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*A Statistical Toolbox for QTL Analysis*
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`BigRiverQTL.jl` is a user-friendly Julia package that supports
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efficient and interpretable quantitative trait locus (QTL)
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analysis. This comprehensive toolbox encompasses three core components
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tailored to streamline the entire QTL analysis workflow:
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preprocessing, genomic scanning, and result visualization.
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`BigRiverQTL.jl` is a package that makes it easier to perform
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quantitative trait locus (QTL) analysis in Julia. It consists of
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three components streamline the QTL analysis workflow:
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preprocessing, genome scans, and visualization.
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- **Preprocessing:** The preprocessing functions are designed to
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seamlessly import and convert genomic data into an efficient and
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memory-conservative format. This component also offers function
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capabilities for quickly calculating kinship matrices, ensuring data
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readiness for subsequent analysis phases.
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- **Genomic Scanning:** `BigRiverQTL.jl` provides advanced genomic
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scanning capabilities through `BulkLMM.jl` for swift single-trait
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scans, which surpass other methods in terms of computational
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speed. For analyses involving multiple traits, the package employs
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`FlxQTL.jl`, a cutting-edge approach that detects complex trait
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interrelations.
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- **Result Visualization:** The third component of `BigRiverQTL.jl`
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enriches the analytical experience by offering plotting tools
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designed to illustrate the outcomes of genomic scans. The plotting
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functions are useful for interpreting the results and aid in the
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derivation of meaningful conclusions
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- **Genome Scans:** We provide the capabilities to perform a large
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number of univariate genome scans using
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[`BulkLMM.jl`](https://github.com/senresearch/BulkLMM.jl). For
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analyses involving multiple traits, we provide an interface to
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[`FlxQTL.jl`](https://github.com/senresearch/FlxQTL.jl) to analyze
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longitudinal traits and complex trait correlations.
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- **Visualization:** The third component of the package offers
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plotting tools designed to visualize genome scans including eQTL
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scans using the
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[`BigRiverQTLPlots.jl`](https://github.com/senresearch/BigRiverQTLPlots.jl)
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package.
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## Installation
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