Dear valued community members,
I am a novice biological science phd student started to delve into doing analysis independently. I came upon WGCNA
package and would like to apply it to my data. Now, I have read about it in the tutorials and it is explained in great details there from Steve Horvath. But I am looking for some other simpler resources or comments from you or some example code chunks that could help me to make a pipeline for making the analysis. I have some basic questions, like,
What type of normalised data are used as input? Can DESeq2 normalized counts can be used as inputs? Or any other, like CPM/TPM/FPKM/RPKM?
When to do WGCNA? Say, I have differential expression results. Now, do I do WGCNA with all the genes and find modules and check whether differentially expressed genes are overlapping with certain gene modules? Or I do WGCNA first and focus entirely on the gene modules related to my phenotype of interest, and do not care about the differential expressions?
Overall interpretation of the results coming from the analysis and further usage of it.
I would really appreciate if you can give me some suggestions while you were doing WGCNA analysis yourself. Or redirect me to some online resources that is much more concise and can be understood easily for a bench scientist.
Thanks a lot in advance!
Thank you very much, Arup!
See also this answer by me: A: The RNA-Seq data input for WGCNA in terms of gene co-expression network construc
Thank you very much, Kevin!
@Kevin: Also, I wish there was a separate webpage where one can find all your detailed bioconductor answers! They are soooo valuable for newbies like myself!
No repository or web-page - no. I can remember all answers that I have given, but not the URLs. I usually just search in a search engine, for example,
blighe
biostars
tcga
cnv
My footprint on Bioconductor is not as large as that on Biostars.
Sorry, I meant to say your Biostar answers! But thanks for the tip for searching your answers! I will do it like that in future!