BayesOmics#

Overview#

BayesOmics is a C++ software package for statistical genetics, developed to support integrative analysis of omics data with a focus on genetic architecture, complex trait heritability, and causal inference. In parallel, SBayesOmics is an R package designed to provide complementary functionality for users working in R environments, enabling seamless application of Bayesian modeling techniques to omics data.

Built with a modular and flexible design, BayesOmics implements a suite of Bayesian inference models to estimate genetic effect sizes, prioritize genes, and assess mediated heritability.

Key features:

  • Efficient implementation of Bayesian linear models for high-dimensional datasets

  • Support for the integrative analysis of GWAS summary statistics with molecular QTLs (e.g., eQTLs, sQTLs, and pQTLs)

  • Flexible input formats and seamless handling of large-scale genetic and omics datasets

  • An extensible architecture that enables future model development and customization

Progress#

  1. Mon 28th Apr 2025

    First release (v0.0.1)

Credits#

Shouye Liu developed the software with support from Jian Zeng, Zhili Zeng, Jian Yang, and Peter Visscher and currently maintains both the software and its manuals.

Questions and help Requests#

If you encounter any bugs or have questions, please either open an issue on GitHub or send an email to Shouye Liu (shouye.liu@uq.edu.au) and Jian Zeng (j.zeng@uq.edu.au).

We recommend using the GitHub Issues page for faster tracking and discussion.

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