Very excited to share our progress in deep neural networks that reconstruct phylogenetic trees! Outstanding work by @lblassel.bsky.social
17.10.2025 07:14 — 👍 3 🔁 0 💬 0 📌 0
Gene flow can reveal ghost lineages
Abstract. Ghost species, encompassing extinct, unknown, and unsampled taxa, vastly outnumber those typically included in phylogenetic analyses. This hidden
Here, the potential of horizontal gene transfer detection methods were explored, based on phylogenies, to detect & quantify ghost diversity. What did they find? Read the full paper to find out (2/2)👇🧪🌍
doi.org/10.1093/evol...
@bastien-boussau.bsky.social
@damdevienne.bsky.social
19.09.2025 10:01 — 👍 5 🔁 3 💬 0 📌 0
We are excited to share GPN-Star, a cost-effective, biologically grounded genomic language modeling framework that achieves state-of-the-art performance across a wide range of variant effect prediction tasks relevant to human genetics.
www.biorxiv.org/content/10.1...
(1/n)
22.09.2025 05:29 — 👍 172 🔁 90 💬 4 📌 5
The call for abstract for LEGEND is now open:
legend2025.sciencesconf.org
It will close on September 22nd (oral presentations) and October 1st (posters).
Send us your best work on Machine Learning for Evolutionary Genomics and come discuss it with us in the French Alps next December!
02.09.2025 06:51 — 👍 3 🔁 3 💬 0 📌 0
Registration is now open!
The 580€ include housing and all meals.
We will close on October 17th or when reaching 80 participants.
18.06.2025 07:22 — 👍 4 🔁 4 💬 0 📌 0
Very happy to see this finally published! Lots of exciting work to do to follow up on this.
13.03.2025 09:19 — 👍 4 🔁 0 💬 0 📌 0
A legendary being holds a phylogenetic tree in the palm of their hand, with snowy mountains in the background.
The next LEGEND conference on machine learning for evolutionary genomics will be in Aussois (French Alps) between December 8th and 12th.
Mark your calendars and make sure your best work is ready next September when the call for abstracts opens 🙂
legend2025.sciencesconf.org
24.02.2025 08:58 — 👍 8 🔁 4 💬 1 📌 2
X account deactivated!
22.01.2025 13:44 — 👍 3 🔁 1 💬 0 📌 0
Phylogeneticist and evolutionary biologist. Research fellow at UCL Biosciences | Communications Officer for @systassn.bsky.social
A LLN - large language Nathan - (RL, RLHF, society, robotics), athlete, yogi, chef
Writes http://interconnects.ai
At Ai2 via HuggingFace, Berkeley, and normal places
Biomedical Data Science Center Director @CHUV. Professor at @UNIL and @EPFL. AI, ML, and statistical learning for high-dimensional (single-cell/spatial) data in clinical and translational medicine. Interdisciplinary scientist passionate about data.
R advocate #rstats | PhD @CHUVLausanne @unil | Immunology, Immunotherapy, Single-Cell RNAseq, Spatial Transcriptomics, Statistics and Machine Learning. 📷⛸️🏔️
I treat every #singleCell gently. | PhD in Comp Bio at CHUV, Lausanne #OpenScience #SpatialTranscriptomics
Statistician,Mother,Prof,Grandmother(she/her)🇫🇷🇵🇹🇺🇸🧪.
🖋️with @wkhuber.bsky.social:Modern Statistics for Modern Biology (https://www.huber.embl.de/msmb/) #stats,#rstats.OSS,arXiv, microbial ecology,cytof,multi-omics,Bioconductor:phyloseq, DADA2
Dedicated to drug discovery, enthralled by science. 5 kids. She. SAB Recursion. Founder SyzOnc. Lab at Broad Institute. Opinions my own.
Associate Professor of Biostatistics and Biomedical Engineering at Johns Hopkins. stephaniehicks.com
Genetics, bioinformatics, comp bio, statistics, data science, open source, open science!
Statistician, Computational Biologist, R | Bioconductor. Love stats and ML. https://www.huber.embl.de
Textbook: Modern Statistics for Modern Biology https://www.huber.embl.de/msmb/ (with @sherlockpholmes.bsky.social)
Bren Professor of Computational Biology @Caltech.edu. Blog at http://liorpachter.wordpress.com. Posts represent my views, not my employer's. #methodsmatter
Inter-dimensional cancer biologist. Director of the @genomescience.bsky.social at @umbaltimore.bsky.social.
Ray and Stephanie Lane Professor of Computational Biology at CMU School of Computer Science. https://www.cs.cmu.edu/~jianma/
Computational biology, machine learning, AI, RNA, cancer genomics. My views are my own. https://www.morrislab.ai
He/him/his
Associate Professor of CS @ University of Maryland. Proud Rust advocate! I ♥ science & compiled, statically-typed programming languages! Views are my own. Tech stack: https://github.com/rob-p/tech-stack.
Computational Biologist. Mostly in English, sometimes in French. #NoPasaran
Resident panhandler, http://trichelab.org/
Posts may contain trace quantities of blood🩸, chromatin 🧬, and stats 🧮
CV: https://scholar.google.com/citations?user=AOoIO74AAAAJ
Views expressed are my own (but for the right price they can be yours!)
Chair of the Department of Biomedical Informatics at the University of Colorado School of Medicine. Research: transcriptomics, machine learning, public data - pick two of three. He/him. Views mine, not employer's.
Bioinformatics and Computational Biology. Australia
