ArchR: An integrative and scalable software package for single-cell chromatin accessibility analysis (Granja JM*, Corces MR*, et al. 2020)
Please cite : Granja JM et al., ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis. Nature Genetics (2021)
ArchR_Make_Gene_Models.R - Code for making individual gene score models with ArchR.
ArchR_Test_Gene_Score_Model_Aggregates.R - Code for testing gene score models with aggregates of cells.
ArchR_PreProcess_Laptop_SimulatedPBMC_1M.R - Code for benchmarking analysis of 1M Simulated PBMC.
ArchR_PreProcess_Laptop_LargeHeme_220k.R - Code for benchmarking analysis of Large Hematopoeisis.
ArchR_PostAnalysis_Large_Heme_Analysis.R - Code for advanced post analysis of Large Hematopoeisis.
10x Version1 vs NextGem (Fragment Files) - https://www.10xgenomics.com/solutions/single-cell-atac/
Satpathy+, Granja+ et al 2019 (Fragment Files) - https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE129785&holding=F1000&otool=stanford
Granja+, Klemm+, McGinnis+ et al 2019 (Fragment Files) - https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE139369
Buenrostro et al 2018 (Bam Files) - https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE96772
Cusanovich et al 2018 (Bam Files) - http://atlas.gs.washington.edu/mouse-atac/data/
PBMC 10k - https://github.com/GreenleafLab/ArchR_2020/tree/master/ArchR_Benchmarking/PBMC-10k
PBMC 20k - https://github.com/GreenleafLab/ArchR_2020/tree/master/ArchR_Benchmarking/PBMC-20k
PBMC 30k - https://github.com/GreenleafLab/ArchR_2020/tree/master/ArchR_Benchmarking/PBMC-30k
PBMC 70k - https://github.com/GreenleafLab/ArchR_2020/tree/master/ArchR_Benchmarking/PBMC-70k
BMMC 30k - https://github.com/GreenleafLab/ArchR_2020/tree/master/ArchR_Benchmarking/BMMC-30k
Mouse Atlas 70k - https://github.com/GreenleafLab/ArchR_2020/tree/master/ArchR_Benchmarking/MouseAtlas-70k/ArchR
Note 1. We included 1 replicate Rmarkdown for the large computational setup since we have results for all softwares for each of the steps.
Note 2. We merged steps as described in the supplemental of the MS for clarity.
.rds file is an R binarized object to read into R use readRDS(filename)
SummarizedExperiment is a class in R see :
https://bioconductor.org/packages/release/bioc/html/SummarizedExperiment.html
deviations (TF chromVAR) is a class in R see :
https://bioconductor.org/packages/release/bioc/html/chromVAR.html
ArchR Project Containing Arrow Files :
https://www.dropbox.com/s/sijf2votfej629t/Save-Large-Heme-ArchRProject.tar.gz?dl=0
md5sum - 48d2b201b26b31d432314cc7dc8eb4a2
scATAC-seq Hematopoeisis cell x peak Summarized Experiment :
https://www.dropbox.com/s/8ghfwumepftu3ll/SE-scATAC-Large-Heme-Peaks.rds?dl=0
md5sum - 7c8abb4edf30b8aef038ddfc18f65af0
scATAC-seq Hematopoeisis cell x motif Summarized Experiment :
https://www.dropbox.com/s/owcathhdbcr23jq/SE-scATAC-Large-Heme-Motifs.rds?dl=0
md5sum - 23b7f6b7cdaba5e92ce695b309ec993c