zktuong
I'm a Group leader at The University of Queensland on Pediatric Systems Immunology and I use R and python to analyse lots of single-cell RNAseq data
The University of Queensland
zktuong's Stars
schochastics/graphlayouts
new layout algorithms for network visualizations in R
statOmics/tradeSeq
TRAjectory-based Differential Expression analysis for SEQuencing data
jaydu1/VITAE
Joint Trajectory Inference for Single-cell Genomics Using Deep Learning with a Mixture Prior
rbr1/BCR_TCR_PROCESSING_PIPELINE
BCR/TCR processing pipeline for NGS data
nschloe/tuna
:fish: Python profile viewer
jcao89757/TESSA
Mapping the Functional Landscape of TCR Repertoire
ThomasJamesMitchell/deSCeRNAMut
Method for de novo mutation calling from droplet based single cell RNA seq data
Teichlab/celltypist
A tool for semi-automatic cell type classification
bjstewart1/GenotypeMixtures
Stitches together genotype clusters from multiple Souporcell results over large single cell genomics experiments
amcdavid/CellaRepertorium
Methods for clustering and analyzing high-throughput single cell immune cell repertoires (RepSeq)
gecko984/supervenn
supervenn: precise and easy-to-read multiple sets visualization in Python
Teichlab/MultiMAP
MultiMAP for integration of single cell multi-omics
scverse/scirpy
A scanpy extension to analyse single-cell TCR and BCR data.
MarioniLab/miloR
R package implementation of Milo for testing for differential abundance in KNN graphs
nick-fields/retry
Retries a GitHub Action step on failure or timeout
RubbaBoy/BYOB
Bring Your Own Badge - Create dynamic README badges based off of your GitHub Actions
maryellenlynall/2019_bcell_stress
zktuong/ktplots
Some tools for plotting single-cell data
zqfang/GSEApy
Gene Set Enrichment Analysis in Python