Cell type annotation for single-cell RNA-seq using multi-LLM consensus
SGS, is a user-friendly, collaborative and versatile browser for visualizing single-cell and spatial multiomics data.
A course on genomics and bioinformatics from WashU
Seismic R package. Discover cell type-trait associations in minutes for GWAS and single-cell RNA-sequencing data
Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Genome Biology
2017_2018 single cell RNA sequencing Workshop UCD_UCB_UCSF
Single cell interactive plotting tools
Ecotypes of Triple-Negative Breast Cancer in Response to Chemotherapy
A re-analysis of the [Single-cell transcriptomic analysis of Alzheimer’s disease](https://www.nature.com/articles/s41586-019-1195-2) using a standardised data processing and pseudobulk differential expression approach
Epi-Impute: single-cell RNA-seq imputation via integration with single-cell ATAC-seq data
RNA-seq, smRNA-seq, scRNA-seq & ATAC-seq workflows for @cornell-TREX
A reference matrix atlas of all single cell RNA-seq data on NCBI GEO for mice and humans
repository for codes to generate figures for ALTRA manuscript
So you want to do a: Single Cell RNA-seq experiment
An effective tool for single-cell RNA sequencing.
R functions for parsing cell hashing data
Reproducible single-cell RNA-seq analysis of glioblastoma-associated myeloid cells from GEO dataset GSE131928 using R and Seurat. Includes clustering, UMAP visualization, marker identification, KDM6B expression analysis and figure reproduction from a published study.
Atlas-scale single-cell RNA-seq analysis in Python with a Rust core. Plans memory before reading; runs in memory or out of core.
Gotta keep the brain empty to learn more. This is my easily digestible backup.
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