1. Why do I need KGGSum?

    Response: It is fast and convenient, and it has many functions and resources for one-stop large-scale GWAS summary data mining.

  2. How do I cite KGGSum?

    Response: KGGSum is a platform. The publication of the specific method(s) you use should be cited to allow readers to understand the principles of your analyses.

  3. Where do I report bugs and feedback on KGGSum?

    Response: You can send an email to limx54@163.com for this.

  4. How can we use a generative AI to help me use KGGSum?

    You can upload the PDF version of the user manual to the AI and then ask questions. e.g. "Please generate commands for me to do gene-based analyses by KGGSum with my GWAS summary input file (path=abc.tsv.gz), reference genome = hg19".

Copyright ©MiaoXin Li all right reservedLast modified time: 2025-03-03 05:45:00

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