501Y.V2 is not downsampled much now, which means it gives a pretty good view of where the variant has spread. Shown in large dots here are the clusters in Mayotte, the French territory off the coast of Africa (yellow circle near Africa).
Zooming in on 501.V2 a bit & filtering to Europe we can again see the Mayotte clusters (turquoise, as they are part of France), plus other clusters, for example in Belgium & the Netherlands.
4/7
501Y.V3 (P.1) has no downsampling so we can also see a good view of how it's spread.
The larger yellow clusters below are from Italy and Belgium.
📅CoVariants.org is updated with data from 2 March📅, as well as a very exciting new change:
Variants & mutations are now separated & clearly labelled - & each Variant of Concern has it's own page & data! 🎉
1/8
A new, improved left-menu now clearly indicates whether a page is concerned with a Variant (collection of mutations in one part of the tree) or a Mutation (one change, could be in many places on the tree).
Updated naming helps, too!
And menus collapse to keep things tidy.
2/8
And to help you find what you're looking for - a table to help you link up nomenclature!! 🎉
A lot of people have asked for this - it's not yet beautiful but it's already hopefully useful.
And you can go straight to the CoV-Lineages reports on the 3 main VoCs, too!
While not downplaying our current careful situation, I think we've got a lot to be optimistic about in 2021, if we can think globally 🌍 & act appropriately 💉😷
On conspiracy theories:
"Unfortunately, conspiracy theories have become very dominant in the pandemic. I can understand: [they often] provide much simpler explanations. We scientists should learn from this, to make what we say more accessible and understandable."
2/5
On mutations:
"If many people have already been infected, it is an advantage for a virus [to evade] this immunity. A year ago that would not have been of any use to the virus. But now... we just have to be aware that the pandemic is not static. It is constantly changing."
3/5
📅CoVariants.org is now updated with data up to the 18th Feb! 📅
Plus! A new mutation has been added 😉
And we've had another few neat feature tweaks thanks to some great contributors!
1/6
Enough recent data has come through to push the graphs to the next 2-week mark (they're plotted by sequences per 2-week period to help avoid weekly jitters), so the most recent data point is the 8th Feb now (covering the period two weeks after this).
2/6
Linking with our recent preprint on the S:Q677 variants, S:Q677 is now included on CoVariants!
We can particularly see 677 showing up clearly in the USA 'Per Country' graphs.
Tweets haven't been happening as times get busy, but CoVariants.org is now updated to data from 15 Feb! Focal builds are in the oven 🥖
This update also includes some neat new improvements - let's take a quick look!
1/4
Thanks to @jamesscottbrown, pages are now a little tidier, with the link icons placed after the links!
Thanks to a suggestion by @theosanderson the proportion of 'other' variants on the 'Per Country' page are now grey - easier to see and label!
2/4
@ivan_aksamentov has helped greatly improve the 'Per Variants' page! Tool-tip legends now show the lines so you can see the difference between solid & dashed!
And you can now select what kind or order you'd like the legend to show - frequency or country!
We found the same #SARSCoV2 mutation at position 677 in Spike has appeared at least 7 times in US-focused clusters in the past few months. What have we seen, & what does it mean?
Sparked by @macroliter & @DDomman independently spotting a rise in Q677P mutants in New Mexico & Louisiana, we teamed up & started investigating!
We noticed an increase in both Q677H and Q677P mutants around the world and within the USA, in particular since autumn 2020.
2/17
On a S:Q677-focused Nextstrain build, it quickly became apparent that there were multiple separate branches where Q677 mutants had arisen independently. We focused in on those in the USA.
It's #WomenInSTEM day today! 👩🏻💻👩🏾⚕️👩🏿🎓👩🏽🔬
I'm terrified of making lists of Twitter names as I know I'll leave someone off.
But I want to express how absolutely inspired I have been by the many brilliant women I've had the opportunity to work with this year & throughout my career!🎉
I absolutely remember how important it was (and is!) to be able to see myself in women who were in positions I aimed to achieve. Representation matters *so much.*
It helps to break down the expectations & stereotypes we often unknowingly internalise & realise what's possible!
Just 1 anecdote:
The first time I heard a brilliant women scientist whom I admired matter-of-factly state that she was looking forward both to the conference 🗒️ /and/ to shoe-shopping 👠 in the city it was in was *a revelation* for me. 🤯