In recent years, 16S rRNA gene amplicon sequencing has been widely adopted for analyzing microbial communities in drinking water. This has naturally lead to numerous publications relating to the drinking water microbiome. However, microbial analysis based on 16S rRNA gene sequencing is associated with inherent biases, and despite the popularity of the method within the field […]
Tag Archives: 16S rRNA
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 […]
Populating the tree-of-life
Hi everybody and welcome to my first blog post at Albertsen Lab. As a newly started PhD student, I have engaged myself with the simple, yet Herculean task of populating the tree-of-life. As most people are aware of, microorganisms are more or less inescapably present in all places of the world — no matter how […]
Can you beat our Nanopore read error correction? We hope so!
Tagging of individual molecules has been used as an effective consensus error-correction strategy for Illumina data (Kivioja et al 2011, Burke et al 2016, Zhang et al 2016) and the principle is similar to the circular consensus sequencing strategy used to generate consensus reads with error rate of < 1 % on the PacBio (Travers et […]