Daniel Anderson

A General Transformer-Based Multi-Task Learning Framework for Predicting Interaction Types between Enzyme and Small Molecule https://www.biorxiv.org/content/10.1101/2025.10.09.681419v1

RemoteFoldSet: Benchmarking Structural Awareness of Protein Language Models Protein language models (pLMs) have the capacity to infer structural information from amino acid sequences. Evaluating the extent to which structural information they truly encode is crucial for asses...

RemoteFoldSet: Benchmarking Structural Awareness of Protein Language Models
Zinnia Ma, Neville P. Bethel
bioRxiv 2025.09.23.678152; doi: doi.org/10.1101/2025...

High-accuracy SNV calling for bacterial isolates using deep learning with AccuSNV Accurate detection of mutations within bacterial species is critical for fundamental studies of microbial evolution, reconstructing transmission events, and identifying antimicrobial resistance mutati...

Precisely calling mutations across hundreds of bacterial isolates has been hard, requiring manual filtering and expertise.

Until now, using AccuSNV.

Herui Liao trained an ML model based on our previous meticulously called SNVs.
www.biorxiv.org/content/10.1...

Now published in @natcomms.nature.com 🎉

www.nature.com/articles/s41...

With Gillian Rodger, @nstoesser.bsky.social, @samlipworth.bsky.social, @stat-sarah.bsky.social, and many others!

Machine learning for biosecurity: A probabilistic framework for invasive species management By using pre-introduction traits and leveraging ML for early detection, this study presents a scalable, data-driven framework for invasion risk assessment and conservation planning. Our approach enab...

Machine learning for biosecurity: A probabilistic framework for invasive species management. Journal of Applied Ecology, 00, 1–13. doi.org/10.1111/1365...

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 ...

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/...

How to rapidly search the world’s microbial DNA By making the world’s microbial DNA easier to explore, LexicMap helps researchers track outbreaks, study antibiotic resistance, and understand microbial diversity.

There are millions of openly available microbial genomes, but searching them can be slow.

Until now 🥁

Introducing LexicMap, a new alignment tool that lets scientists search these data in minutes, helping track antibiotic resistance, trace outbreaks, and more.

www.ebi.ac.uk/about/news/r...
🦠

Compression of protein secondary structures enables ultra-fast and accurate structure searching Protein structure prediction has undergone a revolution with the advent of AI- based algorithms, such as AlphaFold and RoseTTAFold. As a result, over 200 million predicted protein structures have been...

"We show that, despite this compression factor, SSEs can be used as a highly effective tertiary structure comparison tool, with accuracy that approaches that of Foldseek, while offering a 200-fold speedup. "

www.biorxiv.org/content/10.1...

Efficient sequence alignment against millions of prokaryotic genomes with LexicMap - Nature Biotechnology LexicMap uses a fixed set of probes to efficiently query gene sequences for fast and low-memory alignment.

Sometimes you meet absolutely incredible bioinfo-magicians.
It was a huge privilege when @shenwei356.bsky.social
joined our group for a year on an @embl.org sabbatical.
While here, he developed a new way of aligning to
millions of bacteria, called LexicMap 1/n
www.nature.com/articles/s41...

Couldn’t have said it better myself!