Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Represent the raw data for sparse points #20

Open
ifantasy opened this issue Jan 27, 2022 · 0 comments
Open

Represent the raw data for sparse points #20

ifantasy opened this issue Jan 27, 2022 · 0 comments

Comments

@ifantasy
Copy link

This function of Spark is meaning for representing the type of data, especially for regions with intensive or clustered points. However, this function can not show real distribution for our data. We have another type of methylation. It occurs sparsely for some region, so it is different from WGBS. See the example below:

image

The raw bedgraph data related to the eight points is listed as follows:
chr4 55527803 55527804 100
chr4 55527872 55527873 97.6374
chr4 55528238 55528239 88.1444
chr4 55530128 55530129 85.4848
chr4 55530492 55530493 93.8322
chr4 55530552 55530553 77.9618
chr4 55530798 55530799 88.2967
chr4 55532045 55532046 90.9048

You can see that the 1st and 2nd point have significantly distinct height, but 2nd and 7th points have similar height. Also think about the 8th point. So, I wonder if there is a way just to show the raw data?

My command is python $(which SparK.py) -pr chr4:55527304-55532546 -cf test.bedgraph -ps all -gtf gencode.vM25.annotation.gtf -o test

Originally posted by @ifantasy in #15 (comment)

@ifantasy ifantasy changed the title This function of Spark is meaning for representing the type of data, especially for regions with intensive or clustered points. However, this function can not show real distribution for our data. We have another type of methylation. It occurs sparsely for some region, so it is different from WGBS. See the example below: Represent the raw data for sparse points Jan 27, 2022
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant