[Gramene] GO analysis of RNA-Seq data
Pankaj Jaiswal (OSU)
jaiswalp at science.oregonstate.edu
Mon Nov 5 12:49:04 EST 2012
Try the following URL and click on the table icon for results on the
left side column above 'DATASET'. The tool will allow you to filter
genes by MSU6/7 IDs as well.
http://www.gramene.org/biomart/martview/51792fa1e58261d266d47129a5d67cde/51792fa1e58261d266d47129a5d67cde/51792fa1e58261d266d47129a5d67cde?VIRTUALSCHEMANAME=default&ATTRIBUTES=osativa_eg_gene.default.feature_page.ensembl_gene_id|osativa_eg_gene.default.feature_page.go_accession|osativa_eg_gene.default.feature_page.go_name_1006|osativa_eg_gene.default.feature_page.go_namespace_1003&FILTERS=&VISIBLEPANEL=resultspanelhttp://www.gramene.org/biomart/martview/51792fa1e58261d266d47129a5d67cde/51792fa1e58261d266d47129a5d67cde/51792fa1e58261d266d47129a5d67cde?VIRTUALSCHEMANAME=default&ATTRIBUTES=osativa_eg_gene.default.feature_page.ensembl_gene_id|osativa_eg_gene.default.feature_page.go_accession|osativa_eg_gene.default.feature_page.go_name_1006|osativa_eg_gene.default.feature_page.go_namespace_1003&FILTERS=&VISIBLEPANEL=resultspanel
-Pankaj
On 11/5/2012 9:45 AM, Pankaj Jaiswal (OSU) wrote:
> Hi Ann,
>
> The beset way to get all the GO annotation sis by using the BioMart\
> http://www.gramene.org/biomart/martview
>
> Select 'plant genes' followed by 'oryza sativa genes MSU6' and follow
> the attributes section to get GO. Together with Plant-Ensembl, we run
> our own pipeline to get the detailed GO annotations on genes that is not
> limited to GO-slim.
>
> Let me know if it helps.
>
> Best
> Pankaj
>
>
> On 10/29/2012 10:50 AM, Loraine, Ann wrote:
>> Sorry to bother you!
>>
>> I didn't realize that MSU has already annotated the genes in MSU7 using
>> GOSlim terms, which I think will meet my needs:
>>
>> ftp://ftp.plantbiology.msu.edu/pub/data/Eukaryotic_Projects/o_sativa/annotation_dbs/pseudomolecules/version_7.0/all.dir/all.GOSlim_assignment
>>
>>
>> I got the file from them and am using it that one for now.
>>
>> Thank you and I hope all is well despite the hurricane.
>>
>> Best,
>>
>> Ann
>>
>> -------------------------------
>> Ann Loraine, Ph.D.
>> Associate Professor
>> Department of Bioinformatics and Genomics
>> University of North Carolina at Charlotte
>> North Carolina Research Campus
>> 600 Laureate Way
>> Kannapolis, NC 28081
>> 704-250-5750
>> aloraine at uncc.edu
>> http://www.transvar.org
>> http://www.bioviz.org
>> http://www.uncc.edu
>>
>>
>> From: Ann Loraine <aloraine at uncc.edu <mailto:aloraine at uncc.edu>>
>> Date: Sun, 28 Oct 2012 18:42:56 -0400
>> To: <gramene at gramene.org <mailto:gramene at gramene.org>>
>> Subject: GO analysis of RNA-Seq data
>>
>> Hello,
>>
>> I am using GOSeq (Bioconductor package) to analyze some RNA-Seq data
>> from rice.
>>
>> I'm writing to ask your advice on how to best use the rice GO
>> annotations Gramene has provided on the geneontology.org Web site.
>>
>> I have differential expression information for genes annotated as part
>> of the (latest) MSU7 gene annotations release.
>>
>> (I made it by aligning my reads against the assembly. I then counted
>> reads that overlapped the MSU7-annotated gene models.)
>>
>> However, it is not entirely clear how to map rice genome locus ids (such
>> as LOC_Os06g31210) onto the Gene Ontology category annotations listed in
>> the gene association file (gene_association.gramene_oryza.gz) available
>> from geneontology.org.
>>
>> I see that some of the lines contain ids such as LOC_Os06g31210, which
>> look like gene ids from the MSU annotations.
>>
>> My question is: can you explain how I should map MSU7 locus ids onto the
>> GO ids listed in the file?
>>
>> It looks like you were using the Uniprot id as the primary key. If I
>> could get a mapping between Uniprot id and MSU7 locus identifiers, that
>> would probably be enough.
>>
>> Could you let me know what the best way to do this would be?
>>
>> I can easily run blast, blat, or write a simple program to match fields
>> across files. For example, I could extract the genomic sequence for each
>> gene model and then use blastx to identify the best hit protein id from
>> SwissProt/UniProt. If the GO file is using the Uniprot id as the primary
>> key, then I could link locus ids to GO terms using the best hit from
>> Uniprot.
>>
>> Does this sound like it would work or would you recommend a more
>> straightforward path?
>>
>> Thank you so much for the Gramene resource and for providing the GO
>> annotations!
>>
>> Best wishes,
>>
>> Ann Loraine
>>
>> -------------------------------
>> Ann Loraine, Ph.D.
>> Associate Professor
>> Department of Bioinformatics and Genomics
>> University of North Carolina at Charlotte
>> North Carolina Research Campus
>> 600 Laureate Way
>> Kannapolis, NC 28081
>> 704-250-5750
>> aloraine at uncc.edu <mailto:aloraine at uncc.edu>
>> http://www.transvar.org
>> http://www.bioviz.org
>> http://www.uncc.edu
>>
>>
>>
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>>
>
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