scarchesReference mapping for single-cell genomics
Stars: ✭ 175 (+326.83%)
Mutual labels: rna-seq-analysis, single-cell-genomics, human-cell-atlas
scAlignA deep learning-based tool for alignment and integration of single cell genomic data across multiple datasets, species, conditions, batches
Stars: ✭ 32 (-21.95%)
Mutual labels: single-cell-genomics, human-cell-atlas
NetBIDData-driven Network-based Bayesian Inference of Drivers
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Mutual labels: rna-seq-analysis
squidpySpatial Single Cell Analysis in Python
Stars: ✭ 235 (+473.17%)
Mutual labels: single-cell-genomics
ORNAFast in-silico normalization algorithm for NGS data
Stars: ✭ 21 (-48.78%)
Mutual labels: rna-seq-analysis
vidgerMake rapid visualizations of RNA-seq data in R
Stars: ✭ 19 (-53.66%)
Mutual labels: rna-seq-analysis
scGEAToolboxscGEAToolbox: Matlab toolbox for single-cell gene expression analyses
Stars: ✭ 15 (-63.41%)
Mutual labels: rna-seq-analysis
sports1.1Small non-coding RNA annotation Pipeline Optimized for rRNA- and tRNA-Derived Small RNAs
Stars: ✭ 35 (-14.63%)
Mutual labels: rna-seq-analysis
Interactive-3D-Plotting-in-Seurat-3.0.0This repository contains R code, with which you can create 3D UMAP and tSNE plots of Seurat analyzed scRNAseq data
Stars: ✭ 80 (+95.12%)
Mutual labels: rna-seq-analysis
snATAC<<------ Use SnapATAC!!
Stars: ✭ 23 (-43.9%)
Mutual labels: single-cell-genomics
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 (+31.71%)
Mutual labels: single-cell-genomics
cellrankCellRank for directed single-cell fate mapping
Stars: ✭ 222 (+441.46%)
Mutual labels: single-cell-genomics
railScalable RNA-seq analysis
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Mutual labels: rna-seq-analysis
idealInteractive Differential Expression AnaLysis - DE made accessible and reproducible
Stars: ✭ 24 (-41.46%)
Mutual labels: rna-seq-analysis
EmptyDrops2017Code for the empty droplet and cell detection project from the HCA Hackathon.
Stars: ✭ 16 (-60.98%)
Mutual labels: human-cell-atlas
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.
Stars: ✭ 35 (-14.63%)
Mutual labels: rna-seq-analysis
rna-seq-snakemakeSnakemake based pipeline for RNA-Seq analysis
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Mutual labels: rna-seq-analysis
topometryA comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.
Stars: ✭ 64 (+56.1%)
Mutual labels: single-cell-genomics
GREINGREIN : GEO RNA-seq Experiments Interactive Navigator
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Mutual labels: rna-seq-analysis
ginkgoCloud-based single-cell copy-number variation analysis tool
Stars: ✭ 42 (+2.44%)
Mutual labels: single-cell-genomics
