One more from #JPM22, maybe the last one from me: PacBio's presentation which took place on the 13th January. Intro slide about the company. Image
There are now 374 Sequel II/IIe machines installed, the company's revenue is growing and is in the triple digit annually. Image
The number of SMRT Cells shipped has almost doubled since 2020, quadrupled since 2019. That's a good sign for PacBio. Image
The company describes 2021 as the most productive year for the company. Highlights are the acquisition of Omniome's Sequencing by binding (SBB) short-read technology, and partnership with Invitae. Image
Important improvements in sample prep and data analysis to make the HiFi technology more attractive. Image
Interesting that the partnership with Google Health is not only on DeepVariant calling, but also how the software from Google deep learning improves the callability of reads. Base calling is at the center of the data analysis efforts of #NGS companies. Image
Announcement of the "desktop HiFi-based instrument" in partnership with Berry Genomics in China, who want to use it for NIPT and other assays. Someone described this would have the profile/size of a NextSeq instrument. Image
PacBio takes a short-read play because they anticipate it will remain relevant in certain field, e.g. cfDNA Liquid Biopsy for early detection of cancer. Image
The Omniome's SBB technology is already being pushed beyond 150bp, showing a different clustering method to the original emPCR (nobody likes emulsion PCR). Image
Over the read cycles, the mismatch rate remains constant and very low. I don't know how to interpret this compared with the previous slide, other than maybe the errors are uniform in type by Q-scores go down around 200 cycles? @sbarnettARK @OmicsOmicsBlog Image
The first SBB instrument is in partnership with Invitae. I think this is also expected to be the size of a NextSeq, and depending on the throughput, yet another copycat (in instrument size) to the list together with Singular Omics G4. Image
So lots to go for PacBio, I am quite keen to see how both fronts, the HiFi and SBB technologies, evolve. Image
If I compare PacBio's strategy with what Illumina, MGI Tech and Oxford Nanopore are doing, I would say that: it's commendable that they take the short-read approach seriously, as the other 3 companies have a short-read strategy themselves.
If the HiFi technology continues to improve in throughput (number of molecules) and cost, it will continue to have a market out there. But recent data from @AW_NGS in the Netherlands shows that Oxford @nanopore's Q20+ ultralong reads could now be giving better assemblies than ...
... the best PacBio can do. This was in some rather large and repetitive plant genomes, which is where the extra read length will give better value to the assembly process, but I think it extrapolates overall to any type of assembly task. Keen to see more data on both sizes here.
We should keep in mind that human resequencing has been historically done with Illumina due to cost considerations, but this could switch to long read technologies once the difference narrows. "Sequence once keep forever" for human reference genomes could...
... mean in the future we all have our genome sequenced with long reads, best technology solution, and each of our genomes is a de novo assembly. It would be in our electronic health records (we could carry a copy in our mobile phones) and our GP will refer to it during our ...
... lifetime. This would be in comparison with regular epigenomic health checks, probably mostly cfDNA from blood draws, 10-20ml in volume or the size of a lipstick. These will be short fragments and will contain epigenomic marks that relate to our physiological health status.
If they done regularly, they could alert our GP of an early cancer detected in one of our tissues/organs, which will refer us to the oncologist. They could alert us of neurological pathologies or cardiovascular issues that will also need follow-up.
So overall, this long-reads "sequence once, keep forever" initial sequencing of each of us will then generate the reference for the regular epigenomic short-read sequencing, and could become a standard in a few years time.
All in all, companies in the #NGS space should think about having a play in both short-reads and long-reads. Oxford @nanopore has shown they can produce short-reads at a very good tick with the same technology that produces long and ultralong reads.
PacBio seems to want to combine the parallel HiFi + SBB approach, so two technologies under the umbrella of the same company.
Illumina is the king in short-reads, and after the failed attempt to acquire PacBio, has now come up with an Infinity 10Kb reads method, the details of which we hope to learn more soon. If this will be enough and compare well with the other approaches, time will tell.
Finally MGI Tech has a very good short-read technology, in some ways already better than Illumina, and has demonstrated their stLFR technology, which improves the haplotypic information of the short reads. en.mgi-tech.com/products/reage…
The other companies don't seem to be at the same level as these four yet, but there are definitely another 4-5 contenders here that could jump to prominence at any point. Looking forward to see what the future brings.

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More from @AlbertVilella

Dec 2, 2021
So after Oxford @nanopore's #NCM21 tech dev presentation, where does this leave ONT technology in comparison of Illumina? (thread)
The ONT technology offers a lower barrier to entry with the MinION, and this results in a competitive advantage over turn-around time sensitive applications (Point of Care settings).
ONT showed their competitiveness in both long-read and short-read applications yesterday, a limitation for Illumina which tried to overcome with their failed attempt to acquire PacBio.
Read 11 tweets
Dec 1, 2021
Clive (probably sipping a piña colada by the beach) is updating on tech at @NanoporeConf @nanopore
Three steps: (1) Sample Preparation, (2) Data Acquisition and (3) Sequence Data (basecalling)
"[...] everything apart from the computer is designed by Nanopore, but [the computer side] may change in the future, by the way". Unreasonable to think they will build their own silicon specialized for base-calling?
Read 42 tweets
Nov 5, 2021
MGI Tech has given a presentation on their updated DNBSeq CoolMPS (#NGS) technology. Some highlights below:
Their DNBSEQ-Tx sequencing factory, with dip-immersion reagent delivery and 4 high-throughput imagers, can produce >50K WGS annually. Technology being upgraded from PE100 to PE150 (2021Q3)
A presentation from a user shows how #singlecell 10X Genomics libraries can be inputted into the MGI machines. Small difference between FASTQ files, but tools available to transform.
Read 6 tweets
Oct 3, 2021
More highlights of the prospectus for $ONT.L Oxford @nanopore, now concentrating on more technical aspects.
Aiming for a 4-5x step change in throughput between the different product lines: 126/512 ~ 4x and 512/2675 ~ 5x between Flongle / MinION / PromethION
There are a lots of other details that matter here, but it gives us a rough estimate of multiples between product throughput and how the company thinks about them. Compared to Illumina, their MiSeq/NextSeq/NovaSeq ratios are:
15/360 ~ 24x and 360/6000 ~ 16x, but with ...
Read 7 tweets
Oct 3, 2021
Gross Margin of 30% is a single number encompassing a lot of different costs inside. My first guess is that the ASICs part of the technology has a lot of margin in volume and alternatives.a
Also, a starter pack can be more costly as it contains added elements that are helpful for starting customers, but it slims down to basics for regular customers.
Finally, and this is pure speculative territory, the tech slide of the flexible small-printer ASIC POC shows a path forward to make Oxford @nanopore independent from large suppliers of semiconductor materials produced by large specialised FABs.
Read 4 tweets
Oct 2, 2021
A few notes (in no particular order) on the Oxford @nanopore 30-Sep-2021 document timed for their IPO (data.fca.org.uk/artefacts/NSM/…)
(1) The importance of GPUs and SSDs as part of the computational equipment perceived to be needed now and in the near/mid term future Image
They only mention competitors by name in stating the difference between synthesis-based sequencing and the nanopore approach. They mention Illumina and PacBio later on in patent litigation risks but not too interesting. Image
Their TAM and potential TAM slide is probably the most insightful: reiterating what the company always said about long-reads, ubiquitous and fast TAT products and the markets they can disrupt with these Image
Read 5 tweets

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