Ryan Seamus McGee (@rs_mcgee) 's Twitter Profile
Ryan Seamus McGee

@rs_mcgee

Postdoc @WUSTL PhD @UW. How does selection shape info in genomes, networks, collectives? Eco-Evo-Info theory, CS, Neuro, Dynamics, Epi, Feathered dinos.

ID: 1199048606

calendar_today20-02-2013 00:08:00

197 Tweet

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Trevor Bedford (@trvrb) 's Twitter Profile Photo

This plots Rt as a function of intrinsic transmissibility and immune escape. With high levels of population immunity, a hypothetical Omicron virus with modest R0 but partial immune escape will spread faster than a Delta-like virus with high R0 but little immune escape. 9/15

This plots Rt as a function of intrinsic transmissibility and immune escape. With high levels of population immunity, a hypothetical Omicron virus with modest R0 but partial immune escape will spread faster than a Delta-like virus with high R0 but little immune escape. 9/15
Trevor Bedford (@trvrb) 's Twitter Profile Photo

Following up here with speculative estimates of the rate of spread of Omicron and a stab at how to apportion this rapid rate of spread between intrinsic transmissibility and immune escape. 1/18

Martin Rosvall (@m_rosvall) 's Twitter Profile Photo

Major release: Infomap 2.0 with regularized map equation – reveal flow-based communities in weighted, directed networks with incomplete data without overfitting. pip install infomap or git clone [email protected]:mapequation/infomap.git cd infomap make -j

Major release: Infomap 2.0 with regularized map equation – reveal flow-based communities in weighted, directed networks with incomplete data without overfitting.

pip install infomap

or 

git clone git@github.com:mapequation/infomap.git
cd infomap
make -j
Michael P.H. Stumpf (@theosysbio) 's Twitter Profile Photo

7. Stochastic and non-linear dynamics: these fields have often developed independently from each other. But most interesting problems on biology (and beyond) are probably subject to both non-linearity and stochasticity 8/9

Trevor Bedford (@trvrb) 's Twitter Profile Photo

These epidemics have proceeded in a similar fashion across states with initial rapid exponential growth that slowed as epidemics grew in size. It appears that states are largely on the same curve, just some are farther ahead on this curve compared to others. 4/9

These epidemics have proceeded in a similar fashion across states with initial rapid exponential growth that slowed as epidemics grew in size. It appears that states are largely on the same curve, just some are farther ahead on this curve compared to others. 4/9
Trevor Bedford (@trvrb) 's Twitter Profile Photo

Assuming between a 1 in 4 and 1 in 5 case reporting rate suggests that between 18% and 23% of the country was infected by Omicron by Jan 17, with the large majority infected in a span of just ~4 weeks. 6/9 x.com/trvrb/status/1…

Trevor Bedford (@trvrb) 's Twitter Profile Photo

Having ~40% of the population infected by a single pathogen in the span of 8 weeks is remarkable and I can't think of an obvious modern precedent. Flu seasons generally have perhaps 10% infected in the span of 16 weeks. 8/9

T. Ryan Gregory 🇨🇦 (@tryangregory) 's Twitter Profile Photo

Let's say you had a species of blue beetles. They do quite well in a certain environment, but then birds start noticing them and they become a major food source. A mutant green form happens to arise and it is not noticed by the birds and does much better than the blue form. 🧵

@jevinwest (@jevinwest) 's Twitter Profile Photo

Announcing a new tool for exploring federal grant data: GrantExplorer.org. With support from @Moorefound, Cole Chamberlin, Jason P & I built a tool for answering questions like, how much U.S. National Science Foundation funding has supported “data science”? Feedback welcome. grantexplorer.org

Announcing a new tool for exploring federal grant data: GrantExplorer.org. With support from @Moorefound, Cole Chamberlin, <a href="/jportenoy/">Jason P</a> &amp; I built a tool for answering questions like, how much <a href="/NSF/">U.S. National Science Foundation</a> funding has supported “data science”? Feedback welcome. grantexplorer.org
Colin Fraser (@colin_fraser) 's Twitter Profile Photo

Someone on here (I forget who I'm sorry) linked to this paper and it derives this statistical identity that is completely mind blowing and I want to tweet about it. bias = data quality × data quantity × problem difficulty statistics.fas.harvard.edu/files/statisti…

Someone on here (I forget who I'm sorry) linked to this paper and it derives this statistical identity that is completely mind blowing and I want to tweet about it.

bias = data quality × data quantity × problem difficulty

statistics.fas.harvard.edu/files/statisti…
🎵 Tim Blais 👨🏻‍🔬 (@acapellascience) 's Twitter Profile Photo

someone said that trees aren't a thing phylogenetically and i was like "oh sure palm trees etc must be unrelated" BUT NO your standard OAK is more closely related to a DANDELION than to a GIANT REDEOOD trees are a CONVERGENT GROWTH HABIT, they're the crab of the plant world

someone said that trees aren't a thing phylogenetically and i was like "oh sure palm trees etc must be unrelated"

BUT NO

your standard OAK is more closely related to a DANDELION than to a GIANT REDEOOD

trees are a CONVERGENT GROWTH HABIT, they're the crab of the plant world
Benjamin Kerr (@evokerr) 's Twitter Profile Photo

How does exposure to different hosts affect evolution of bacterial genes on mobile elements? In Molecular Biology and Evolution, Olivia Kosterlitz et al use barcode methods to compare adaptive landscapes across species & show alignment enables a form of adaptive “crowdsourcing”🧵academic.oup.com/mbe/article/40…

Mikhail Tikhonov (@mikhtikh) 's Twitter Profile Photo

Now out in MBE! Fitness assays often involve barcoding, but barcode-dependent amplification bias can cause fitness misestimates. We present a method to detect/remove such bias with no changes to the exp. protocol. doi.org/10.1093/molbev… Ryan Seamus McGee Grant Kinsler Dmitri Petrov 1/2