Jim Shaw

Jim Shaw

@jimshaw.bsky.social

Postdoc at Dana-Farber and Harvard Med with Heng Li (@lh3lh3.bsky.social). Prev: UBC / UofT. I like thinking about biological sequence analysis and its applications to metagenomics / microbial genomics. https://jim-shaw-bluenote.github.io

1.2K followers584 following127 posts

Jim Shaw reposted

My final postdoc project is out today in Nature! We show microbes co-migrated with humans out of Africa; three independent methods agree, and timing matches archaeological / genetic evidence (Fig. 4c). Seeing Fig. 4c for 1st time was one of my most memorable "eureka" moments! doi.org/10.1038/s415...

doi.orgPrehistoric global migration of vanishing gut microbes with humans - NatureMicrobial species disappearing from industrialized populations have evolved with humans over millennia and migrated worldwide with them—this may have consequences for human health.

Jim Shaw reposted

Pleased to share my first preprint from my postdoc, where I ask what drives mobile DNA movement between bacterial cells in complex communities like the gut microbiome. To answer this, we built a way to capture mobile DNA in the act of moving between cells, using short-read metagenomics. 🧵

doi.orgdoi.org

Jim Shaw reposted

Jim Shaw reposted

ColabFold 1.6.3 is out! 2.5x faster, pip-installable, ipSAE+pDockQ2 scores. Thanks Choonghwan Lee, Marielle Russo, Gyuri Kim 🐍pip install colabfold[alphafold] CF2 Sneak Peak with AF3/Boltz/Protenix/ESMFold2… 🐍pip install "colabfold[alphafold3]@git+https://github.com/sokrypton/ColabFold@af3-preview"

Jim Shaw reposted

Two announcements regarding AccuSNV, which calls high precision SNVs across microbial genomes: Version 1.1 is now incredibly easy to install, run, and perform downstream analyses with (see image of typical output!). The manuscript was also published this summer in Genome Research! Links next...

Jim Shaw reposted

Still relying on legacy approaches for microbial analysis? Join this webinar to discover the latest tools for resolving strain-level diversity, recovering complete genomes, and unlocking deeper insights from complex microbial communities. Register here: https://bit.ly/3UnBy0r

Jim Shaw reposted

Cool preprint about strain-level metagenome association studies using k-mer containment. Mallawaarachchi et al. from @gerrythill.bsky.social's group. I tried tackling this in our original paper for sylph (sylph-docs.github.io), but this seems to be much more sophisticated. Excited to read!

bioRxiv Microbiology@biorxiv-microbiol.bsky.social

Accurate detection of metagenomic strain-level associations using average nucleotide identity with StrainSpy https://www.biorxiv.org/content/10.64898/2026.08.30.748153v1

Jim Shaw reposted

Thank you for featuring our work National University Health System! Its great to have this article describe in simple terms what we have been doing for nearly a decade now in terms of microbial genomic surveillance and metagenomics 🥲 nuhsplus.edu.sg/article/dna-...

nuhsplus.edu.sgDNA detectives: Hunting down hidden hospital bacteria | NUHS+NUHS researchers use a genetic fingerprint to expose invisible microbial reservoirs, aiding outbreak prevention across local hospitals.

Jim Shaw reposted

If you are looking for web-based phage annotation, phage-annotation.org is live. Upload a genome to run Pharokka, Phold and Phynteny sequentially (see our recent protocols paper doi.org/10.1002/cpz1...). If you have feedback, please reach out Thanks to @ardc.edu.au for making this possible!

phage-annotation.orgPhage Annotation Server -- phage genome annotationFree automated phage genome annotation -- pharokka, phold and phynteny in one pipeline.

Jim Shaw reposted

Travis has been cooking something up since IGGSy ;) A fast algorithm for SMEM finding in haplotype panels that uses space proportional to the number of 1s in the (sparse) matrix, inspired by the jump index [13].

Paola Bonizzoni, Davide Cozzi, Travis Gagie, Younan Gao, Ragnar Groot Koerkamp: MEM-finding with run-length compressed strings https://arxiv.org/abs/2608.01387 https://arxiv.org/pdf/2608.01387 https://arxiv.org/html/2608.01387

Jim Shaw reposted

The manuscript describing SimPhyNI is now published! www.microbiologyresearch.org/content/jour... A few updates since last post, including some method tweaks that improve performance and speed. Also even easier to run. Try it for your microbial GWAS or epistasis needs!

microbiologyresearch.orgHigh-precision binary trait association on phylogenetic treesTraditional methods for identifying associations between genomic features and traits, or between pairs of genomic traits, struggle when applied to bacterial genomes. While several microbial genome-wid...
Tami Lieberman@contaminatedsci.bsky.social

Proud to announce SimPhyNI, a new tool for bacterial GWAS with higher precision and scalability than existing tools. Try it out and let us know what you think!!

