How to do peak correlation in m6A
How to do peak correlation in m6A?Have Cancer and normal sample,but I have no idear to Make relevant with that。
• 1,717 views
•
link
written
by
siqizhao2018 •
0 answers
No answers yet.
Log in to answer this question.
More posts like this
-
how to get genomic location of transcript positions
written by baibhu1234 •
-
Batch correction between cancer only data and normal only data
written by Eren •
-
Methylation analysis if no normal control
written by 9521ljh •
-
Matched Normal Tissue Sample of RNAseq data from TCGA
written by rajesh
-
Remove poly-T from m6A RNA-seq using Smarter
written by siqizhao2018 •
-
How to using input modification Input GC bias in 5hmC sequencing data?
written by siqizhao2018 •
-
Finding mutations from bam files
written by Gene_MMP8
-
Interpretation of DE gene and mutation in normal/cancer sample
written by bharata1803
-
Finding microarray data for gastric in different conditions (comparison purpose)
written by Zara •
-
Correlation Matrix Considering Sample'S Class
written by TitoPullo
Hi, do you have raw counts of every peak? The DESeq2 workflow may help you to correlate Cancer and normal sample(In section 4.3 Sample distances, http://master.bioconductor.org/packages/release/workflows/vignettes/rnaseqGene/inst/doc/rnaseqGene.html). Besides, you can also try to use corrplot package in R, but you may have to normlize your count data, and use log2(count+1) to tranform the data.
Hope this will help you. Aifu.
thank you! Yeah,In count I know how to do that,but I want to find some information in peak thinking~