As the COVID-19 pandemic continues, different countries are experiencing various restrictions including lockdowns. Some of these restrictions alter our ability to do science: by hindering lab access or taking time away from researchers for homeschooling. So, what impact has the pandemic had on scientific output? One way to look at this – for biology – […]
Tag: Rstats
Os Mutantes: an implausible naming system for SARS-CoV-2 mutants
The scientific response to the COVID-19 pandemic has been astounding. Aside from efforts to generate vaccines, the genomic surveillance of the virus has been truly remarkable. For example, the nextstrain project has sequence many SARS-CoV-2 genomes. In fact, the rapid identification of multiple new strains and mutations by diverse groups of scientists has resulted in […]
Target: monitoring a running goal in R
Many running races and events have been cancelled or disrupted due to the pandemic. To fill the void, I’ve been taking on Garmin’s “Challenges”. In Garmin Connect, you can accept a challenge set by Garmin (I think users can challenge each other too). Completion of these challenges gives the user points, which I’ve become somewhat […]
Color Bars
Here is a fun post about using colour palettes in R. It starts with a computer game… After a few years of sporadically playing Super Mario World 2 – Yoshi’s Island on the Retropie, I made it to the final level. In the background, as Bowser approached, I noticed that those coloured bars in the […]
Represent: geographical breakdown of a virtual seminar series
During the pandemic, many virtual seminar programmes have popped up. One series, “Motors in Quarantine“, has been very successful. It’s organised by my colleagues Anne Straube, Alex Zwetsloot and Huong Vu. Anne wanted to know if attendees of the seminar series were a fair representation of the field. We know the geographical location of the […]
Running Free: Calculating Efficiency Factor in R
Joe Friel reposted an article earlier this year on Efficiency Factor in running. Efficiency Factor (EF) can be viewed in Training Peaks software and he describes how it is calculated. This post describes how I went about calculating EF in R using a single gpx file. What is Efficiency Factor (EF)? Essentially, EF is the […]
Say It Ain’t So: using Weezer album cover colours in R
I’m a long-term fan of Weezer. Such was the brilliance of their first two albums that I have stuck with them through thick and thin. And dear me, there has been some very thin music. Nonetheless I own every album – thirteen of them. Among them are six albums entitled “Weezer”. These records are colloquially […]
Same Time Next Year: crunching PubMed data
I am giving a talk next week and wanted to update some plots from an old analysis that previously featured on quantixed. The question is: how long does it take for a paper get published? The answer is complex (as previously discussed on quantixed), but we can at least find out using data from PubMed […]
Screenager: screening times at bioRxiv
When a preprint is uploaded to bioRxiv, it undergoes screening before it appears online. How long does it take for Affiliates to screen preprints at bioRxiv? tl;dr I used R to look at bioRxiv screening times. Even though bioRxiv has expanded massively, screening happens quickly (in about 24 h). I am a bioRxiv Affiliate – […]
Get Better: R for absolute beginners
As part of the series on development of early career researchers in the lab, we spent three sessions over three weeks learning the basics of R. In my book “The Digital Cell”, I advocate R as the main number-crunching software but the R literacy in my lab is actually quite mixed. In order to know […]