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30daychartchallenge

My chart for the 30DayChartChallenge

auto-download-qqmail-attach

Python + Selenium + Chrome 模拟登陆QQ邮箱，批量下载附件，本地重命名

awesome-ggplot2

A curated list of awesome ggplot2 tutorials, packages etc.

bioart.github.io

My personal blog for bioinformations!

bsa

count2fpkm

This Scirpt is used to transform the Read Count to FPKM by using DESeq2

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

docs

Documentation of the Snakemake-Workflows project

eurydice

Snakemake workflow that implements GATK Best Practices for detecting SNPs and indels in RNA-seq data.

explorerpatcher

This project aims to enhance the working environment on Windows

fastani_heatmap

This repository contains R code for building a heatmap and histogram with the output of FastANI

free_r_tips

Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every week.

gccalc

Calculate circos format data of GC content and GC skew from genome data.

ilus

A handy pipeline generator for whole genome re-sequencing (WGS) and whole exom sequencing data (WES) analysis. 一个简易且全面的 WGS/WES 分析流程生成器.

jjanno

An annotation package for ggplot plot

leetcode-python

LeetCode solutions in Python2. LeetCode题解 in Python2。

m6a-seq_analysis_workflow

A pipeline to process m6A-seq data and down stream analysis.

macs

MACS -- Model-based Analysis of ChIP-Seq

merip_reanalysis_scripts

Scripts for paper entitled "Limits in the detection of m6A changes using MeRIP/m6A-seq

ngs-analysis

二代测序数据分析

rna-seq-star-deseq2

RNA-seq workflow using STAR and DESeq2

rna-seq-variant-calling

Snakemake based workflow for calling Variants on RNA-Seq data in a joint calling mode

rnacocktail

rnaseq

RNA sequencing analysis pipeline using STAR, RSEM, HISAT2 or Salmon with gene/isoform counts and extensive quality control.

rnaseq_analysis_scripts

Scripts for RNA seq analysis

rnaseqstat

A Pipeline to Process RNAseq Data

rseqc

fork of RSeQC python RNAseq metrics suit of tools

scmlnet

single-cell-rnaseq-analysis

A guide for analyzing single-cell RNA-seq data using the R package Seurat. Go from raw data to cell clustering, identifying cell types, custom visualizations, and group-wise analysis of tumor infiltrating immune cells using data from Ishizuka et al. Nature 2019.

slidev

Presentation Slides for Developers (Beta)