Pinned Repositories
2010_Python_class
2017_2018-single-cell-RNA-sequencing-Workshop-UCD_UCB_UCSF
2017_2018 single cell RNA sequencing Workshop UCD_UCB_UCSF
asap_reproducibility
Reproducing all analyses and figures for the ASAP-seq paper
asap_to_kite
CL python script to reformat CITEATAC fastqs for kite (kallisto | bustools) processing
atacseq
ATAC-seq peak-calling, QC and differential analysis pipeline
bashscripting-2874016
Learning Bash Scripting
bioinformatics
Code inspired by Bioinformatics Algorithms: an Active Learning Approach.
book
CellChat
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data
cheatsheets-1
RStudio Cheat Sheets
jang1563's Repositories
jang1563/cheatsheets-1
RStudio Cheat Sheets
jang1563/asap_reproducibility
Reproducing all analyses and figures for the ASAP-seq paper
jang1563/asap_to_kite
CL python script to reformat CITEATAC fastqs for kite (kallisto | bustools) processing
jang1563/atacseq
ATAC-seq peak-calling, QC and differential analysis pipeline
jang1563/bashscripting-2874016
Learning Bash Scripting
jang1563/bioinformatics
Code inspired by Bioinformatics Algorithms: an Active Learning Approach.
jang1563/book
jang1563/CellChat
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data
jang1563/compGenomRData
Data for book
jang1563/DE-Analysis-Basic-Tutorial
This repository contains a basic tutorial on performing differential expression analysis using r and the Bioconductor package.
jang1563/dsb
Normalize CITEseq Data
jang1563/exercises
jang1563/genepi-book
jang1563/gggenomes
A grammar of graphics for comparative genomics
jang1563/inspiration4-omics
Scripts run during processing and analysis of Inspiration4 omics data.
jang1563/logomaker
Software for the visualization of sequence-function relationships
jang1563/MetaMaps
Long-read metagenomic analysis
jang1563/mgatk
mgatk: mitochondrial genome analysis toolkit
jang1563/mitoClone
jang1563/monocle3
jang1563/princess
jang1563/Python_graph_code
jang1563/salmon
🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment
jang1563/scGPT
jang1563/ScreenProcessing
jang1563/sockeye
Single Cell Transcriptomics
jang1563/SoupX
R package to quantify and remove cell free mRNAs from droplet based scRNA-seq data
jang1563/STAR
RNA-seq aligner
jang1563/TOBIAS
Transcription factor Occupancy prediction By Investigation of ATAC-seq Signal
jang1563/VGenes
VGene development