If you are looking for a somewhat similar ONT tool, Nanomotif might be a place to start: doi.org/10.1101/2024...

Congratulations @wshuai.bsky.social and co-authors!

We’re excited to introduce MODIFI, our new scalable method for detecting DNA modifications in PacBio metagenomic data and estimating ECE-host linkage.
Check out the preprint: www.biorxiv.org/content/10.6...

methbiome: reference-based DNA methylation profiling of long-read metagenomic data www.biorxiv.org/content/10.64898/2026.03...

PacBio is proud to partner with Basecamp Research to generate high-fidelity metagenomic data for the Trillion Gene Atlas, a landmark initiative to model biological data at the trillion-gene scale and accelerate AI-designed therapeutics.

Learn more here: bit.ly/479RQh3

#PacBio #TrillionGeneAtlas

We’re launching the Trillion Gene Atlas with Anthropic, NVIDIA, PacBio, and UltimaGenomics.

🌍 The Goal: To expand known genomes 100×, sequencing 100M+ species to build foundation models grounded in evolution itself.

🔗 Read more: www.prnewswire.com/news-release...

We've seen a big increase in the number of long-read #metagenomics publications, especially those using #PacBio HiFi data. Also very encouraging to all the new tools for long-read metagenome assembly & taxonomic profiling.

Complete list of publications: github.com/PacificBiosc...

#AGBTGM26 flash poster - Nick Renshaw from Wellcome Sanger on automated libray prep for PacBio Plex prep 96 kit. Use for microbial. Pacbio outperformed Illumina and ONT on assembly

Accurate plasmid reconstruction from metagenomics data using assembly–alignment graphs and contrastive learning - Nature Biotechnology PlasMAAG uses cross-sample information to improve plasmid reconstruction from metagenomic samples.

Accurate plasmid reconstruction from metagenomics data using assembly–alignment graphs and contrastive learning www.nature.com/articles/s41... #jcampubs

Accurate plasmid reconstruction from metagenomics data using assembly–alignment graphs and contrastive learning www.nature.com/articles/s41... 🧬💻🧪 github.com/RasmussenLab...

New Preprint 📢 from our team 🔎 Critical assessment of #intratumor and #low #biomass #microbiome using #longread sequencing

Some studies suggest bacteria 🦠 live inside tumors and influence cancer treatment. But there’s also been a major #debate: in these very​ low-microbe tissue samples, how much 1/

We love sourmash!

I keep a giant table of long-read metagenomics tools for different applications and update it as new ones appear. It's hard to keep up with these days!

If I didn't have that, I would have already forgotten about it 😅

Comprehensive taxonomic identification of microbial species in metagenomic data using SingleM and Sandpiper - Nature Biotechnology Novel microbial species in metagenomes are identified using conserved regions within universal marker genes.

I think Single-M was written with that use-case in mind. Haven't tested it personally so can't vouch for it, but likely worth a try.

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

There are a few tools out there, this being one of the more recent ones:
doi.org/10.1101/2025...
I think there are some other alternatives listed in there as well.

I haven't personally tested it but would love to hear your feedback if you do.

Comparison of short-read and long-read metagenome assemblies in a natural soil community highlights systematic bias in recovery of high-diversity populations Abstract. Comparisons of long-read and short-read (meta)genome assemblies typically show that short-read sequence assemblies are less error-prone, but stru

🧬🦠🚨 Another new paper alert, this time led by @maureenbug.bsky.social ! In collaboration with the Emerson lab and
@titus.idyll.org lab (@taylorreiter.bsky.social), both at UC Davis. Asking the question: what are we missing in short-read metagenome assembly, and why ?

doi.org/10.1093/narg...

To simplify - you took the annual estimate of consumable revenue for all Revio instruments in the field, and tried to make that number fit with the Q3 consumable revenue (which is only ~25% of the consumable revenue for the year).

The 21.3M is just for Q3 - you'd need to add up consumable revenue from Q1, Q2, and estimate for Q4 to get an annual estimate of consumable revenue.

The estimate of annual consumable revenue of 236k per Revio system x 310 systems = ~73M, but we know utilization differs across users.

I don't think any Vega consumable numbers were included here, but I could be wrong. It might be that Vega estimates will be given after this year, giving a bigger time window to measure various metrics following the launch of the platform.

I'd argue that:
"PacBio sequencing ** has historically been** done by large service centres with large queues and substantial turnaround times"...

but that's starting to change now.

You are waiting for evidence that Vega is driving that, and that's a fair point.

Revio is a great product - it dramatically increased throughput over Sequel II (3x more data per cell, 12x more data per fully loaded run) and dropped the cost substantially. It's been the most successful instrument launch for the company, and now PacBio sequencing is at an all time high.

I'd encourage you to listen in on the PacBio Q3 results, which can tell you more about instrument sales, consumable usage, etc.

investor.pacificbiosciences.com/news-release...

I'm still only talking about PacBio here, not other technologies.

PacBio sequencing is now available in individual labs (not just sequencing cores), and does not require months of waiting.

You can continue to advertise other technologies if you'd like, but it's a distraction from the main point.

Hi David, I'm discussing PacBio here.

Vega solves the problem you stated:

"PacBio sequencing is typically done by large service centres with large queues and substantial turnaround times, often measured in weeks or months."

Getting a machine in the lab means HiFi data in a day.

Cost can be measured in many ways, not just cap-ex and consumables. There is compute time for processing (base calling for some reads is expensive), some reads need post-hoc error correction, etc. If you are paying for HPC resources, that adds up too, even before secondary analysis.

Fair, but we can agree it's a lot cheaper than Revio and avoids consumables markup from core facilities.

Everyone still needs to choose the right tech based on their resources and goals, which always seem to be changing too.

Vega benchtop system - PacBio The Vega benchtop system - The first HiFi benchtop system - bringing industry-leading and exceptionally accurate long-reads to your lab.

David have you heard of the PacBio Vega system? I think you are perpetuating an outdated view, now that the bench-top sequencer is available.

www.pacb.com/vega/

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/...

Long-read metagenomics for strain tracking after faecal microbiota transplant Nature Microbiology - A long-read metagenomics method empowers faecal microbiota transplantation studies by precisely tracking bacteria from donors to recipients, distinguishing co-existing strains...

Excited to share our LongTrack study out in
@natmicrobiol.nature.com today!

Fecal microbiota transplant (FMT), donor 💩 => patients' gut, is an effective treatment for recurrent C. difficile infection & is being evaluated for Inflammatory Bowel Diseases (IBD) & other conditions 1/

📄 rdcu.be/eL8mR

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 as-sembler that operates directly on these sketches. MSR produces...

Another #metagenome assembly algorithm for #PacBio HiFi data - introducing Alice!

I'll be very interested to see how this performs on some of our trickier datasets.

More broadly, I'm happy to see continual development of tools for long-read #metagenomics.

doi.org/10.1101/2025...

GitHub - PacificBiosciences/Paraviewer Contribute to PacificBiosciences/Paraviewer development by creating an account on GitHub.

My new tool Paraviewer is now available for use at github.com/PacificBiosc...! If you use Paraphase, try this new next-step tool - it automates and greatly simplifies variant visualization from Paraphase variant calling. If you're at #ASHG2025, visit me today at poster 4109W. #pacbio