Collection of walkthrough tutorials on how to use Tweedieverse for differential analysis of omics data.
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Updated
Feb 26, 2022 - HTML
Collection of walkthrough tutorials on how to use Tweedieverse for differential analysis of omics data.
A collection of source codes for network-based multi-omics analysis using integrated genome-wide association studies (GWAS) and transcriptomic data to identify genetic contribution into lithium response in patients with bipolar disorder (BD).
The documented analysis of the results reported in Akol et al., 2023 as R markdowns, Galaxy histories and jupyter logs..
An R package designed to integrate and visualize various levels of epigenomic information, including but not limited to: ChIP, Histone, ATAC, and RNA sequencing. epiRomics is also designed to identify enhancer and enhanceosome regions from these data.
OmicsSuite website for releasing new version.
Integrated Machine Learning for Multi-omics Classification and Prediction
An open-source R package for the Tapestri platform for integrative single cell multiomics data analysis
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