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DAVID functional analysis with clusterProfiler

2017-06-13 Y叔 biobabble

was used to visualize  results in a paper published in .

Some users told me that they may want to use DAVID at some circumstances. I think it maybe a good idea to make clusterProfiler supports DAVID, so that  users can use visualization functions provided by .

require(DOSE) require(clusterProfiler) data(geneList) gene = names(geneList)[abs(geneList) > 2] david = enrichDAVID(gene = gene, idType="ENTREZ_GENE_ID", listType="Gene", annotation="KEGG_PATHWAY") > summary(david)               ID            Description GeneRatio  BgRatio       pvalue hsa04110 hsa04110             Cell cycle     11/68 125/5085 4.254437e-06 hsa04114 hsa04114         Oocyte meiosis     10/68 110/5085 1.119764e-05 hsa03320 hsa03320 PPAR signaling pathway      7/68  69/5085 2.606715e-04             p.adjust qvalue                                             geneID hsa04110 0.0003998379     NA 9133/4174/890/991/1111/891/7272/8318/4085/983/9232 hsa04114 0.0005261534     NA    9133/5241/51806/3708/991/891/4085/983/9232/6790 hsa03320 0.0081354974     NA                 4312/2167/5346/5105/3158/9370/9415         Count hsa04110    11 hsa04114    10 hsa03320     7

There are only 5085 human genes annotated by KEGG, this is due to out-of-date DAVID data.

barplot(david)

cnetplot(david, foldChange=geneList)

With enrichDAVID, compare DAVID functional profiles among different gene clusters is also supported.

data(gcSample) x=compareCluster(gcSample, fun="enrichDAVID", annotation="KEGG_PATHWAY") plot(x)

As I pointed out in , there are many webservers using out of date data. This may leads to different interpretation of biological results. DAVID’s data is also out of date. DAVID stopped updating database since 2010. This is why I love Bioconductor, almost all the annotation packages are maintained by Bioconductor core team and will be updated biannual. enrichGO and enrichKEGG is more reliable with more updated data than many other tools.

Citation

Yu G, Wang L, Han Y and He Q*. . OMICS: A Journal of Integrative Biology. 2012, 16(5):284-287.


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