TASC
single-cell analyzer
A toolkit for analyzing single-cell RNA sequencing data using computational methods and algorithms
Toolkit for Analysis of Single Cell data
2 stars
1 watching
3 forks
Language: C
last commit: almost 8 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
cellgeni/scrna.seq.course | An educational resource teaching computational analysis of single-cell RNA-seq data using R and Bioconductor tools | 125 |
nasqar/seuratv3wizard | An R-based web application for guided single-cell RNA-seq data analysis and clustering | 33 |
lingfeiwang/normalisr | A software framework for analyzing single-cell RNA sequencing data | 18 |
nasqar/seuratwizard | A web-based interactive application for guided single-cell RNA-seq data analysis and clustering using Seurat. | 13 |
catavallejos/basics | An integrated Bayesian hierarchical model to analyze single-cell sequencing data | 84 |
nbisweden/excelerate-scrnaseq | An open-source R package providing tools and methods for analyzing single cell RNA-seq data | 217 |
nbisweden/workshop-scrnaseq | An educational resource offering interactive R, Python, and Seurat labs for analyzing single-cell RNA sequencing data. | 199 |
zji90/scate | A statistical framework for analyzing single-cell ATAC-seq data to reconstruct cis-regulatory elements' activities | 9 |
rabadanlab/sctda | An object-oriented Python library for analyzing single-cell RNA-seq data using topological representations | 7 |
hemberg-lab/scrna.seq.course | An open-source teaching package for the computational analysis of single-cell RNA-seq data using R. | 673 |
snakemake-workflows/single-cell-rna-seq | A workflow generator for single-cell RNA-seq data analysis | 100 |
hms-dbmi/scde | Provides statistical methods for analyzing single-cell RNA-seq data, focusing on error modeling and differential expression analysis. | 173 |
scverse/scvi-tools | Probabilistic analysis tools for single-cell omics data | 1,270 |
kstreet13/bioc2020trajectories | Analyzing and comparing single-cell RNA-seq data across multiple conditions to infer cell trajectories and detect differential expression. | 25 |
sccaf/sccaf | Automated method for identifying putative cell types from single-cell RNA-seq data using clustering and machine learning | 94 |