lucygarner's Stars
seandavi/awesome-single-cell
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
hms-dbmi/UpSetR
An R implementation of the UpSet set visualization technique published by Lex, Gehlenborg, et al..
mdozmorov/scRNA-seq_notes
A list of scRNA-seq analysis tools
aertslab/pySCENIC
pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene regulatory networks and cell types from single-cell RNA-seq data.
dmcable/spacexr
Spatial-eXpression-R: Cell type identification (including cell type mixtures) and cell type-specific differential expression for spatial transcriptomics
graphia-app/graphia
A visualisation tool for the creation and analysis of graphs
kharchenkolab/pagoda2
R package for analyzing and interactively exploring large-scale single-cell RNA-seq datasets
rcastelo/GSVA
Gene set variation analysis
BiomedicalMachineLearning/stLearn
A novel machine learning pipeline to analyse spatial transcriptomics data
compbiomed/singleCellTK
Interactively analyze single cell genomic data
saezlab/decoupler-py
Python package to perform enrichment analysis from omics data.
YosefLab/VISION
Signature Analysis and Visualization for Single-Cell RNA-seq
NVIDIA-Genomics-Research/AtacWorks
Deep learning based processing of Atac-seq data
aertslab/AUCell
AUCell: score single cells with gene regulatory networks
zktuong/dandelion
dandelion - A single cell BCR/TCR V(D)J-seq analysis package for 10X Chromium 5' data
saezlab/progeny
R package for Pathway RespOnsive GENe activity inference
mdozmorov/scATAC-seq_notes
scATAC-seq data analysis tools and papers
Durenlab/LINGER
carmonalab/GeneNMF
Methods to discover gene programs on single-cell data
broadinstitute/2020_scWorkshop
Code and data repository for the 2020 physalia course on single cell RNA sequencing.
NathanSkene/EWCE
Expression Weighted Celltype Enrichment. See the package website for up-to-date instructions on usage.
willtownes/scrna2019
supporting code for the multinomial single cell RNA-Seq paper
guokai8/scGSVA
scGSVA: Perform GSVA for single cell RNA seq
heiniglab/scPower
Experimental design framework for scRNAseq population studies (eQTL and DE)
powellgenomicslab/DropletQC
Nuclear fraction QC metric to detect empty droplets and damaged cells in scRNA-seq data
WCSCourses/SingleCell_23
Hands-on training on the latest methodologies and applications for the analysis of nucleic acids from eukaryotic single cells
Drinchai/BloodGen3Module
This R package for performing module repertoire analyses and generating fingerprint representations
kdzimm/hierarchicell
An R package for simulating cell-type specific and hierarchical single-cell expression data
Taylor-CCB-Group/SpOOx
SPatial Omics Oxford Analysis Pipeline
GabrielHoffman/crumblr
Count ratio uncertainty modeling base linear regression