Ecological and Evolutionary Genomics 2021 #PandemicVersion
This is the space where all lecture/lab materials will be placed.
You can also access the syllabus and schedule here: https://drive.google.com/file/d/1XK9onhq1E_ZiBEFA1bCQ2Dw_XZij0LWc/view?usp=sharing
Lecture 1: Intro to basic DNA-RNA-Protein & History available upon request [Files too large to host here]
Lecture 2: Intro to SCC link: https://bostonu.zoom.us/rec/share/w1pL6n5MYcu_smNmsY9L1U5EMGnqde1uyC2vcZage4yWhGwpoRExWPcXx7Q__Nwe.a5JNIXNsrcmK1yIE?startTime=1612275832000 Linux cheat sheet: http://scv.bu.edu/documents/Linux_SCC_CheatSheet.pdf SCC cheat sheet: http://scv.bu.edu/documents/SCC_CheatSheet.pdf If you are still looking for more practice in Linux: http://swcarpentry.github.io/shell-novice/
Lecture 3: Going over Linux HW and Introduction to RStudio: https://bostonu.zoom.us/rec/share/SqkgjZNyPGvaphEuOc_vHraD2qUun2d4nSuHxm0fvrx787poBifCgcBPnZMM5A.aXMz38RSiJefp5zi (Access Password: 76accD?P) If you are still looking for more practice in R: http://swcarpentry.github.io/r-novice-gapminder/ Try chapters 1-7 I also recommend swirl for people who are really new to R: https://swirlstats.com/ Here are some additional short videos from a Harvard course on R: https://www.youtube.com/playlist?list=PLGuncvBacIacY7g42iJRcIkhgnzKTjKbC
Lecture 4: Introduction to Git using RStudio interface: https://bostonu.zoom.us/rec/share/WKwCO0In9lsdV_PPJdNdV4-68OJnL7c-BEfDVZSNP8F2i5LG-0i2vWQ--hd5I9HK.9Rmav3Fag9wmfyas?startTime=1612879440000 (Access Password: acyS$zf9)
Lecture 5: Introduction to RMarkdown (No video available) https://rstudio.com/wp-content/uploads/2015/02/rmarkdown-cheatsheet.pdf