fastq utilsValidation and manipulation of FASTQ files, scRNA-seq barcode pre-processing and UMI quantification.
Stars: ✭ 25 (+25%)
celltypistA tool for semi-automatic cell type annotation
Stars: ✭ 92 (+360%)
BEERBEER: Batch EffEct Remover for single-cell data
Stars: ✭ 19 (-5%)
scAlignA deep learning-based tool for alignment and integration of single cell genomic data across multiple datasets, species, conditions, batches
Stars: ✭ 32 (+60%)
scarfToolkit 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.
Stars: ✭ 54 (+170%)
cardelinoClone identification from single-cell data
Stars: ✭ 49 (+145%)
scarchesReference mapping for single-cell genomics
Stars: ✭ 175 (+775%)
kallistobustoolskallisto | bustools workflow for pre-processing single-cell RNA-seq data
Stars: ✭ 79 (+295%)
HarmonyHarmony framework for connecting scRNA-seq data from discrete time points
Stars: ✭ 36 (+80%)
GLUEGraph-linked unified embedding for single-cell multi-omics data integration
Stars: ✭ 180 (+800%)
GCModellerGCModeller: genomics CAD(Computer Assistant Design) Modeller system in .NET language
Stars: ✭ 25 (+25%)
scDblFinderMethods for detecting doublets in single-cell sequencing data
Stars: ✭ 48 (+140%)
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 (+25%)
scABCNo description or website provided.
Stars: ✭ 16 (-20%)
bapBead-based single-cell atac processing
Stars: ✭ 20 (+0%)
scHPFSingle-cell Hierarchical Poisson Factorization
Stars: ✭ 52 (+160%)
CUT-RUNTools-2.0CUT&RUN and CUT&Tag data processing and analysis
Stars: ✭ 36 (+80%)
sintoTools for single-cell data processing
Stars: ✭ 74 (+270%)
symphonyEfficient and precise single-cell reference atlas mapping with Symphony
Stars: ✭ 69 (+245%)
SpiceMixspatial transcriptome, single cell
Stars: ✭ 19 (-5%)
crop-seqData analysis scripts for Datlinger et. al, 2017 (doi:10.1038/nmeth.4177)
Stars: ✭ 24 (+20%)
OpenOmicsA bioinformatics API and web-app to integrate multi-omics datasets & interface with public databases.
Stars: ✭ 22 (+10%)
TangramSpatial alignment of single cell transcriptomic data.
Stars: ✭ 149 (+645%)
gchromVARCell type specific enrichments using finemapped variants and quantitative epigenetic data
Stars: ✭ 31 (+55%)
scMCAMouse cell atlas
Stars: ✭ 45 (+125%)
zellkonverterConversion between scRNA-seq objects
Stars: ✭ 67 (+235%)
cellrouterReconstruction of complex single-cell trajectories using CellRouter
Stars: ✭ 38 (+90%)
NebulosaR package to visualize gene expression data based on weighted kernel density estimation
Stars: ✭ 50 (+150%)
melonnpanModel-based Genomically Informed High-dimensional Predictor of Microbial Community Metabolic Profiles
Stars: ✭ 20 (+0%)
mauiMulti-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
Stars: ✭ 42 (+110%)
northstarSingle cell type annotation guided by cell atlases, with freedom to be queer
Stars: ✭ 23 (+15%)
mgatkmgatk: mitochondrial genome analysis toolkit
Stars: ✭ 65 (+225%)
VoxHuntVoxHunt: Resolving human brain organoid heterogeneity through single-cell genomic comparison to spatial brain maps
Stars: ✭ 27 (+35%)
kmer-homology-paperManuscript for functional prediction of transcriptomic “dark matter” across species
Stars: ✭ 12 (-40%)
SHARPSHARP: Single-cell RNA-seq Hyper-fast and Accurate processing via ensemble Random Projection
Stars: ✭ 14 (-30%)
SCOPE-toolsSingle-Cell Omics Preparation Entity Tools
Stars: ✭ 14 (-30%)
EDS💡 💾 💽 A simple, intuitive and Efficient single cell binary Data Storage format
Stars: ✭ 16 (-20%)
cellsnp-liteEfficient genotyping bi-allelic SNPs on single cells
Stars: ✭ 47 (+135%)
PandoMultiome GRN inference.
Stars: ✭ 21 (+5%)
cellSNPPileup biallelic SNPs from single-cell and bulk RNA-seq data
Stars: ✭ 42 (+110%)
vireoDemultiplexing pooled scRNA-seq data with or without genotype reference
Stars: ✭ 34 (+70%)
vitessceRR API and htmlwidget for Vitessce
Stars: ✭ 19 (-5%)
anndata2riConvert between AnnData and SingleCellExperiment
Stars: ✭ 79 (+295%)
MERINGUEcharacterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomics data with nonuniform cellular densities
Stars: ✭ 33 (+65%)
kanaSingle cell analysis in the browser
Stars: ✭ 81 (+305%)
cTPnetcTPnet Package
Stars: ✭ 18 (-10%)
trVAEConditional out-of-distribution prediction
Stars: ✭ 47 (+135%)
EWCEExpression Weighted Celltype Enrichment. See the package website for up-to-date instructions on usage.
Stars: ✭ 30 (+50%)
CITE-seq-CountA tool that allows to get UMI counts from a single cell protein assay
Stars: ✭ 62 (+210%)
scCATCHAutomatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
Stars: ✭ 137 (+585%)
scGEAToolboxscGEAToolbox: Matlab toolbox for single-cell gene expression analyses
Stars: ✭ 15 (-25%)
SCICoNESingle-cell copy number calling and event history reconstruction.
Stars: ✭ 20 (+0%)
iDEADifferential expression (DE); gene set Enrichment Analysis (GSEA); single cell RNAseq studies (scRNAseq)
Stars: ✭ 23 (+15%)
cellrangerRkitNon-official Git repository for R package cellrangerRkit (currently not available elsewhere; I'm not affiliated with 10x)
Stars: ✭ 18 (-10%)
NGSNext-Gen Sequencing tools from the Horvath Lab
Stars: ✭ 30 (+50%)
cnaCovarying neighborhood analysis (CNA) is a method for finding structure in- and conducting association analysis with multi-sample single-cell datasets.
Stars: ✭ 35 (+75%)
cerebraA tool for fast and accurate summarizing of variant calling format (VCF) files
Stars: ✭ 55 (+175%)