Pinned Repositories
scmra
scMRA python module
megSAP
a Medical Genetics Sequence Analysis Pipeline
ngs-bits
Short-read sequencing tools
SCDemultiplexingGUI
GUI for fast and effecient demultipelxing of any single-cell data. RNAseq mapping ahs to be done independantly.
SCDemultiplexingPipeline
A fast pipeline for demultiplexing highly multiplexed single-cell data (like Combinatorial Indexing) and creating a SC-FEATURE matrix. The tool is readily applicable to any combination of barcodes. You can allow for a different number of mismatches in each sequence (barcodes, linker).
scmra_analysis
This repository contains all the code for the scMRA/scCNR paper 'Reconstructing and comparing signal transduction networks from single cell protein quantification data'.
scMRA_Tutorial
SCProteinNormalization
Method to normalize single-cell protein count data. We find and optimal balance between normalizing away library size while at the same time keeping the cov(protein, normFactor) as low as possible.
tstohn's Repositories
tstohn/SCDemultiplexingGUI
GUI for fast and effecient demultipelxing of any single-cell data. RNAseq mapping ahs to be done independantly.
tstohn/SCDemultiplexingPipeline
A fast pipeline for demultiplexing highly multiplexed single-cell data (like Combinatorial Indexing) and creating a SC-FEATURE matrix. The tool is readily applicable to any combination of barcodes. You can allow for a different number of mismatches in each sequence (barcodes, linker).
tstohn/scmra_analysis
This repository contains all the code for the scMRA/scCNR paper 'Reconstructing and comparing signal transduction networks from single cell protein quantification data'.
tstohn/scMRA_Tutorial
tstohn/SCProteinNormalization
Method to normalize single-cell protein count data. We find and optimal balance between normalizing away library size while at the same time keeping the cov(protein, normFactor) as low as possible.