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chatgpt_academic

中科院科研工作专用ChatGPT，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善

chatpaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文总结+润色+审稿+审稿回复

chip-seq-analysis

ChIP-seq analysis notes from Ming Tang

clim

Codes developed for the "Collateral Lethal genes Identification via Metabolic fluxes (CLIM)" platform

comp-genomics-class

Code and examples for JHU Computational Genomics class

cpython

The Python programming language

csvkit

A suite of utilities for converting to and working with CSV, the king of tabular file formats.

dataviz

A book covering the fundamentals of data visualization

dgit

A simple CLI for downloading git repository files.

diffdynpkm

fpkm/rpkm/cpm/tpm Calculate differential expression and predic dynamic expression in different conditions

drompaplus

ChIP-seq pipeline tool for quality check, normalization, statistical analysis, and visualization of multiple ChIP-seq samples.

dsbook

Repository for data science book

echarts

Apache ECharts is a powerful, interactive charting and data visualization library for browser

elegantbookdown

:book: A bookdown wrapper for ElegantBook

eryajf.github.io

二丫讲梵👇博客全部源码

figr

Functional Inference of Gene Regulation

geo

ggbio

Grid and ggplot2 based visualization for biological data

gget_examples

Examples for gget (https://github.com/pachterlab/gget).

ggplot2_workshop

Material for "Drawing Anything with ggplot2" workshop

google-books-preview-pages-downloader

Download Google Books

graphbio

GraphBio: a shiny web app to easily perform popular visualization analysis for omics data

han_china

Han Chinese standalone for 0 AD

hbctraining-scrna-seq

healthyr_book

R for Health Data Science

heart-disease-prediction

Various classification algorithms are implemented to predict whether a person is prone to or is suffering from heart disease

intro-to-chipseq

Intro to ChIPseq using HPC

keyword-feeds

Generate keyword based XML or JSON feeds from various data sources

learn-bioinformatics

List of resources for learning bioinformatics, from beginner to advanced

learn-bioinformatics-1