Cluster single cells and analyze cell clade relationships with colorful ...
mgatk: mitochondrial genome analysis toolkit
Cell-type Annotation for Single-cell Transcriptomics using Deep Learning...
scPerturb: A resource and a python/R tool for single-cell perturbation data
Systematically learn and evaluate manifolds from high-dimensional data
BASiCS: Bayesian Analysis of Single-Cell Sequencing Data. This is an uns...
A BLAST-like toolkit for large-scale scRNA-seq data querying and annotat...
R package that automatically classifies the cells in the scRNA data by s...
Deep learning for single-cell transcript counts
A repository for sharing information on available COVID-19 RNA-Seq datasets
A tool that allows to get UMI counts from a single cell protein assay
Semi-supervised adversarial neural networks for classification of single...
Finding surprising needles (=genes) in haystacks (=single cell transcrip...
Pileup biallelic SNPs from single-cell and bulk RNA-seq data
A set of tools supporting the development, execution, and benchmarking o...