Pinned Repositories
bioinformatics
:microscope: Path to a free self-taught education in Bioinformatics!
bioinformatics_resources
Book
bulk-rnaseq-analysis
A complete guide for analyzing bulk RNA-seq data. Go from raw FASTQ files to mapping reads using STAR and differential gene expression analysis using DESeq2, using example data from Guo et al. 2019.
comparative_single-cell_workshop
Introduction to comparative single-cell transcriptomics data-analysis
DGE_workshop_salmon_online
ggplot-cheatsheets
RStudio Cheat Sheets
handbook-cancer-genomics
my first book, Biological information analysis of cancer tumors
MSD_R_course_June2022
OBDS_01_2024
OBDS_01_2024
luyaowang1's Repositories
luyaowang1/TCR-BCR-seq-analysis
T/B cell receptor sequencing analysis notes
luyaowang1/DGE_workshop_salmon_online
luyaowang1/bioinformatics
:microscope: Path to a free self-taught education in Bioinformatics!
luyaowang1/treg-gut-niches
Data pre-processing and analysis scripts for the article "Immune microniches shape intestinal Treg function"
luyaowang1/STAR
RNA-seq aligner
luyaowang1/OBDS_01_2024
OBDS_01_2024
luyaowang1/OBDS_Open_Workshop_Materials
This repository contains documentation relating to how to use conda for installing bioinformatic software, creating new enviroments when you have conflicting dependences and how to use conda for reproducible research
luyaowang1/scRNAseq-analysis-notes
scRNAseq analysis notes from Ming Tang
luyaowang1/bioinformatics_resources
luyaowang1/Spatiotemporal_mouse_implantation_sites
luyaowang1/ggplot-cheatsheets
RStudio Cheat Sheets
luyaowang1/scRNA.seq.course
Analysis of single cell RNA-seq data course
luyaowang1/TRM_OV_sc
luyaowang1/MSD_R_course_June2022
luyaowang1/comparative_single-cell_workshop
Introduction to comparative single-cell transcriptomics data-analysis
luyaowang1/handbook-cancer-genomics
my first book, Biological information analysis of cancer tumors
luyaowang1/TLGL
Some scripts for T-LGLL single cell RNA-seq project
luyaowang1/bulk-rnaseq-analysis
A complete guide for analyzing bulk RNA-seq data. Go from raw FASTQ files to mapping reads using STAR and differential gene expression analysis using DESeq2, using example data from Guo et al. 2019.
luyaowang1/Book