TOM YAN's repositories
ChIP-seq-analysis
ChIP-seq analysis notes from Tommy Tang
DNA-seq-analysis
my notes on whole exome and whole genome sequencing analysis
happy-git-with-r
Using Git and GitHub with R, Rstudio, and R Markdown
NGS_data_processing
Tool set for processing fasta/fastq/table formated data. Usually they are perl scripts.
Population_Genetics_in_R
A primer for computational tools to analyze genetics of populations in R
awesome-bash
A curated list of delightful Bash scripts and resources.
awesome-cheatsheets
超级速查表 - 编程语言、框架和开发工具的速查表，单个文件包含一切你需要知道的东西 :zap:
dataviz-1
A book covering the fundamentals of data visualization.
DiagrammeR
Graph and network visualization using tabular data in R
DNAscan
DNAscan is a fast and efficient bioinformatics pipeline that allows for the analysis of DNA Next Generation sequencing data, requiring very little computational effort and memory usage.
efficientR
Efficient R programming: a book
essential-R
:rocket: Essential tools and libraries for programming in R.
gglabeller
Shiny gadget for labeling points on ggplot
ggplotgui-1
ggplotgui
ggsignif-1
Easily add significance brackets to your ggplots
LearnPython
以撸代码的形式学习Python
moderndive_book
ModernDive: An Introduction to Statistical and Data Sciences via R at http://www.moderndive.com
purrr-tutorial-1
Materials for getting to the know the R package purrr
Python-100-Days
Python - 100天从新手到大师
r-color-palettes
Comprehensive list of color palettes available in r
RLadiesIntroToPurrr
An introduction to the purrrr package + example workflow.
RNA-seq-analysis
RNAseq analysis notes from Tommy Tang
Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse
Reexpress McElreath’s "Statistical Rethinking" (2015) by fitting the models in brms, plotting with ggplot2, and data wrangling with tidyverse-style syntax.
Tensorflow-Programs-and-Tutorials
Implementations of CNNs, RNNs, GANs, etc
the-road-to-progress
Step-by-step guide for vectorizing/parallelizing your code
urban_R_theme
http://urbaninstitute.github.io/urban_R_theme/
vcf2maf
Convert a VCF into a MAF, where each variant is annotated to only one of all possible gene isoforms