immunarch🧬 Immunarch by ImmunoMind: R Package for Fast and Painless Exploration of Single-cell and Bulk T-cell/Antibody Immune Repertoires
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GCModellerGCModeller: genomics CAD(Computer Assistant Design) Modeller system in .NET language
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celltypistA tool for semi-automatic cell type annotation
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kallistobustoolskallisto | bustools workflow for pre-processing single-cell RNA-seq data
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SCopeLoomRR package (compatible with SCope) to create generic .loom files and extend them with other data e.g.: SCENIC regulons, Seurat clusters and markers, ...
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GLUEGraph-linked unified embedding for single-cell multi-omics data integration
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SCOPE-toolsSingle-Cell Omics Preparation Entity Tools
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CUT-RUNTools-2.0CUT&RUN and CUT&Tag data processing and analysis
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cellsnp-liteEfficient genotyping bi-allelic SNPs on single cells
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sintoTools for single-cell data processing
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anndata2riConvert between AnnData and SingleCellExperiment
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scMCAMouse cell atlas
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kanaSingle cell analysis in the browser
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NebulosaR package to visualize gene expression data based on weighted kernel density estimation
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trVAEConditional out-of-distribution prediction
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CITE-seq-CountA tool that allows to get UMI counts from a single cell protein assay
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SCICoNESingle-cell copy number calling and event history reconstruction.
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NGSNext-Gen Sequencing tools from the Horvath Lab
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dyngenSimulating single-cell data using gene regulatory networks 📠
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scAlignA deep learning-based tool for alignment and integration of single cell genomic data across multiple datasets, species, conditions, batches
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SCopeFast visualization tool for large-scale and high dimensional single-cell data
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scATAC-proA comprehensive tool for processing, analyzing and visulizing single cell chromatin accessibility sequencing data
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ExpressionMatrix2Software for exploration of gene expression data from single-cell RNA sequencing.
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CrossTalkeRR package to do the Ligand Receptor Analysis Visualization
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cardelinoClone identification from single-cell data
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Awesome Single CellCommunity-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
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scPowerExperimental design framework for scRNAseq population studies (eQTL and DE)
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velodynDynamical systems methods for RNA velocity analysis
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switchdeInference of switch-like differential expression along single-cell trajectories
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fastq utilsValidation and manipulation of FASTQ files, scRNA-seq barcode pre-processing and UMI quantification.
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netSmoothnetSmooth: A Network smoothing based method for Single Cell RNA-seq imputation
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babelDeep learning model for single-cell inference of multi-omic profiles from a single input modality.
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scarchesReference mapping for single-cell genomics
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cellSNPPileup biallelic SNPs from single-cell and bulk RNA-seq data
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dbMAPA fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big data intrinsic structure to your clustering and data visualization workflow.
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kmer-homology-paperManuscript for functional prediction of transcriptomic “dark matter” across species
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EWCEExpression Weighted Celltype Enrichment. See the package website for up-to-date instructions on usage.
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alevin-fry🐟 🔬🦀 alevin-fry is an efficient and flexible tool for processing single-cell sequencing data, currently focused on single-cell transcriptomics and feature barcoding.
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scABCNo description or website provided.
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EDS💡 💾 💽 A simple, intuitive and Efficient single cell binary Data Storage format
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SpiceMixspatial transcriptome, single cell
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MERINGUEcharacterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomics data with nonuniform cellular densities
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iDEADifferential expression (DE); gene set Enrichment Analysis (GSEA); single cell RNAseq studies (scRNAseq)
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scDblFinderMethods for detecting doublets in single-cell sequencing data
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mgatkmgatk: mitochondrial genome analysis toolkit
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PandoMultiome GRN inference.
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crop-seqData analysis scripts for Datlinger et. al, 2017 (doi:10.1038/nmeth.4177)
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scCATCHAutomatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
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