We also discuss potential ways for optimizing phylodynamic analysis settings and more efficiently traversing the tree space. If interested, please check our preprint out! n/n
(More tree space animations of each dataset we analyzed are available at https://t.co/KF0Aadv9wn.)
Excited to share my new preprint developed with @ematsen, in collaboration with Marius Brusselmans, Luiz Carvalho, @suchard_group, and @GuyBaele, on the biological causes and impacts of tree space ruggedness in phylodynamic inference. 1/ https://t.co/X08IZlGXtB
Nonetheless, some global parameters governed by general tree shape are quite robust to the sampling problems. E.g., the demographic trajectories are barely distinguishable among the chains, meaning that short chains would be sufficient if such parameter is of primary interest. 6/
Excited for the Mayr symposium tomorrow at #evolution2023, where I'll be presenting two PhD works on phylodynamics (https://t.co/fH4AIjpDjA and https://t.co/Yla5NfmqCm) collaborated with and mentored by Mike May, Bruce Rannala, and @B_r_i_a_n_Moore. Looking forward to seeing you!
Super important paper on model testing and birth death process models with sampling through time by @mikeryanmay & @crothfels -https://t.co/yZ7wJhEico
Joining the published chapters (https://t.co/Yla5NfmqCm; https://t.co/Zx9bSYcUD9), my first dissertation chapter is now out in PNAS https://t.co/fH4AIjpDjA! Really grateful to my fantastic coauthors and mentors Mike May, Bruce Rannala, and @B_r_i_a_n_Moore!! Please check it out!
Very proud (and excited) about this new manuscript by my student @jsigao, former student Mike May, and UC Davis colleague @BruceRannala!
https://t.co/iizXvXdrwy
Want to improve your phylodynamic analyses?
Check out this cool new utility, PrioriTree, developed by my student @jsigao, former student Mike May, and UC Davis colleague @BruceRannala!
https://t.co/CCpPgL68QW
Very excited about (and proud of) a new paper describing more realistic models for inferring the geographic history of disease outbreaks written by my wonderful student @jsigao, former (and fantastic) student Mike May, and UCD colleague @BruceRannala!
https://t.co/QXeJ2PdtW2
More realistic phylodynamic models improve inferences on the geographic history of disease outbreaks!
Very excited about a new paper by my student @jsigao, former student Mike May, and UC Davis colleague @BruceRannala!
https://t.co/Hk3mM4WuXL
Super excited about our new paper describing the dynamics of geographic spread of SARS-CoV-2 virus and the efficacy of intervention measures co-authored with @jsigao (student) May (former student) and fellow Canadian Bayesian, @BruceRannala!! https://t.co/1z7IB3uabk
@afmagee42 That's ironic; it almost should be the exact opposite as it has been pointed out many times before (e.g., Lemmon and Moriarty 2004; Huelsenbeck and Rannala 2004) that a underparameterized model may lead to inflated posterior support (and the more data, the stronger).
Super excited about a new paper with Mike May describing a Bayesian method for detecting the impact of a discrete trait on rates of continuous-character evolution (even when those rates may vary for other reasons)! https://t.co/HmMLVgHsfR
UC Davis Center for Population Biology postdoctoral fellowship. Wonderful place with wonderful colleagues! @PopBioUCD Please RT https://t.co/AMkwhemXen