CompBio, AI/ML's repositories
cellxgene_VIP
Enables cellxgene to generate violin, stacked violin, stacked bar, heatmap, volcano, embedding, dot, track, density, 2D density, sankey and dual-gene plot in high-resolution SVG/PNG format. It also performs differential gene expression analysis and provides a Command Line Interface (CLI) for advanced users to perform analysis using python and R.
Quickomics
Quickomics: exploring omics data in an intuitive, interactive and informative manner. Bioinformatics. 2021 Apr 26:btab255.
xOmicsShiny
xOmicsShiny: an R Shiny application for cross-omics data analysis and pathway mapping, Bioinformatics Advances, Volume 5, Issue 1, 2025, vbaf097.
scRNAsequest
scRNASequest: an ecosystem of scRNA-seq analysis, visualization and publishing. BMC Genomics 24, 228 (2023).
CompBioAgent
CompBioAgent: An LLM-powered agent for single-cell RNA-seq data exploration. https://doi.org/10.1101/2025.03.17.643771
bioInfograph
bioInfograph: an online tool to design and display multi-panel scientific figure interactively
awesome-single-cell
List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.
python-cheatsheet
Comprehensive Python Cheatsheet
SpliceHarmonization
Splice Result Harmonization from Multiple Methods
iSCALE
Scaling up spatial transcriptomics for large-sized tissues: uncovering cellular-level tissue architecture beyond conventional platforms
QuickRNASeq
QuickRNASeq lifts large-scale RNA-seq data analyses to the next level of automation and interactive visualization
rpy2
Interface to use R from Python
scRNA-seq_notes
A list of scRNA-seq analysis tools
TransgeneSeq
Benchmarking and optimization of a high-throughput sequencing based method for transgene sequence variant analysis in biotherapeutic cell line development
whitepapers
Deep Learning Best Practices