(This post is the first in a small series compiled during my visit to Segata Lab in Trento, Italy) A provocative title I know, but as a young scientist venturing into the field of microbiology my concern about this is increasing to the point of now writing this blogpost. Sequencing data are inherently relative [Lovén et […]
Category Archives: R
ampvis2: The bread and butter of our amplicon analyses: amp_heatmap!
(This post is part of a series of ongoing posts about selected ampvis2 features) Now that the ampvis2 R package has got its own paper on bioRxiv it is a good time to also write a small blog post about our beloved heatmap, which Albertsen lab and the Center for Microbial Communities use in practically every […]
ampvis2: A guide to ordination and how to use amp_ordinate in R
(This post is part of a series of ongoing posts about selected ampvis2 features) A common way for microbial ecologists to compare the microbial communities of different samples is by using ordination methods. These methods seek to highlight differences between samples based on their microbial community composition. By plotting samples as points in an x/y-plane, […]
Starting from scratch – building a package in R
For the first time, I am going to share something more related to my master thesis. When I started this thesis, I did not know how to use R. In order to learn R, I started using DataCamp, which is a series of interactive courses. You can start from scratch and build your skills step […]