Jim Shaw reposted

It's out! Excited to present the Great Barrier Reef Microbial Genomes Database (GBR-MGD), a comprehensive DB of 1000s of high-quality prokaryote, virus, plasmid, and chromosome-level eukaryote MAGs using Nanopore long reads. Subthreads incoming. Please share widely. 🙂 www.nature.com/articles/s41...

nature.comThe planktonic microbiome of the Great Barrier Reef - NatureThe Great Barrier Reef Microbial Genomes Database compiles prokaryotic, viral and eukaryotic genomes from seawater collected from the Great Barrier Reef, providing a rich resource for the study of mar...

Jim Shaw reposted

Significant update to the AllTheBacteria paper, including discovering new antimicrobial peptides and testing in vitro and vivo. This has grown into a fantastic collaboration!

César de la Fuente@delafuentelab.bsky.social

Biology has plenty of data—the challenge is making it usable. AllTheBacteria transforms 2.44 million public bacterial and archaeal genomes into an open, uniformly processed, searchable, AI-ready resource. www.biorxiv.org/content/10.1...

Jim Shaw reposted

Jim Shaw reposted

Jim Shaw reposted

How good is MiniBWA, the successor to BWA? To test it, I ran MiniBWA on sequencing from 76 different species, comparing mapping speed, rate and accuracy with BWA MEM. In short, it's really good. If you map short reads, it's well worth your time. andrewcarroll.github.io/2026/06/30/t...

andrewcarroll.github.ioThe Best of Both Worlds - Assessing MiniBWARecently, Heng Li released MiniBWA (GitHub) alongside a paper by Heng Li and Nils Homer describing the method (paper). MiniBWA builds on the approaches in Minimap2 (also by Heng Li), but falls back on...

Jim Shaw reposted

Jim Shaw reposted

Congratulations to my PhD student, Stefania Andrea Rosso Villanelo, on publishing her first first-author paper! 🎉In this study, she used antibiotics to facilitate the isolation of previously uncultured bacterial species from activated sludge. Check it out! 🦠🧫💊 journals.asm.org/doi/10.1128/...

journals.asm.orgApplication of antibiotics for the selective isolation of previously uncultured species from activated sludge | Microbiology SpectrumBiological wastewater treatment relies on diverse microbial communities to degrade pollutants and drive nutrient transformations. Understanding the physiology and metabolism of these microorganisms is essential for improving the efficiency and cost-effectiveness of treatment processes. Much of our current knowledge is derived from 16S rRNA gene amplicon sequencing and metagenomic analyses. However, validating these sequencing- and genome-based insights requires bacterial species as pure cultures, and only a limited number of taxa common in wastewater treatment plants are currently available in culture. Here, we present an isolation strategy that uses antibiotics as a selective pressure to reduce microbial complexity and alleviate competitive exclusion during cultivation, while full-length 16S rRNA gene amplicon sequencing is used to monitor enrichment and guide targeted isolation, thereby facilitating the recovery of process-relevant activated sludge bacteria, including potentially uncultured taxa. These isolates can serve as model organisms for experimental validation of genome-based predictions.

Jim Shaw reposted

Minibwa is a hybrid of bwa-mem and minimap2 and the successor of bwa-mem for short-read mapping. ~4X/2.5X as fast as bwa-mem/bwa-mem2 for WGS reads at comparable accuracy. Native support of directional bisulfite-seq. Applicable to long reads. Preprint at arxiv.org/abs/2606.15357

Jim Shaw reposted

#rustbio 4.0 has been released. It harmonizes the error handling, improves the API, makes gap-open/extend behavior in pairwise alignment more intuitive and in-line with the literature, improves GFF parsing, and allows incremental building of the rank-select datastructure. github.com/rust-bio/rus...

github.comRelease v4.0.0 · rust-bio/rust-bio4.0.0 (2026-06-12) ⚠ BREAKING CHANGES Replace anyhow with typed thiserror errors (#674) Change Phase conversion methods to use TryFrom for better error handling (#625) for pairwise alignment, only...

Jim Shaw reposted

Folddisco is now published @natbiotech.nature.com. It’s a fast motif search for similar 3D DISCOntinuous residues like catalytic sites or zinc fingers across the entire protein universe. 📄 www.nature.com/articles/s41... 💾 folddisco.foldseek.com​​​​​​​​​​​​​​​​ 🌐 https://search.foldseek.com/folddisco

nature.comStructural motif search across the protein universe with Folddisco - Nature BiotechnologyFolddisco enables protein structural motif search in million scale databases.
Martin Steinegger 🇺🇦@martinsteinegger.bsky.social

Folddisco finds similar (dis)continuous 3D motifs in large protein structure databases. Its efficient index enables fast uncharacterized active site annotation, protein conformational state analysis and PPI interface comparison. 1/9🧶🧬 📄 www.biorxiv.org/content/10.1... 🌐 search.foldseek.com/folddisco

Jim Shaw reposted

Excited to share our review relating to the giant extrachromosomal elements (ECEs) We cover: why long-read metagenomics enables their discovery, genomic comparisons across recently characterized examples, and limitations of current classification tools. www.cell.com/trends/genet...

cell.comGiants within: a new class of microbial mobile elementsProkaryotes harbor a diverse spectrum of extrachromosomal elements (ECEs), which are intracellular replicons maintained independently of the primary chromosome. Historically, the ECE research field ha...

