Профиль

Reconciling fast Hepatitis B evolutionary rates with ancient co-divergence https://www.biorxiv.org/content/10.64898/2026.06.05.730483v1

Gill, @lemeylab.bsky.social et al. develop Bayesian infinite mixture models for phylogenetic inference, finding that infinite hidden Markov models best capture complex patterns in large datasets; they implement this framework in BEAST X. 🔗 doi.org/10.1093/molbev/msaf199 #evobio #molbio

Infinite Mixture Models for Improved Modeling of Across-Site Evolutionary VariationAbstract. Scientific studies in many areas of biology routinely employ evolutionary analyses based on inference of phylogenetic trees from molecular sequendoi.org

BEAST X v10.5.0 finally released – you can't just do beta releases forever. github.com/beast-dev/be... Details and instructions for installing on the BEAST website: beast.community

The OHDSI Collaborator Showcase is a chance to share your research with a global community passionate about real-world data, open science, and collaboration. Submit your abstract for a poster, demo or talk by July 1! 🌍📊 #OHDSI2025 #JoinTheJourney 🔗 https://ohdsi.org/2025-collaborator-showcase

Excited to share my new preprint developed with @matsen.bsky.social, in collaboration with Marius Brusselmans, Luiz Carvalho, @msuchard.bsky.social, and @guybaele.bsky.social, on the biological causes and impacts of tree space ruggedness in phylodynamic inference. 1/ www.biorxiv.org/content/10.1...

🚨 Calling all ATLAS users! As we continue to build an ATLAS roadmap, we ask for you to fill out Survey #2, which focuses on data sources & vocabularies. These features were discussed at our last community call (https://youtu.be/Mfi5N6NHdRA). Survey #2: https://forms.cloud.microsoft/r/NWjAG1gS33

Using administrative claims and EHR databases rates of benign tumors and thyroid #cancer were not different in 460,032 users of GLP-1RAs vs. Users of other glucose lowering agents #diabetes @hmkyale.bsky.social diabetesjournals.org/care/article...

OHDSI is on Bluesky! What is OHDSI? Glad you asked. OHDSI (Observational Health Data Sciences and Informatics) is a global community using open-source tools & real-world data to generate reliable, reproducible evidence that improves health outcomes. Get to know us and #JoinTheJourney! ohdsi.org

Our consortium's paper on Mpox in West Africa is finally out today: "Genomics reveals zoonotic and sustained human Mpox spread in West Africa" rdcu.be/emGKq. Extremely fortunately to get to work with such an exceptional team of African public health scientists, and our partners!

🚀 𝐏𝐡𝐃 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐲 𝐚𝐭 𝐈𝐦𝐩𝐞𝐫𝐢𝐚𝐥 Looking for my first PhD student 🔬 Project: 𝐈𝐦𝐩𝐚𝐜𝐭 𝐨𝐟 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐚𝐥, 𝐯𝐢𝐫𝐚𝐥, 𝐛𝐞𝐡𝐚𝐯𝐢𝐨𝐮𝐫𝐚𝐥 & 𝐩𝐬𝐲𝐜𝐡𝐨-𝐬𝐨𝐜𝐢𝐚𝐥 𝐞𝐱𝐩𝐨𝐬𝐮𝐫𝐞𝐬 𝐨𝐧 𝐡𝐞𝐚𝐥𝐭𝐡 Joint with LSHTM & UKHSA See links below. 📅 𝐃𝐞𝐚𝐝𝐥𝐢𝐧𝐞: 7 March 2024 📩 Questions? DM me! #PhD #HealthEquity #ImperialCollege

There is a new alternative to the MCC summary tree in BEAST X - the 'highest independent posterior sub-tree reconstruction' or HIPSTR tree. First implemented over 5 years ago (something distracted us from writing it up) we now have a preprint describing it: www.biorxiv.org/content/10.1...

HIPSTR: highest independent posterior subtree reconstruction in TreeAnnotator XIn Bayesian phylogenetic and phylodynamic studies it is common to summarise the posterior distribution of trees with a time-calibrated consensus phylogeny. While the maximum clade credibility (MCC) tr...eur02.safelinks.protection.outlook.com

Clinicians, your voice matters! 🩺 @JACCJournals & @US_FDA are teaming up to tackle urgent evidence gaps in cardiovascular care. Share the key questions you face in practice about FDA-regulated products and help shape the future of research. www.jacc.org/doi/10.1016/...

Preliminary report on genomic epidemiology of the 2024 H5N1 influenza A virus outbreak in U.S. cattle. Thanks to everyone who contributed to this and, of course, first and foremost the data producers and those involved in the response. virological.org/t/preliminar...

Preliminary report on genomic epidemiology of the 2024 H5N1 influenza A virus outbreak in U.S. cattle (Part 1 of 2)Due to length constraints on virological.org posts, we are splitting this report into two parts that should be read as a single report. This is Part 1, containing Background, Data, Methods, and Findi...virological.org

My colleagues and I have just posted a "Note about availability of #H5N1 2.3.4.4b consensus sequences from cattle and other species" on virological.org. Consensus genomes and metadata. virological.org/t/note-about...

Note about availability of H5N1 2.3.4.4b consensus sequences from cattle and other species:On Sunday, April 21st, 2024, “in the interest of public transparency and ensuring the scientific community has access to this information as quickly as possible to encourage disease research and devel...virological.org

I want to re-emphasize how critically important it will be to not repeat our mistake from the COVID-19 pandemic of letting an opaque organization with highly questionable governance be the main source for critical, publicly funded, genomic data for H5N1. www.science.org/content/arti...

The ‘invented persona’ behind a key pandemic databaseGISAID offers a safe space to post viral genomes. Peter Bogner, its perplexing creator and overseer, may be jeopardizing its futurewww.science.org

I love that the Department of Biostatistics at UCLA still has manual pencil sharpeners on the walls.... #statistics

New paper from "SEARCH" just landed! By sequencing 80k+ SARS2 genomes from San Diego & Baja, we looked at connectedness between waves since the start of the pandemic. Clear heterogeneity over time and very limited effect of the US-Mexico border 'closure'. t.co/AdtUN7VuKK