# Blog posts

## All Possible NCBI Taxonomy Ranks

Published:

It was bothering me that nowhere on the NCBI website are all possible taxonomic ‘ranks’ actually described.

## Gentle introduction to nf-core/eager

Published:

I have written a tutorial in the form of a slideshow, which step-by-step introduces a new user to nf-core/eager

## pvclust Node Values In ggtree

Published:

I recently was using the R package pvclust to test the ‘robusticity’ of clusters in a microbiome-related clustering analysis. While pvclust provides it’s own plots via plot() on a pvclust object, this plots the dendrogram in base R. For readability and customisability reasons I prefer using the packages ggplot2 and ggtree for making my figures. However, I was having a hard time to extract the node uncertainty values from the pvclust object and integrate them into a generic R phylo object for plotting the dendrogram in ggtree.

## ‘Tidy’ Pop-Gen PCA plotting in R

Published:

Many people in the human population-genetics groups in my department at MPI-SHH use a propetiary Mac specific program to make their figures of PCAs (principle component analysis). Some of the members of these groups however do not have Macs and were struggling to recreate some of the plots their collegues were making.

## Updating a Github Pages Theme Through a Repo Merge

Published:

I am new to Git and Github, and so I am still very much learning on the fly. Today I noticed the original repository for the theme of this website had added updates, so I thought to apply them to my own repository.

## Sequin Submission to Genbank Tutorial

Published:

As I came to the end of my M.Sc. and writing the corresponding journal article, one thing I was aware of was that all previous papers on woolly mammoth mitchondrial genomes to NCBI’s GenBank database. To continue with this established ‘tradition’, I decided to investigate how to do this. Worringly, most people I spoke to didn’t have very positive views on this procdure, saying that it was complicated, error prone and badly documented and that it wasn’t worth my time. In fact, with a bit of help from the authors of some of the previous papers and with NCBI itself, the overall task ended up being easier than expected (admittedly after a considerable bit of trial and error).