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yQTL Pipeline: a structured computational workflow for large scale quantitative trait loci discovery and downstream

Mengze Li1,2, Zeyuan Song3, Anastasia Gurinovich4,5

  • 1Bioinformatics Program, Faculty of Computing & Data Sciences, Boston University, Boston, MA, USA.

Biorxiv : the Preprint Server for Biology
|February 19, 2024
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Summary

The yQTL Pipeline automates quantitative trait loci (QTL) discovery for complex traits. This tool streamlines analysis, reduces run time, and aids in visualizing metabolite-QTL associations, accelerating genetic research.

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Area of Science:

  • Genetics
  • Bioinformatics
  • Computational Biology

Background:

  • Quantitative trait loci (QTL) analysis links DNA variation to quantitative traits, crucial for understanding genotype-phenotype relationships.
  • Manual QTL discovery is complex, labor-intensive, and prone to errors, hindering large-scale genetic studies.
  • Automating QTL analysis is essential for efficient and reproducible genetic research.

Conclusions:

  • The yQTL Pipeline effectively automates and accelerates QTL discovery, facilitating the analysis of complex genetic traits.
  • Integrated visualization tools, such as the R Shiny App, enhance the interpretation of mQTL findings and shared associations.
  • The pipeline is publicly available on GitHub, promoting wider adoption in genetic research.