Our method, savont, for generating amplicon sequence variants (ASVs) for long-read amplicons is now on bioRxiv. Work with @lh3lh3.bsky.social and help from @mkddueholm.bsky.social and team (Marie Riisgaard-Jensen, @kirk3gaard.bsky.social, Kasper Skytte Andersen) github.com/bluenote-157... 1/6

bioRxiv Bioinfo@biorxiv-bioinfo.bsky.social

Sensitive long-read amplicon sequence variant recovery with savont https://www.biorxiv.org/content/10.64898/2026.05.26.727271v1

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An advantage of ASVs ---> more confident species-level profiling. Read mapping can lead to overconfident species classifications: the "best hit" database species isn't necessarily correct. ASVs helps avoid this, since you remove seq. error from the equation. 6/6

Savont is available on github and conda. Written in Rust as usual. We've integrated databases (Greengenes2, SILVA, EMU's db), multi-sample merging, QIIME2 compatible outputs, etc. We're very open to feedback, so please let us know of feature requests / bugs! github.com/bluenote-157...

github.comGitHub - bluenote-1577/savont: Amplicon sequencing variants from 16s ONT R10.4 / HiFi long readsAmplicon sequencing variants from 16s ONT R10.4 / HiFi long reads - bluenote-1577/savont

Our method, savont, for generating amplicon sequence variants (ASVs) for long-read amplicons is now on bioRxiv. Work with @lh3lh3.bsky.social and help from @mkddueholm.bsky.social and team (Marie Riisgaard-Jensen, @kirk3gaard.bsky.social, Kasper Skytte Andersen) github.com/bluenote-157... 1/6

bioRxiv Bioinfo@biorxiv-bioinfo.bsky.social

Sensitive long-read amplicon sequence variant recovery with savont https://www.biorxiv.org/content/10.64898/2026.05.26.727271v1

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For long 16S nanopore amplicons (R10.4, sup-basecalled), savont requires 5-16x less depth for capturing ASVs. This improvement is more stark for longer amplicons (e.g. rRNA operon). For HiFi, savont + existing ASV methods are comparable, although savont misses a few intragenomic 16S copies. 4/6

On real 16S ONT amplicon data, savont gets a lot more diversity and ASVs compared to existing methods. But these aren't just false positives. The dataset (from @mkddueholm.bsky.social and team) had paired PacBio HiFi data as a orthogonal reference: ~98% of the ONT ASVs mapped perfectly. 5/6

Our method, savont, for generating amplicon sequence variants (ASVs) for long-read amplicons is now on bioRxiv. Work with @lh3lh3.bsky.social and help from @mkddueholm.bsky.social and team (Marie Riisgaard-Jensen, @kirk3gaard.bsky.social, Kasper Skytte Andersen) github.com/bluenote-157... 1/6

bioRxiv Bioinfo@biorxiv-bioinfo.bsky.social

Sensitive long-read amplicon sequence variant recovery with savont https://www.biorxiv.org/content/10.64898/2026.05.26.727271v1

Why savont? Short-read ASV-generation techniques rely on finding error-free reads and "denosing". For noisy long reads, this doesn't work as well. If a 16S amplicon has length 1.4 kbp & a read is 99.5% accurate => it has (0.995)^1400 ~ exp(-7) = 0.09% chance of being perfect. Not so great. 2/6

Savont instead uses a high-resolution clustering approach: cluster similar reads --> create an error-free consensus. The problem is resolving clusters at the single nucleotide level to get true ASVs. To do this, we adopted the "SNPmer" technique: cluster reads by their polymorphic k-mers. 3/6

Jim Shaw reposted

Come to ONT's industry event at ASM to hear about two exciting new tools from @jimshaw.bsky.social! SNPmers (polymorphic kmers) are leveraged for impressive performance in both myloasm (metagenomic assembly) and savont (16S ASVs). Registration link 👇

Oxford Nanopore@nanoporetech.com

Join Jim Shaw at #ASMicrobe to uncover how to unlock high-resolution, strain-level microbiome insights. Learn how this is could be crucial to helping deliver more precise diagnostics and treatment in the future. https://bit.ly/4v4XuKE