Awesome Single CellCommunity-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
Stars: ✭ 1,937 (+6148.39%)
scABCNo description or website provided.
Stars: ✭ 16 (-48.39%)
mgatkmgatk: mitochondrial genome analysis toolkit
Stars: ✭ 65 (+109.68%)
scATAC-proA comprehensive tool for processing, analyzing and visulizing single cell chromatin accessibility sequencing data
Stars: ✭ 63 (+103.23%)
bapBead-based single-cell atac processing
Stars: ✭ 20 (-35.48%)
TOBIASTranscription factor Occupancy prediction By Investigation of ATAC-seq Signal
Stars: ✭ 128 (+312.9%)
CUT-RUNTools-2.0CUT&RUN and CUT&Tag data processing and analysis
Stars: ✭ 36 (+16.13%)
rvtestsRare variant test software for next generation sequencing data
Stars: ✭ 114 (+267.74%)
ExpressionMatrix2Software for exploration of gene expression data from single-cell RNA sequencing.
Stars: ✭ 29 (-6.45%)
haystack bioHaystack: Epigenetic Variability and Transcription Factor Motifs Analysis Pipeline
Stars: ✭ 42 (+35.48%)
GenAMapVisual Machine Learning of Genome-Phenome Associations
Stars: ✭ 22 (-29.03%)
cardelinoClone identification from single-cell data
Stars: ✭ 49 (+58.06%)
trVAEConditional out-of-distribution prediction
Stars: ✭ 47 (+51.61%)
lme4qtlMixed models @lme4 + custom covariances + parameter constraints
Stars: ✭ 39 (+25.81%)
NGSNext-Gen Sequencing tools from the Horvath Lab
Stars: ✭ 30 (-3.23%)
kallistobustoolskallisto | bustools workflow for pre-processing single-cell RNA-seq data
Stars: ✭ 79 (+154.84%)
SCopeFast visualization tool for large-scale and high dimensional single-cell data
Stars: ✭ 62 (+100%)
sintoTools for single-cell data processing
Stars: ✭ 74 (+138.71%)
HMMRATACHMMRATAC peak caller for ATAC-seq data
Stars: ✭ 86 (+177.42%)
cnaCovarying neighborhood analysis (CNA) is a method for finding structure in- and conducting association analysis with multi-sample single-cell datasets.
Stars: ✭ 35 (+12.9%)
echolocatoRAutomated statistical and functional fine-mapping pipeline with extensive API access to datasets.
Stars: ✭ 13 (-58.06%)
dolphinnextA graphical user interface for distributed data processing of high throughput genomics
Stars: ✭ 92 (+196.77%)
SumStatsRehabGWAS summary statistics files QC tool
Stars: ✭ 19 (-38.71%)
vcf2gwasPython API for comprehensive GWAS analysis using GEMMA
Stars: ✭ 27 (-12.9%)
VoxHuntVoxHunt: Resolving human brain organoid heterogeneity through single-cell genomic comparison to spatial brain maps
Stars: ✭ 27 (-12.9%)
anndata2riConvert between AnnData and SingleCellExperiment
Stars: ✭ 79 (+154.84%)
adjclustAdjacency-constrained hierarchical clustering of a similarity matrix
Stars: ✭ 15 (-51.61%)
deepsignalDetecting methylation using signal-level features from Nanopore sequencing reads
Stars: ✭ 90 (+190.32%)
SCOPE-toolsSingle-Cell Omics Preparation Entity Tools
Stars: ✭ 14 (-54.84%)
CITE-seq-CountA tool that allows to get UMI counts from a single cell protein assay
Stars: ✭ 62 (+100%)
celltypistA tool for semi-automatic cell type annotation
Stars: ✭ 92 (+196.77%)
SCICoNESingle-cell copy number calling and event history reconstruction.
Stars: ✭ 20 (-35.48%)
atacrAnalysing Capture Seq Count Data
Stars: ✭ 14 (-54.84%)
dyngenSimulating single-cell data using gene regulatory networks 📠
Stars: ✭ 59 (+90.32%)
cellrangerRkitNon-official Git repository for R package cellrangerRkit (currently not available elsewhere; I'm not affiliated with 10x)
Stars: ✭ 18 (-41.94%)
scAlignA deep learning-based tool for alignment and integration of single cell genomic data across multiple datasets, species, conditions, batches
Stars: ✭ 32 (+3.23%)
cellsnp-liteEfficient genotyping bi-allelic SNPs on single cells
Stars: ✭ 47 (+51.61%)
PECAPECA is a software for inferring context specific gene regulatory network from paired gene expression and chromatin accessibility data
Stars: ✭ 31 (+0%)
chromVARchromatin Variability Across Regions (of the genome!)
Stars: ✭ 116 (+274.19%)
ALPSAnaLysis routines for ePigenomicS data - 🏫 Bioconductor project
Stars: ✭ 13 (-58.06%)
CrossTalkeRR package to do the Ligand Receptor Analysis Visualization
Stars: ✭ 33 (+6.45%)
GGR-cwlCWL tools and workflows for GGR
Stars: ✭ 20 (-35.48%)
snpsea📊 Identify cell types and pathways affected by genetic risk loci.
Stars: ✭ 26 (-16.13%)
qmplotA Python package for creating high-quality manhattan and Q-Q plots from GWAS results.
Stars: ✭ 25 (-19.35%)
MAGMA CelltypingFind causal cell-types underlying complex trait genetics
Stars: ✭ 41 (+32.26%)
SCopeLoomRR package (compatible with SCope) to create generic .loom files and extend them with other data e.g.: SCENIC regulons, Seurat clusters and markers, ...
Stars: ✭ 25 (-19.35%)
imputationserverMichigan Imputation Server: A new web-based service for imputation that facilitates access to new reference panels and greatly improves user experience and productivity
Stars: ✭ 41 (+32.26%)
qtcatQuantitative Trait Cluster Association Test in R
Stars: ✭ 25 (-19.35%)
S-PCGCHeritability, genetic correlation and functional enrichment estimation for case-control studies
Stars: ✭ 13 (-58.06%)
immunarch🧬 Immunarch by ImmunoMind: R Package for Fast and Painless Exploration of Single-cell and Bulk T-cell/Antibody Immune Repertoires
Stars: ✭ 204 (+558.06%)
scMCAMouse cell atlas
Stars: ✭ 45 (+45.16%)
faster lmm dA faster lmm for GWAS. Supports GPU backend.
Stars: ✭ 12 (-61.29%)
FarmCPUppPerform GWAS using the FarmCPU model.
Stars: ✭ 16 (-48.39%)
GLUEGraph-linked unified embedding for single-cell multi-omics data integration
Stars: ✭ 180 (+480.65%)
kanaSingle cell analysis in the browser
Stars: ✭ 81 (+161.29%)
BPRMethModelling DNA methylation profiles
Stars: ✭ 18 (-41.94%)
ATAC-seqBasic workflow for ATAC-seq analysis
Stars: ✭ 30 (-3.23%)
scCATCHAutomatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
Stars: ✭ 137 (+341.94%)
GCModellerGCModeller: genomics CAD(Computer Assistant Design) Modeller system in .NET language
Stars: ✭ 25 (-19.35%)
NebulosaR package to visualize gene expression data based on weighted kernel density estimation
Stars: ✭ 50 (+61.29%)