cisTopic

epigenomics analysis tool

An R package for identifying cell states and cis-regulatory topics from single-cell epigenomics data

cisTopic: Probabilistic modelling of cis-regulatory topics from single cell epigenomics data

GitHub

135 stars
13 watching
29 forks
Language: HTML
last commit: over 2 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
colomemaria/episcanpyA toolkit for analyzing single-cell epigenomics data from open chromatin and DNA methylation experiments.141
aertslab/scenicA tool for inferring Gene Regulatory Networks and cell types from single-cell RNA-seq data422
kharchenkolab/numbatAnalyzes single-cell RNA-seq data to detect allele-specific copy number variations and infer lineage relationships in cancer cells171
aertslab/scopeA tool for fast visualization of large-scale single-cell data68
dmcable/spacexrSoftware package for cell type identification and differential expression in spatial transcriptomics322
ucarlab/iasvaAnalyzes correlated hidden factors from single-cell transcriptomes to identify biological variation8
zjufanlab/sccatchAutomated tool for annotating cell types from single-cell RNA sequencing data based on marker genes219
pachterlab/cwgflhgcchap_2021Analyzing multiplexed single-cell RNA-seq data from a marine organism, providing tools for preprocessing, clustering, and analysis of gene expression across different cell types.2
aertslab/scenicplusBuilds gene regulatory networks from single-cell gene expression and chromatin accessibility data191
eskelandlab/shinyarchruioAn R-based web application for visualizing massive single-cell chromatin accessibility data using ArchR18
euxhenh/cellarAn interactive software tool for analyzing single-cell omics data32
dtm2451/dittoseqA suite of functions for analyzing and visualizing RNA sequencing data191
epurdom/clusterexperimentA package providing tools for comparing and analyzing clusterings of single-cell sequencing data37
eiriniar/cellcnnA Python-based software framework for analyzing mass/flow cytometry data to identify phenotype-associated cell subsets.65
cbg-ethz/neticsTools for integrating multi-omics data to prioritize cancer genes15