Single Cell Genomics Python Packages

tiledbsoma

Python and R SOMA APIs using TileDB’s cloud-native format. Ideal for single-cell data at any scale.

scvi-tools

Deep probabilistic analysis of single-cell and spatial omics data

crested

CREsted is a Python package for training sequence-based deep learning models on scATAC-seq data, for capturing enhancer code and for designing cell type-specific sequences.

squidpy

Spatial Single Cell Analysis in Python

cellrank

CellRank: dynamics from multi-view single-cell data

palantir

Single cell trajectory detection

snapatac2

Single-cell epigenomics analysis tools

scarches

Reference mapping for single-cell genomics

scgen

Single cell perturbation prediction

scvi

Deep probabilistic analysis of single-cell and spatial omics data

scxpand

Pan-cancer detection of T-cell clonal expansion from single-cell RNA sequencing

scarf

Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.

scxpand-cuda

Pan-cancer detection of T-cell clonal expansion from single-cell RNA sequencing (CUDA-enabled)

sctour

A deep learning architecture for robust inference and accurate prediction of cellular dynamics

piaso-tools

PIASO: Precise Integrative Analysis of Single-cell Omics

scmalignantfinder

A tool for identitying malignant cells from single-cell RNA-seq data

awgan

Codes for paper: AWGAN: A Powerful Batch Effect Removal Model for scRNA-seq Data

celldancer

Predict RNA velocity through deep learning

pyspade

Single cell Perturbations - Analysis of Differential gene Expression

scnym

Semi-supervised adversarial neural networks for classification of single cell transcriptomics data

tiledbsc

Python API for efficient storage and retrieval of single-cell data using TileDB

single-cell-portal

Convenience scripts for Single Cell Portal

diffbio

End-to-end differentiable bioinformatics pipelines built on JAX/Flax NNX

scale-v2

Single-cell integrative Analysis via Latent feature Extraction