immuneMLimmuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.
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DeepTCRDeep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data
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ropThe Read Origin Protocol (ROP) is a computational protocol that aims to discover the source of all reads, including those originating from repeat sequences, recombinant B and T cell receptors, and microbial communities.
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NebulosaR package to visualize gene expression data based on weighted kernel density estimation
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CATTAn ultra-sensitive and precise tool for characterizing T cell CDR3 sequences in TCR-seq and RNA-seq data.
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dyngenSimulating single-cell data using gene regulatory networks 📠
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CytoPyA data-centric flow/mass cytometry automated analysis framework
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scMCAMouse cell atlas
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shiny-iatlasAn interactive web portal for exploring immuno-oncology data
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CrossTalkeRR package to do the Ligand Receptor Analysis Visualization
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DRComparisonComparison of dimensionality reduction methods
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immunedbImmuneDB - A system for the analysis and exploration of high-throughput adaptive immune receptor sequencing data
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SHARPSHARP: Single-cell RNA-seq Hyper-fast and Accurate processing via ensemble Random Projection
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turbocookedrabbitA user friendly RabbitMQ library written in Golang.
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hlatypingPrecision HLA typing from next-generation sequencing data
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substrate-tcrA Parity Substrate runtime implementation of a simple Token Curated Registry (TCR)
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trVAEConditional out-of-distribution prediction
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BEERBEER: Batch EffEct Remover for single-cell data
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bapBead-based single-cell atac processing
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CITE-seq-CountA tool that allows to get UMI counts from a single cell protein assay
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substrate-tcr-uiA react.js frontend for Substrate TCR runtime.
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scPowerExperimental design framework for scRNAseq population studies (eQTL and DE)
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vdjmatch⚙️ Matching T-cell repertoire against a database of TCR antigen specificities
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velodynDynamical systems methods for RNA velocity analysis
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ExpressionMatrix2Software for exploration of gene expression data from single-cell RNA sequencing.
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sintoTools for single-cell data processing
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cardelinoClone identification from single-cell data
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GLUEGraph-linked unified embedding for single-cell multi-omics data integration
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anndata2riConvert between AnnData and SingleCellExperiment
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fastq utilsValidation and manipulation of FASTQ files, scRNA-seq barcode pre-processing and UMI quantification.
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CUT-RUNTools-2.0CUT&RUN and CUT&Tag data processing and analysis
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NGSNext-Gen Sequencing tools from the Horvath Lab
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babelDeep learning model for single-cell inference of multi-omic profiles from a single input modality.
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kanaSingle cell analysis in the browser
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dynmethodsA collection of 50+ trajectory inference methods within a common interface 📥📤
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cellSNPPileup biallelic SNPs from single-cell and bulk RNA-seq data
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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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kmer-homology-paperManuscript for functional prediction of transcriptomic “dark matter” across species
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tcr-workshopInformation and instructions for trying TCR workflow (test && commit || revert)
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celltypistA tool for semi-automatic cell type annotation
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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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SCICoNESingle-cell copy number calling and event history reconstruction.
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SCOPE-toolsSingle-Cell Omics Preparation Entity Tools
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switchdeInference of switch-like differential expression along single-cell trajectories
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snATAC<<------ Use SnapATAC!!
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netSmoothnetSmooth: A Network smoothing based method for Single Cell RNA-seq imputation
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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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scarchesReference mapping for single-cell genomics
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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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IGoRIGoR is a C++ software designed to infer V(D)J recombination related processes from sequencing data. Find full documentation at:
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SCopeFast visualization tool for large-scale and high dimensional single-cell data
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GCModellerGCModeller: genomics CAD(Computer Assistant Design) Modeller system in .NET language
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kallistobustoolskallisto | bustools workflow for pre-processing single-cell RNA-seq data
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VoxHuntVoxHunt: Resolving human brain organoid heterogeneity through single-cell genomic comparison to spatial brain maps
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cellsnp-liteEfficient genotyping bi-allelic SNPs on single cells
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scATAC-proA comprehensive tool for processing, analyzing and visulizing single cell chromatin accessibility sequencing data
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