Data access
MetabolomicsWorkbenchAPI.jl
Retrieve and organize public metabolomics studies.
Repository →Open-source Julia software
BigRiver
A collection of Julia packages for high-dimensional biomedical data analysis.
About
Focused tools for structured data.
BigRiver groups Julia packages for data access, dimension reduction, matrix modeling, QTL analysis, and visualization.
Each package can be used on its own or combined with the others in a reproducible workflow.
Packages
The BigRiver ecosystem
Dimension reduction
BigRiverEssence.jl
Apply dimension-reduction methods to large data matrices.
Repository →Statistical modeling
MatrixLM.jl
Fit matrix linear models for structured, high-throughput data.
Repository →QTL analysis
FlxQTL.jl
Analyze quantitative traits with multivariate linear mixed models.
Repository →Visualization
BigRiverPlots.jl
Create statistical graphics with lightweight plotting recipes.
Repository →Data preprocessing
BigRiverJunbi.jl
Preprocess omics data through imputation, normalization, and transformation.
Repository →QTL analysis
BigRiverQTL.jl
Support QTL preprocessing, genome scans, and visualization workflows.
Repository →Statistical modeling
BulkLMM.jl
Run linear mixed-model genome scans across many traits.
Repository →Data storage
Helium.jl
Read and write a fast, flexible format for tabular numerical data.
Repository →Data access
GeneNetworkAPI.jl
Access GeneNetwork data through its REST API from Julia.
Repository →Visualization
BigRiverMakie.jl
Provide Makie plotting recipes for BigRiver metabolomics workflows.
Repository →Visualization
BigRiverQTLPlots.jl
Create statistical plots for QTL and eQTL analyses.
Repository →QTL analysis
LiteQTL.jl
Perform lightweight, near real-time eQTL genome scans.
Repository →Organization
Other repositories
Browse related methods, examples, and supporting software.
All repositories →Applications
Example research areas
Complex traits
Study genotype–phenotype relationships with mixed-model and QTL methods.
Metabolomics
Model associations between sample characteristics and molecular features.
Genetics screens
Analyze structured effects across high-throughput experimental conditions.