Helpful teaching/ self-learning web content
This page contains a collection of online teaching material, which can also be used for self-studies. Note that the web pages are only suggestions and we do not take any responsibility for the content.Visualizations of Statistical concepts
- https://seeing-theory.brown.edu/index.html#firstPage
A website, designed by Daniel Kunin et al., which explains basic concepts of probability and statistics by virtual experiments and interactive visualizations.
- https://enchufa2.shinyapps.io/ls-springs/
A shiny web app, which visualizes the least-squares solution for linear regression and prime component analysis by considering the errors as springs attached to data points and regression line.
Online Courses
- https://nbis-reproducible-research.readthedocs.io/en/latest/
Course material from SciLifeLab in Uppsala about tools (Git, Conda, Snakemake, Rmarkdown, Jupyter, Docker, Singularity) for reproducible research projects.
R packages
- https://easystats.github.io/easystats/
A collection of R packages, which eases the evaluation, visualization, and reporting of statistical results. The collection contains the packages report, correlation, modelbased, bayestestR, parameters, performance, effectsize, insight, and see..
- https://github.com/ropensci/plotly
Plotly creates interactive plots or transforms ggplots into interactive plots.
- https://exts.ggplot2.tidyverse.org/gallery/
A gallery of >80 ggplot2 extension packages..
Online R material and books
Cheatsheets- https://www.rstudio.com/resources/cheatsheets/
A huge collection of R cheat sheets.
- https://r4ds.had.co.nz/
“R for Data Science” by Hadley Wickham and Garret Grolemund. A basic introduction into the use of R for Data Science.
- https://adv-r.hadley.nz/ “Advanced R” by Hadley Wickham explains R with a programming-orientated perspective.
- https://r-pkgs.org/
“R Packages” by Hadley Wickham and Jenny Bryan explains everything you need to know when writing your own R package..
- https://www.r-graph-gallery.com/
A gallery of plotting ideas and the according R code, which is sorted by purpose.
- https://ggplot2-book.org/
“ggplot2: Elegant Graphics for Data Analysis” by Hadley Wickham. A detailed introduction to ggplot2 graphics.
- https://clauswilke.com/dataviz//
“Fundamentals of Data Visualization” by Claus O. Wilke about properties of good scientific graphics, but without code examples.
- https://socviz.co/index.html
“Data Visualization - A practical introduction” by Kieran Healy. A practical hands-on introduction into data visualization with R and ggplot2, containing lots of code examples.
- https://www.r-bloggers.com/2021/10/multiple-linear-regression-made-simple/
A very complete tutorial for multiple linear regression in R
Youtube Channels and Videos
Channels- https://www.youtube.com/channel/UC4LDcBka39NidOF1y_65FFw
The MoBPS channel. - https://www.youtube.com/channel/UCXuX-kQ1TbKHWeB75NgmhlA
“Genomics Boot Camp” by Gábor Mészáros, which gives Masters level solutions for applications in agrigenomics.
- https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw
“3Blue1Brown” by Grant Sanderson makes math and statistics more understandable.
- https://www.youtube.com/c/joshstarmer
StatQuest with Josh Stamer" easy explainations of statistical concepts
- https://www.youtube.com/watch?v=lVG04dAAyvY
Illumina Bead Chips
- https://www.youtube.com/watch?v=fCd6B5HRaZ8&t=18s
Illumina Sequencing by Synthesis.
- https://www.youtube.com/watch?v=_lD8JyAbwEo
PacBio Sequencing
- https://www.youtube.com/watch?v=RcP85JHLmnI
Nanopore Sequencing