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An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
Created
2022-03-30
308 commits to main branch, last one about a year ago
Single-cell Transcriptome and Regulome Analysis Pipeline
Created
2019-07-16
614 commits to master branch, last one 3 years ago
muon is a multimodal omics Python framework
Created
2020-02-03
586 commits to main branch, last one about a month ago
STREAM: Single-cell Trajectories Reconstruction, Exploration And Mapping of single-cell data
Created
2018-04-12
471 commits to master branch, last one 3 years ago
scPerturb: A resource and a python/R tool for single-cell perturbation data
Created
2022-08-12
161 commits to master branch, last one 3 months ago
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.
Created
2020-05-07
1,024 commits to master branch, last one 4 days ago
SCAVENGE is a method to optimize the inference of functional and genetic associations to specific cells at single-cell resolution.
Created
2022-01-09
40 commits to main branch, last one about a year ago
Finding surprising needles (=genes) in haystacks (=single cell transcriptome data).
Created
2019-02-13
446 commits to master branch, last one 11 months ago
Accurate and fast cell marker gene identification with COSG
Created
2021-06-15
18 commits to main branch, last one about a year ago
An R package performing object conversion from ArchRProject (ArchR) to Signac SeuratObject (Signac)
Created
2022-03-24
80 commits to main branch, last one 4 months ago
A Julia package for single cell and spatial data analysis
Created
2022-12-26
1,005 commits to main branch, last one 3 months ago
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.
Created
2024-06-12
742 commits to main branch, last one 2 days ago