Culture Move: new preprint on cell migration

We have a new preprint out. This is a short post to describe our findings and highlight some of the software I developed for analysing cell migration and cell shape data. Intracellular nanovesicles mediate integrin trafficking during cell migration bioRxiv doi: 10.1101/2020.08.19.257287 It is mainly the work of Gabrielle Larocque with help from Penny La-Borde […]

Take Off: preprints on COVID-19

I’m posting this the morning after generating a graph, and it’s already out-of-date. During the worldwide COVID-19 outbreak, preprint servers such as bioRxiv and medRxiv have again shown that they are the most effective way of communicating science rapidly. A collection of all papers on COVID-19 deposited on these two servers is available here, and […]

Ten Years vs The Spread: Calculating publication lag times in R

There have been several posts on this site about publication lag times. You can read them here. Lag times are the delays in the dissemination of scientific data introduced by the process of publishing the paper in a journal. Nowadays, your paper can be online in a few hours using a preprint server. However, this […]

Scoop: some practical advice

So quantixed occasionally gets correspondence from other researchers asking for advice. A recent email came from someone who had been “scooped”. What should they do? Before we get into this topic we have to define what we mean by being scooped. In the most straightforward sense being scooped means that an article appeared online before […]

The Digital Cell: Workflow

The future of cell biology, even for small labs, is quantitative and computational. What does this mean and what should it look like? My group is not there yet, but in this post I’ll describe where we are heading. The graphic below shows my current view of the ideal workflow for my lab. The graphic is pretty self-explanatory, but […]