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Statistical Genomics

Genome-wide Association Studies (GWAS) and Quantitative Trait Loci (QTL) analysis. An interactive tool that allows users to input genomic data, specify traits of interest, and perform statistical analysis to identify associations between genetic markers and traits.

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Conversions
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Welcome message

Features and Functions

  • Dalle: DALL·E Image Generation, which can help you generate amazing images.
  • Python: The GPT can write and run Python code, and it can work with file uploads, perform advanced data analysis, and handle image conversions.
  • Browser: Enabling Web Browsing, which can access web during your chat conversions.
  • Canvas: canvas
  • GPT Action API for Advanced GPT Builders > getChatAuth: Authenticate / verify the chat session. Must be called before message or reply generation. The only parameters needed are the current topic and the planned reply. This API will return a status and custom instructions.
  • File attachments: You can upload files to this GPT.

Conversion Starters

  • How can I perform GWAS using my SNP genotype and phenotype data?
  • Can you analyze my QTL data to find significant loci?
  • What are the significant SNPs at a p-value threshold of 0.01?
  • How do I interpret the results from GWAS or QTL analysis?
  • Can you help me perform a genome-wide association study on my dataset?
  • I have a genotype matrix and phenotype data, can you identify any associations?

Statistical Genomics showcase and sample chats

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