Deferentially expressed genes
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4.1 years ago

Hello, I am a new guy in the RNA seq study. I found 989 up regulated and 1009 down regulated genes from the NGS data after sorting out on the basis of FDR, FC and P value. But I don't know how can I do further downstream analysis like GO or pathway or any other (maybe I don't know). And also how can I represent my data in my article. I will be very happy if anybody gives me a full guideline. thank you.

next-gen • 1.1k views
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Did you read any other articles with RNAseq data already? They can give you an idea of how to present your data.

You don't tell very much about your own study (such as which organism, which tool you've used for differential analysis), so it's hard to suggest how to do downstream analysis.

I usually go for GO analysis with goseq and use gogadget if I have a lot of enriched GO terms. But there are 100s of other GO or pathway tools available.

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Very very thanks for your reply. i worked with melanoma in human. I got my differentially expressed genes by analyzing through CLC workbench Actually, i read some of the papers. But i did not get a clear idea what should i do with the GO terms or how can i find a melanoma triggering pathways. I got my GO terms by using panther. is there any reference recommended paper???

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CLC bio has a Blast2GO plug-in available, but you may need to purchase it. This plug-in should come with KO Pathway Analysis too. In the output for the GO and KO analyses each term has a P-value associated with it based on the gene enrichment. I have used/published the negative log of the p-value of the enrichment and displayed it using a heatmap, as my study was a timecourse experiment. If you have groups you can perhaps use a similar set-up.

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