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A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin
An open access book on scientific visualization using python and matplotlib
A package to help convert different single-cell data formats to each other
Must-read papers on deep learning based methodology paper for single cell data analysis
CRUK Bioinformatics Workshop September 2017
Topics In Data Science and Bioinformatics
ArchR : Analysis of Regulatory Chromatin in R (www.ArchRProject.com)
scRNAseq analysis notes from Ming Tang
Single-cell Transcriptome and Regulome Analysis Pipeline
Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
I love Vim, and I also love modifying it to be more convenient and efficient. So I name it "ivim"! Welcome to contribute to ivim.
Single cell ATAC-seq of mouse mammary cells
Publication Page for Satpathy*, Granja* et al 2019
Publication Page for MPAL Paper 2019
Benchmarking computational single cell ATAC-seq methods
Single-cell ATAC-seq analysis via Latent feature Extraction
R toolkit for the analysis of single-cell chromatin data
R implementation of MULTI-seq sample classification workflow
Automated, probabilistic assignment of cell types in scRNA-seq data
List of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
Book about interpretable machine learning
DC3: Deconvolution and coupled clustering from bulk and single cell genomics data