Question: Calculate enrichment values of Chip-seq peaks for hierarchical clustering
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gravatar for florian.noack
3.0 years ago by
Germany
florian.noack20 wrote:

Hi everyone, I have Chip-seq samples + input controls (triplicate) for three different cell types. I want to study the changes of the Chip-seq samples between the three different cell types. I called already peaks using MACS2 and generated a global peak file (if a genomic regions pops up in at least one of the three cell types its in this file). No I wondering how I can calculate for each sample (should I merge the replicates, they show a very high pearson correlation) a enrichment value which considers also the input control. Of course the enrichment value should be also normalized by the total readcount to be comparable between the different samples. I would like to feed this enrichment value into pheatmap for hierarchical clustering.

Thanks a lot.

Flo

chip-seq • 1.4k views
ADD COMMENTlink modified 3.0 years ago by igor8.9k • written 3.0 years ago by florian.noack20
0
gravatar for igor
3.0 years ago by
igor8.9k
United States
igor8.9k wrote:

You should look into DiffBind or csaw. There are a few tools for differential binding that will merge, quantify, and normalize peaks across multiple samples/groups.

ADD COMMENTlink written 3.0 years ago by igor8.9k
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