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We have a new paper out! You can access it here.

I was searching for the excitation and emission spectra for mNeonGreen. I was able to find an image, but no values for the spectra.

I recently gave a talk at a retreat for new PIs working at QMUL. My talk was focussed on tips for getting started, i.e. the nitty gritty of running an efficient lab. It was a mix of things I’ve been told, worked out for myself or that I’d learned the hard way. PIs are expected to be able to do lots of things that can be full-time jobs in themselves.

I have just finished reading this excellent book, Statistics done wrong: a woefully complete guide by Alex Reinhart . I’d recommend it to anyone interested in quantitative biology and particularly to PhD students starting out in biomedical science.

I put a recent code snippet put up on the IgorExchange. It’s a simple procedure for averaging a set of 1D waves and putting the results in a new wave. The difference between this code and Average Waves.ipf (which ships with Igor) is that this function takes the average of all points in the wave and places this single value in a new wave. You can specify whether the mean or median is used for the average.

This is a long post about Journal Impact Factors. Thanks to Stephen Curry for encouraging me to post this.

I saw this great tweet (fairly) recently: I thought this was such a great explanation of when to submit your paper. It reminded me of a diagram that I sketched out when talking to a student in my lab about a paper we were writing. I was trying to explain why we don’t exaggerate our findings. And conversely why we don’t undersell our results either. I replotted it below:

We were asked to write a Preview piece for Developmental Cell. Two interesting papers which deal with the insertion of amphipathic helices in membranes to influence membrane curvature during endocytosis were scheduled for publication and the journal wanted some “front matter” to promote them. Our Preview is paywalled – sorry about that – but I can briefly tell you why these two papers are worth a read.

Our most recent manuscript was almost ready for submission. We were planning to send it to an open access journal. It was then that I had the thought: how many papers in the reference list are freely available? It somehow didn’t make much sense to point readers towards papers that they might not be able to access. So, I wondered if there was a quick way to determine how papers in my reference list were open access.