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  • rozitaa
    Member
    • Jun 2013
    • 51

    #1

    Gene ontology enrichment analysis tool

    Hi All,

    I am working with microarray data. I have some genes of interest that I want to know the GO enriched terms. So far I have found them by GOstat. I also want to know if the representing GO is down/up regulated. Or at least which genes are involving in the representing GO then I can figure it out my self. Do you know any tools that provide me with this?

    Thanks
  • GenoMax
    Senior Member
    • Feb 2008
    • 7142

    #2
    Have you looked at DAVID: http://david.abcc.ncifcrf.gov/

    Also GenePattern: http://www.broadinstitute.org/cancer...esc/expression
    Last edited by GenoMax; 12-13-2013, 06:52 AM.

    Comment

    • rozitaa
      Member
      • Jun 2013
      • 51

      #3
      Yes I have seen david but that one only clusters genes and not Gene ontologies.

      Comment

      • bigmw
        Senior Member
        • Aug 2013
        • 124

        #4
        You may try GAGE if you know R. It works with both microarray and RNA-Seq data.
        Generally Applicable Gene-set Enrichment for Pathway Analysis

        Comment

        • evanharrell
          Junior Member
          • Dec 2013
          • 6

          #5
          I am trying to use gage to do a go term analysis on drosophila RNA-seq data.

          All of the vignettes tell very nicely how to find kegg pathway gene sets for different species to do the analysis with but is there a way to get simple go terms for drosophila? I have downloaded the flybase go terms (.fb file) and it seems to be in a very different format than the go.sets.hs and go.subs.hs sets in the vignettes. Is there an easy way to convert these go terms to the appropriate format?

          Comment

          • wetSEQer
            Member
            • Dec 2013
            • 15

            #6
            Originally posted by bigmw View Post
            You may try GAGE if you know R. It works with both microarray and RNA-Seq data.
            Generally Applicable Gene-set Enrichment for Pathway Analysis

            http://bioconductor.org/packages/rel...t/doc/gage.pdf
            What is the difference between Heatplus and GAGE? Do you know? I just began to search a tool to do my work and I saw your reply and wonder you might know which one is better.

            Comment

            • bigmw
              Senior Member
              • Aug 2013
              • 124

              #7
              Bioconductor has two annotation data packages: org.Dm.eg.db and GO.db. You may use these two packages to generate the GO gene sets for fly. In other words, you can extract GO term IDs from GO.db, and map the GO terms to Entrez Gene ID using org.Dm.eg.db. Hope this is clear enough.


              Originally posted by evanharrell View Post
              I am trying to use gage to do a go term analysis on drosophila RNA-seq data.

              All of the vignettes tell very nicely how to find kegg pathway gene sets for different species to do the analysis with but is there a way to get simple go terms for drosophila? I have downloaded the flybase go terms (.fb file) and it seems to be in a very different format than the go.sets.hs and go.subs.hs sets in the vignettes. Is there an easy way to convert these go terms to the appropriate format?

              Comment

              • bigmw
                Senior Member
                • Aug 2013
                • 124

                #8
                Gage is a tool for gene set, GO and pathway analysis, it provide functions to visualize the analysi results, like heatmap and scatterplot. Heatplus is a tool dedicated to heatmap plotting. They are not really the same type of tools.
                For more details on gage:
                Generally Applicable Gene-set Enrichment for Pathway Analysis


                Originally posted by wetSEQer View Post
                What is the difference between Heatplus and GAGE? Do you know? I just began to search a tool to do my work and I saw your reply and wonder you might know which one is better.

                Comment

                • ygc_hku
                  Junior Member
                  • Nov 2014
                  • 6

                  #9
                  You may interesting in using clusterProfiler package: http://www.bioconductor.org/packages...rProfiler.html

                  Comment

                  • rozitaa
                    Member
                    • Jun 2013
                    • 51

                    #10
                    Originally posted by ygc_hku View Post
                    You may interesting in using clusterProfiler package: http://www.bioconductor.org/packages...rProfiler.html
                    Thanks seems so interesting I will look into it.

                    Comment

                    • angel-sakura
                      Member
                      • Nov 2014
                      • 23

                      #11
                      Hi, I'm currently using clusterProfiler for GO enrichment analysis. It is a great tool but I have encountered a problem of inputing data. I read through the manual and find nothing about how to input my own data or what is the format of input data. Could you please shed light on it?
                      Thank you very much!
                      Y

                      Comment

                      • ygc_hku
                        Junior Member
                        • Nov 2014
                        • 6

                        #12
                        Originally posted by angel-sakura View Post
                        Hi, I'm currently using clusterProfiler for GO enrichment analysis. It is a great tool but I have encountered a problem of inputing data. I read through the manual and find nothing about how to input my own data or what is the format of input data. Could you please shed light on it?
                        Thank you very much!
                        Y
                        The input of enrichGO is a vector of entrez gene ID. The manual do explain this.

                        Comment

                        • angel-sakura
                          Member
                          • Nov 2014
                          • 23

                          #13
                          Sorry about my carelessness, I just focused on the scripts when I read the manual.
                          From the example data(geneList), geneList seems to contain two values, one is entrez Id, what about the other one? Is it P-value? If so, does P-value come from the cuffdiff DE results?

                          Thank you!

                          Comment

                          • ygc_hku
                            Junior Member
                            • Nov 2014
                            • 6

                            #14
                            Originally posted by angel-sakura View Post
                            Sorry about my carelessness, I just focused on the scripts when I read the manual.
                            From the example data(geneList), geneList seems to contain two values, one is entrez Id, what about the other one? Is it P-value? If so, does P-value come from the cuffdiff DE results?

                            Thank you!

                            The value is fold change, it can be p-value.

                            The values were used in gene set enrichment analysis for ranking the genes.

                            But for hypergeometric test, only entrez gene IDs are needed.

                            Comment

                            • angel-sakura
                              Member
                              • Nov 2014
                              • 23

                              #15
                              Originally posted by ygc_hku View Post
                              The value is fold change, it can be p-value.

                              The values were used in gene set enrichment analysis for ranking the genes.

                              But for hypergeometric test, only entrez gene IDs are needed.
                              Thank you ! Now I get it working.

                              Cheers

                              Comment

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