More posts like this
-
RNA-seq, STAR count, GSEA
written by Rob •
-
Guilty By Association method for lncRNAs
written by marina.wakid •
-
converting probes robes to gene IDs
written by bioinformatics •
-
How to integrate multi omics data in cytoscape
written by PK •
-
How to find the secreted protein tags
written by koushikayaluri •
-
How to find differential gene expressions
written by Raz •
-
RNAseq deconvolution to immune cells
written by zizigolu
-
How to find differentially expressed genes between three groups?
written by John
-
Pheatmap question, how to draw a heatmap with pheatmap when you have 200 DEG to show on the heatmap?
written by soheilazareie •
-
about dispersion_plot and dispersion_plotLocal in DEseq2 analysis
written by Emily •
Is your organism annotated? In that case, see for example this and this response.
Short answer: unless the function of the genes is already known, you can't learn this from RNAseq.
Wouldn't it be possible to screen for export signals in the translated peptide sequences? Certainly not the most promising approach (which is why I would use annotations where available), but a viable alternative - or am I missing something here?
Sure, but my point was really that that's a waste of RNAseq when you could just do that from a genome annotation as you mention.
I think a better approach would be to use this for pathway enrichment and interrogate which pathways are associated with secretion?
Hi, I am trying to use this approach with my list of DE genes with GO annotations. How can I verify which pathways are associated with secretion? Do you have any suggestions? thank you
You should find certain GO terms that are reasonably obvious, but otherwise you can feed the data to tools like STRING which will give you some idea of whether secretion features as a significant component of the dataset.
Though the real answer here is: time to hit the literature. Find the genes that are most different/prominent, and look at what people have found out about them.