Schedule of Bioinformatics

本项目是徐英泽创建的 生物信息学（2026春） 的学期学习计划。

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 Target

1. 熟练掌握markdown，在课上可以熟练使用markdown记笔记。
2. 本人的linux与R语言熟练度较低，计划在课余时间自主学习，详细计划见后。
3. 每周花费5h及以上时间完成课后作业、复习课件以及练习Tutorial中内容。
4. 使用Github desktop进行备份。 ***

 Part I. Programming Skills

|Week|Topic|Detail| |:—:|:—:|:—:| |1|Docker & Markdown & Github|Tutorial:
Markdown语法学习| |2-4|Linux Basic|Tutorial:
Linux 入门教程

Practice:
Linux 练习

Additional reading:
《鸟哥的Linux私房菜——基础学习篇》| |5-8|R Basic|Tutorial & Practice:
R basics

Additional reading:
《Quick-R》 | |9-12|R Plot|Tutorial & Practice:
R Plot

Additional reading:
《Bioinformatics Data Skills》| |13-16|Python|Tutorial & Practice:
Python

Additional reading:
《笨办法学 Python》|

 Part II. Analyses

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Hope: Communication with others is essential, but try to finish the homework and practice on my own if possible to master the skills.

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•   Basic Analyses

  |Topic|Tutorial|Additional Reading| |:—:|:—:|:—:| |Sequence Alignment & Blast|Tutorial & Practice|101 计划《生物信息学》| |Conservation Analysis & Evolution|Tutorial & Practice|101 计划《生物信息学》| |Genomic Projects & Resources|Tutorial & Practice|101 计划《生物信息学》|

•   NGS Data Analyses

  |Topic|Tutorial|Additional Reading| |:—:|:—:|:—:| |NGS and Reads Mapping|Tutorial & Practice|-| |DNA-seq and Genomic Features|Tutorial & Practice|101 计划《生物信息学》6.基因组学| |RNA-seq and Functional Analysis|Tutorial & Practice|101 计划《生物信息学》7.转录组学| |ChIP-seq, CLIP-seq and Networking|Tutorial & Practice|101 计划《生物信息学》
  8.转录调控和表观遗传 11.系统生物学|

•   Machine Learning & AI

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  Note: Learn how to use DeepLabCut. ** |Topic|Tutorial|Additional Reading| |:—:|:—:|:—:| |Machine Learning & AI - Introduction|Tutorial & Practice|101 计划《生物信息学》3.深度学习和 AI| |Machine Learning & AI - Knowhow|Tutorial & Practice|《机器学习》| |Machine Learning & AI - Models|Tutorial & Practice|《机器学习》| |Applications: AI for Biomedicine|Tutorial & Practice|“101 计划”《生物信息学》12.生物信息学应用| **

   [Tsinghua] 清华校历