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Analyzing Chip-seq data on genome graph #22
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Pinging @cgroza who did this work. |
Hi, Please see |
Thank you so much! I have two follow-up questions:
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Hi,
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Thanks! I will try it. One more question:
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I recall making an attempt then giving up.
I did not try since then.
The real solution would be to write a peak caller that generalized to cyclic graphs.
Cristian Groza
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…On Monday, October 2nd, 2023 at 4:25 PM, yihangs ***@***.***> wrote:
Thanks! I will try it. One more question.
- It seems that vg mod --unfold can also help convert graphs to DAG, Have you tried that? If so, did you meet any issues?
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Hi, I am reproducing the results according to https://github.com/cgroza/personalized_genomes_gbio/issues/1 via the following steps:
However, an error occurs in the last step, with error messages: https://github.com/vgteam/vg/issues/4109. Did you meet this error? According to the error messages, I suspect that it is because Thank you! |
Yes I did. Try 10 kbp. |
Hi, I use 10kbp to filter the vcf file, The
Looks like it is still a memory issue. Did you do any special hyper-parameter settings on the index step? Thanks! |
You may have more luck with vg autoindex, which is a built in function that will take a VCF and construct and index a graph for you. |
Thanks! Which workflow do you use, giraffe or map? would giraffe index |
I used map. Giraffe should work too.
Cristian Groza
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On Friday, October 6th, 2023 at 11:02 AM, yihangs ***@***.***> wrote:
Thanks! Which workflow do you use, giraffe or map? would giraffe index .gbz more memory efficient?
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Hi, I tried autoindex but still get an error when constructing GCSA:
But then the program captures this error, does the pruning step and constructs the index again.
It runs slow, and haven't finish with three days. Did you also meet this situation? Or maybe you set some special hyper-parameters for Thanks! |
The Nature paper says that by using the software graph_peak_caller, we can do ChiP-Seq analysis on genome graphs. However, the original graph_peaker_caller paper says "Graph Peak Caller was developed by extending the methodologies and concepts from MACS2 to directed acyclic graphs (DAGs). The MACS2 algorithm can be divided into five steps... We have adopted each of these steps to work on DAGs", indicating that graph_peak_caller will only work on DAGs. Therefore, I have two questions:
Thanks!
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