Luc Blassel
@lblassel.bsky.social
We’re very excited to finally share our latest work:
Phyloformer 2, a deep end-to-end phylogenetic reconstruction method: arxiv.org/abs/2510.12976
Using neural posterior estimation, it outperforms Phyloformer 1 and maximum-likelihood methods under simple and complex evolutionary models.
🧵1/17
Phyloformer 2, a deep end-to-end phylogenetic reconstruction method: arxiv.org/abs/2510.12976
Using neural posterior estimation, it outperforms Phyloformer 1 and maximum-likelihood methods under simple and complex evolutionary models.
🧵1/17
October 16, 2025 at 8:35 PM
We’re very excited to finally share our latest work:
Phyloformer 2, a deep end-to-end phylogenetic reconstruction method: arxiv.org/abs/2510.12976
Using neural posterior estimation, it outperforms Phyloformer 1 and maximum-likelihood methods under simple and complex evolutionary models.
🧵1/17
Phyloformer 2, a deep end-to-end phylogenetic reconstruction method: arxiv.org/abs/2510.12976
Using neural posterior estimation, it outperforms Phyloformer 1 and maximum-likelihood methods under simple and complex evolutionary models.
🧵1/17
Reposted by Luc Blassel
Our preprint on our new metagenomic HiFi assembler Alice is out 🥳 Based on a *new sketching method* (🧵1/6)
👉 Preprint www.biorxiv.org/content/10.1...
👉 Github github.com/rolandfaure/...
👉 Preprint www.biorxiv.org/content/10.1...
👉 Github github.com/rolandfaure/...
Alice: fast and haplotype-aware assembly of high-fidelity reads based on MSR sketching
We introduce Mapping-friendly Sequence Reduction (MSR) sketches, a sketching method for high-fidelity (HiFi) long reads, and Alice, an assembler that operates directly on these sketches. MSR produces ...
www.biorxiv.org
October 3, 2025 at 2:51 PM
Our preprint on our new metagenomic HiFi assembler Alice is out 🥳 Based on a *new sketching method* (🧵1/6)
👉 Preprint www.biorxiv.org/content/10.1...
👉 Github github.com/rolandfaure/...
👉 Preprint www.biorxiv.org/content/10.1...
👉 Github github.com/rolandfaure/...
Reposted by Luc Blassel
La vidéo sur notre projet de recherche est en ligne ! Merci encore à toute l'équipe d'animal pensant pour leur incroyable travail !
D’où viennent les fleurs ? lejournal.cnrs.fr/videos/dou-v...
D’où viennent les fleurs ? lejournal.cnrs.fr/videos/dou-v...
D’où viennent les fleurs ?
Les fleurs dominent le monde végétal, mais leur origine reste un mystère. Dans cette vidéo en partenariat avec Le Monde, des chercheurs du CNRS tentent de remonter à l’ancêtre commun de toutes les pla...
lejournal.cnrs.fr
May 28, 2025 at 3:51 PM
La vidéo sur notre projet de recherche est en ligne ! Merci encore à toute l'équipe d'animal pensant pour leur incroyable travail !
D’où viennent les fleurs ? lejournal.cnrs.fr/videos/dou-v...
D’où viennent les fleurs ? lejournal.cnrs.fr/videos/dou-v...
Reposted by Luc Blassel
All this work was done by Luca Nesterenko and
@lblassel.bsky.social , assisted by P. Veber, Bastien Boussau
and myself.
The code and data are available at github.com/lucanest/Phy...
Please share if you find this interesting, and we welcome your feedback :)
@lblassel.bsky.social , assisted by P. Veber, Bastien Boussau
and myself.
The code and data are available at github.com/lucanest/Phy...
Please share if you find this interesting, and we welcome your feedback :)
June 24, 2024 at 8:35 AM
All this work was done by Luca Nesterenko and
@lblassel.bsky.social , assisted by P. Veber, Bastien Boussau
and myself.
The code and data are available at github.com/lucanest/Phy...
Please share if you find this interesting, and we welcome your feedback :)
@lblassel.bsky.social , assisted by P. Veber, Bastien Boussau
and myself.
The code and data are available at github.com/lucanest/Phy...
Please share if you find this interesting, and we welcome your feedback :)
Reposted by Luc Blassel
We just released a preprint for Phyloformer, a likelihood-free inference method for phylogenetic reconstruction: biorxiv.org/content/10.1...
Faster than distance methods like neighbor joining, it outperforms maximum likelihood methods under complex models of sequence evolution.
🧵
Faster than distance methods like neighbor joining, it outperforms maximum likelihood methods under complex models of sequence evolution.
🧵
June 24, 2024 at 8:24 AM
We just released a preprint for Phyloformer, a likelihood-free inference method for phylogenetic reconstruction: biorxiv.org/content/10.1...
Faster than distance methods like neighbor joining, it outperforms maximum likelihood methods under complex models of sequence evolution.
🧵
Faster than distance methods like neighbor joining, it outperforms maximum likelihood methods under complex models of sequence evolution.
🧵