources of GO annotation

Page 53: Getting GO annotation for your dataset

EXAMPLES: public databases (eg. NCBI, UniProtKB) genome browsers (eg. Ensembl) array vendors (eg. Affymetrix)

CONSIDERATIONS: What is the original source? When was it last updated? Are evidence codes displayed?

Secondary Sources of GO annotation

Page 54: Getting GO annotation for your dataset

C. Obtaining GO annotations from Secondary Sources

AIM: Look at how different public resources and tools display GO.

Page 55: Getting GO annotation for your dataset

GO annotation obtained for chick GAPDH (P00356) from different sources:

QuickGO (primary source) UniProtKB database NCBI Entrez Gene page Ensembl browser Affymetrix chick array g:profiler gene expression analysis tool

Page 56: Getting GO annotation for your dataset

QuickGO

Page 57: Getting GO annotation for your dataset

1.

Page 58: Getting GO annotation for your dataset

2.

Page 59: Getting GO annotation for your dataset
Page 60: Getting GO annotation for your dataset
Page 61: Getting GO annotation for your dataset
Page 62: Getting GO annotation for your dataset
Page 63: Getting GO annotation for your dataset
Page 64: Getting GO annotation for your dataset

Comparison of Chicken GAPDH GO annotation obtained from different sources.

GO evidence codes not reported.