An open-source R package for the Tapestri platform for integrative single cell multiomics data analysis
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Updated
Jul 9, 2024 - HTML
An open-source R package for the Tapestri platform for integrative single cell multiomics data analysis
Integrated Machine Learning for Multi-omics Classification and Prediction
OmicsSuite website for releasing new version.
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.
The documented analysis of the results reported in Akol et al., 2023 as R markdowns, Galaxy histories and jupyter logs..
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).
Collection of walkthrough tutorials on how to use Tweedieverse for differential analysis of omics data.
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