If my samples don't have a spike-in, is the CHIP-seq data still going to be reliable?

Modified on Fri, 25 Sep, 2020 at 2:59 PM

One of the main purposes of a spike-in is so you can compare global changes in CHIP-seq signal. However, a large amount of researchers who work with ChIP-seq samples don't use a spike-in. If you don't have a spike-in, there are many other metrics you can use to measure the reliability of your ChIP-seq samples such as the alignment rate, the duplication rate, the FRIP score and so forth.

Was this article helpful?

That’s Great!

Thank you for your feedback

Sorry! We couldn't be helpful

Thank you for your feedback

Let us know how can we improve this article!

Select at least one of the reasons
CAPTCHA verification is required.

Feedback sent

We appreciate your effort and will try to fix the article