For the last three years, I’ve worked with @richardneher and @trvrb to develop models to make long-term forecasts of seasonal influenza evolution. Our results are now available in eLife (https://t.co/irvkVyZ17Z) and summarized on our blog (https://t.co/0mdzC7qE7I).
I am so grateful to have spent my PhD in @trvrb's lab and the scientific community of Seattle. I couldn't have asked for better lab mates or congratulatory treats than these.
@joshpowellphd @richardneher@trvrb Thank you! Social distancing will most likely introduce a lot of randomness to which clades dominate in the next season (such as it is). The most recent sequences are all A1b/94N, but these are all from Cambodia (https://t.co/Fa9Pcwl99p).
For the last three years, I’ve worked with @richardneher and @trvrb to develop models to make long-term forecasts of seasonal influenza evolution. Our results are now available in eLife (https://t.co/irvkVyZ17Z) and summarized on our blog (https://t.co/0mdzC7qE7I).
For more about the context of our forecasting efforts, check out the excellent insight article written by @aperofsky and @swientist (https://t.co/Upt8bS4OR7).
In a little over a year, https://t.co/djxCeBYNr4 went from an idea in @AdamDingens’s mind to a prototype for @jeffrey_heer’s data viz class last spring by @khrystyna_north, @alliblk, Sarah Hilton, and me, to publication in JOSS and regular use by @jbloom_lab.
Our paper describing ten recommendations for supporting open pathogen genomic analysis in public health is out today in Nature Medicine! https://t.co/miZ9fTuWmZ