与生物信息学相关的实用教程收集（持续更新）
2019-05-04 本文已影响43人
小明的数据分析笔记本
- 1 https://zhuanlan.zhihu.com/p/32967606 知乎基因共表达分析及可视化
- 2 https://zhuanlan.zhihu.com/p/36347578 知乎MUMer软件使用的简单介绍
- 3 https://www.jianshu.com/p/2e184e5c15b7 简书MUMmer教程
- 4 https://www.liaoxuefeng.com/wiki/0013739516305929606dd18361248578c67b8067c8c017b000 廖雪峰github使用教程
- 5 https://www.bpteach.com/wechat-markdown-layout/ 微信公众号markdown排版
- 6 https://blog.csdn.net/dyc87112/article/details/77417572 微信公众号markdown排版
- 7 http://www.r-graph-gallery.com/all-graphs/ 非常多的R语言漂亮图片及代码
- 8 https://serialmentor.com/dataviz/ R语言数据可视化基础教程 Fundamentals of Data Visualization 相应的github主页 https://github.com/clauswilke/dataviz
- 9 https://github.com/jarekbryk/localblast A short tutorial on how to run local BLAST
- 10 http://www.cookbook-r.com/Graphs/Colors_(ggplot2)/ R语言ggplot2配色
- 11 https://www.jianshu.com/p/5e93de502e2b python 50图下
- 12 http://userweb.eng.gla.ac.uk/umer.ijaz/bioinformatics/ecological.html 论文数据代码全纪录，一定要重复完
- 13 https://stackoverflow.com/questions/11641356/circular-plot-in-ggplot2-with-line-segments-connected-in-r ggplot2圆圈图
- 14 http://blog.genesino.com/2016/07/ete/ ete3 教程
- 15 python NBA数据爬取 http://savvastjortjoglou.com/nba-draft-part01-scraping.html
- 16 R NBA数据爬取 https://www.r-bloggers.com/scraping-nba-game-data-from-basketball-reference-com/
- 17 https://stackoverflow.com/questions/14599150/chord-diagram-in-r 弦图 （chord diagram）
- 18 https://genviz.org/module-02-r/0002/03/01/introToggplot2/ ggplot2作图
- 19 https://stackoverflow.com/questions/14298102/how-to-find-inverted-repeated-pattern-in-a-fasta-sequence python查找反向重复序列
- 20 https://www.jianshu.com/p/f8105541580f 简书snpEff构建自己的数据库
- 21 https://www.imooc.com/article/268903 基因组重测序变异检测分析流程
- 22 https://plot.ly/python/filled-chord-diagram/ python 弦图
- 22 https://www.kaggle.com/khozzy/kobe-shots-show-me-your-best-model
Kaggle科比投篮数据分析 （Python） - 23 https://www.kaggle.com/xvivancos/kobe-bryant-shot-selection/data Kaggle科比投篮数据可视化 （R)
- 24 https://www.biostars.org/p/5165/计算测序深度和覆盖度
- 25 https://www.jianshu.com/p/75b9f6e97b06 简书 计算测序深度和覆盖度
- 26 [https://www.jianshu.com/p/82ed6e27f571](https://www.jianshu.com/p/82ed6e27f571）简书 计算测序深度和覆盖度
- 27 https://www.jianshu.com/p/d4bcb507e5c2 简书 计算测序深度和覆盖度
- 28 https://www.biostars.org/p/75489/
reads map参考基因组产生一致序列 - 29 https://bioinformatics-core-shared-training.github.io/cruk-bioinf-sschool/
Best Practices in the analysis of RNA-seq and ChiP-seq data - 30 http://chagall.med.cornell.edu/RNASEQcourse/ RNA-seq分析流程
- 31 https://www.jianshu.com/p/26511d3360c8 简书 转录组基因表达差异分析代码
- 32 https://www.jianshu.com/p/5828d1d060aa 简书 RNA-seq无比对直接定量(Kallisto - sleuth流程)
- 33 https://markdowntohtml.com/ Convert Markdown to HTML
- 34 https://www.zmrenwu.com/ 追梦人物的博客Python web Django
- 35 https://docs.djangoproject.com/en/2.2/ Django官方文档
- 36 http://web.stanford.edu/class/bios221/book/ Modern Statistics for Modern Biology
- 37 https://www.jianshu.com/p/7fc83c028918 简书绘制SNP密度图
- 38 https://wikis.utexas.edu/display/CoreNGSTools/Samtools%3A+viewing,+counting+and+sorting+your+alignment+data samtools常用的操作
- 39 http://blog.sciencenet.cn/blog-3406804-1154780.html 弦图
- 40 http://jokergoo.github.io/circlize/ 弦图2
- 42 https://www.yuque.com/wusheng/gw7a9p/qo8ekw 系统发育外类群的选择
- 43 https://github.com/jalapic/learnR learn R
