Create Manhattan Plots for Genomics Studies with Bioconductor in R | GWAS

In this video, we'll walk you through the process of creating a Manhattan plot for your genomics studies using a Bioconductor package in R. We'll start from a simple spreadsheet and guide you to visualize your data effectively.
*What You'll Learn:*
*Introduction to Manhattan Plots:* Understand the key features of a Manhattan plot, including the x-axis (genomic position) and the y-axis (log-transformed p-values).
*Using CompuFlair's Pipeline Search Engine:* Learn how to find and select the best-matching pipeline for your data visualization needs.
*Step-by-Step Pipeline Execution:* Follow a detailed tutorial with human-written and pre-assessed codes.
*Data Visualization:* Learn how to generate a Manhattan plot and label significant points using your data.
*Understanding the Function and Its Arguments:* Use the AI assistant to dive into the main function used to create the plot and explore its arguments for further customization.
*Key Features:*
- *Compu Flair’s AI Assistant:* Leverage AI to streamline your workflow and obtain precise, step-by-step instructions.
- *User-Friendly Explanation:* Get a clear explanation of the Manhattan plot and the required data structure.
- *Reliable References:* Validate the AI-generated instructions by cross-referencing with the original pipeline documentation.
Whether you're a beginner or an experienced researcher, this video will equip you with the knowledge and tools to create Manhattan plots efficiently. Watch now and enhance your genomics data visualization skills!
CompuFlair Pipeline Search Engine & AI Assistant:
www.compu-flair.com