The plos

[duhuipeng]

dear author
Could you provide the code and case file for drawing this picture?I also want to show my own results in this way

Best
HuipengDu

[mschatz]

The code is not organized in a way that it can be applied to alternate samples, but the general workflow is for the figure is: - align your ChIP seq reads and control reads to the genome - normalize the coverage tracks to account for differences in the total number of reads aligned (essentially compute RPM per 10kbp bin) - within each 10kbp bin, compute the ratio of the coverage of ChiPseq to control - normalize the results for each chromosome using a linear scale relative to the length of the p and q arms - plot the normalized coverage ratio as line plots in R Good luck! Mike

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On Tue, Feb 8, 2022 at 4:09 AM Tom ***@***.***> wrote: [image: image] <https://user-images.githubusercontent.com/58722433/152954015-9f2aa75f-65ae-48bf-9efe-c8a74e9ad815.png> dear author Could you provide the code and case file for drawing this picture?I also want to show my own results in this way Best HuipengDu — Reply to this email directly, view it on GitHub <#2>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AABP347QK7NKSUIQWW5B7GDU2DMT3ANCNFSM5NZ2J4GA> . Triage notifications on the go with GitHub Mobile for iOS <https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675> or Android <https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub>. You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>