院系:生物信息学/计算机基础
MobaXterm:用于Windows的增强型终端,具有X11服务器、标签式SSH客户端、网络工具等功能。
https://mobaxterm.mobatek.net/
Linux知识点思维导图:https://woaielf.github.io/2017/09/15/linux-core/
Linux Documentation Project Guides:https://tldp.org/guides.html
Linux命令大全(手册):https://www.linuxcool.com/
Unix/Linux Command Cheat Sheet:https://fosswire.com/post/2007/08/unixlinux-command-cheat-sheet/
The Essential Cheat Sheet for Linux Admins:https://www.loggly.com/blog/the-essential-cheat-sheet-for-linux-admins/
linux shell学习资源:https://github.com/huzhifeng/LearnX/blob/master/shell/shell.md
高级Bash脚本编程指南:https://linuxstory.gitbook.io/advanced-bash-scripting-guide-in-chinese/
AWK 程序设计语言:https://github.com/wuzhouhui/awk
- AWK编程语言:https://archive.org/download/pdfy-MgN0H1joIoDVoIC7/The_AWK_Programming_Language.pdf
- https://github.com/M-Mono/The-AWK-Programming-Language
Sed _ awk 101 Hacks:https://github.com/devops007/Sed-and-Awk-101-Hacks
- https://github.com/anzhihe/learning/blob/master/shell/book/Sed-and-Awk-101-Hacks.pdf
- https://jimmysong.io/linux-practice/books/sed_and_awk_101_hacks_chinese_edition.pdf
Linux 设备驱动:https://lwn.net/Kernel/LDD3/
- learning perl, 8th edition/perl语言入门
- Intermediate Perl, 2nd Edition
- mastering perl 2nd edition
- modern perl:http://modernperlbooks.com/books/modern_perl_2016/index.html
- Perl One-Liners: 130 programs that get things done 2014
- Perl one-liners cookbook 2021
- Think Perl 6 how to think like a computerscientist 2017
- perl官网资源:https://learn.perl.org/
- perl在线教程-runoob:https://www.runoob.com/perl/perl-tutorial.html
- Unix & Perl Primer for Biologists:http://korflab.ucdavis.edu/unix_and_Perl/
- 明尼苏达大学2011年perl课程:https://msi.umn.edu/~blynch/tutorial/perl.pdf
- 薛宇生信课程(部分perl程序):http://xue.biocuckoo.org/course/
reshape:http://had.co.nz/reshape/
https://cran.r-project.org/web/packages/reshape2/index.html
ggvis可视化:https://ggvis.rstudio.com/
shiny的UI进阶设计:https://unleash-shiny.rinterface.com/
shiny和SQL数据库:https://bookdown.org/msharkey3434/ShinyDB_Book/
R, plotly, shinyR, plotly和shiny:https://plotly-r.com/
数据分析残卷:https://bookdown.org/yufree/datadown/
bookdown:https://bookdown.org/
http://cran.r-project.org/doc/contrib/Short-refcard.pdf
RStudio Cheatsheets:https://www.rstudio.com/resources/cheatsheets/
R函数在线参考文档:https://rdrr.io/
- Statistical tools for high-throughput data analysis:http://www.sthda.com/english/
- R语言与统计生物信息学:
- R Bioinformatics Cookbook,使用 R 和 Bioconductor 执行 RNAseq、基因组学、数据可视化和生物信息学分析:https://www.packtpub.com/product/r-bioinformatics-cookbook/9781789950694
- Bioconductor课程:http://www.bioconductor.org/help/course-materials/
- 斯坦福的Bioconductor课程:https://web.stanford.edu/class/bios221/about.html
- Biostars的R专题:https://www.biostars.org/t/R/
- R编程:https://www.youtube.com/c/RProgrammingDDS
- 【生信技能树】生信人应该这样学R语言:https://www.bilibili.com/video/av25643438
- 【生信技能树】公共数据库挖掘实例(基于R语言):https://www.bilibili.com/video/av37568990
- R语言入门生信应用基础课程:https://study.163.com/course/courseMain.htm?courseId=1209044861
- R语言入门数据分析:https://ke.qq.com/course/366588
- 生物信息学入门基础讲座的R部分:https://ke.qq.com/course/270841
- PlottinginRforBiologists:https://marianattestad.com/blog
- 生信菜鸟团R主题:http://www.bio-info-trainee.com/tag/r
- Biocondctor中文:http://www.biotrainee.com/forum-148-1.html
- R 的shiny交互网页:http://www.biotrainee.com/forum-149-1.html
- 生信技能树论坛:http://www.biotrainee.com/forum.php?mod=forumdisplay&fid=39&filter=typeid&typeid=22
- python Bioinformatics Project:https://www.youtube.com/playlist?list=PLtqF5YXg7GLlQJUv9XJ3RWdd5VYGwBHrP
- Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis:https://www.youtube.com/watch?v=jBlTQjcKuaY
- 莫烦Python:https://mofanpy.com/
- Tiny Python Projects:https://www.youtube.com/user/kyclark/
- Python Dash(plotly,Cytoscape):https://www.youtube.com/c/CharmingData/
Python官方文档中文:https://docs.python.org/zh-cn/3/library/2to3.html
python2到3转换:https://python2to3.com/
- pandas学习书籍:https://pandas.pydata.org/
- python与生物信息:https://yangming6863.gitbook.io/python-bioinformatics/
Python分析时间序列:https://www.youtube.com/playlist?list=PLPoT1dtYIkTV8SiV-1Qxt8Di2x5Cf3cCg
PyCharm:https://www.jetbrains.com/pycharm/
Anaconda:https://www.anaconda.com/products/individual
Miniconda:https://docs.conda.io/en/latest/miniconda.html
jupyter Notebook:https://jupyter.org/
Python Extension Packages for Windows - Christoph Gohlke:https://www.lfd.uci.edu/~gohlke/pythonlibs/
The Python Package Index (PyPI):https://pypi.org/
anaconda扩展包:https://anaconda.org/anaconda/python