Ruoshi
@ruoshiz.bsky.social
computational methods for metagenomics | former Söding Lab MPI-NAT
Reposted by Ruoshi
MMseqs2-GPU sets new standards in single query search speed, allows near instant search of big databases, scales to multiple GPUs and is fast beyond VRAM. It enables ColabFold MSA generation in seconds and sub-second Foldseek search against AFDB50. 1/n
📄 www.nature.com/articles/s41...
💿 mmseqs.com
📄 www.nature.com/articles/s41...
💿 mmseqs.com
GPU-accelerated homology search with MMseqs2 - Nature Methods
Graphics processing unit-accelerated MMseqs2 offers tremendous speedups for homology retrieval from metagenomic databases, query-centered multiple sequence alignment generation for structure predictio...
www.nature.com
September 21, 2025 at 8:06 AM
MMseqs2-GPU sets new standards in single query search speed, allows near instant search of big databases, scales to multiple GPUs and is fast beyond VRAM. It enables ColabFold MSA generation in seconds and sub-second Foldseek search against AFDB50. 1/n
📄 www.nature.com/articles/s41...
💿 mmseqs.com
📄 www.nature.com/articles/s41...
💿 mmseqs.com
Happy to see that Spacedust is now published on Nature Methods!
It combines sensitive Foldseek structure search and conserved neighborhood detection to discover functionally-associated gene clusters in prokaryotic & viral genomes.
1/6🧵
It combines sensitive Foldseek structure search and conserved neighborhood detection to discover functionally-associated gene clusters in prokaryotic & viral genomes.
1/6🧵
Spacedust: a tool for de novo identification of conserved gene clusters from metagenomic data.
@ruoshiz.bsky.social @milot.bsky.social
www.nature.com/articles/s41...
@ruoshiz.bsky.social @milot.bsky.social
www.nature.com/articles/s41...
De novo discovery of conserved gene clusters in microbial genomes with Spacedust - Nature Methods
This work presents Spacedust, a tool for de novo identification of conserved gene clusters from metagenomic data.
www.nature.com
September 16, 2025 at 8:26 PM
Happy to see that Spacedust is now published on Nature Methods!
It combines sensitive Foldseek structure search and conserved neighborhood detection to discover functionally-associated gene clusters in prokaryotic & viral genomes.
1/6🧵
It combines sensitive Foldseek structure search and conserved neighborhood detection to discover functionally-associated gene clusters in prokaryotic & viral genomes.
1/6🧵