Does anyone know how nucleus genomics compares with nebula? nucleus uses 30x (the same im sure) but they say they use american sequencers.
i have some signs nebula genomics is missing some variants b/c it isnt the highest quality…
Did you talk with the Nucleus group at the Longevity Summit conference when you were there? I did talk to them, and they mentioned they were partnered with Illumina for their gene sequencing: Next-Generation Sequencing (NGS) | Explore the technology
I’m not sure what Nebula uses.
I’m working on a writeup on what Kian presented at the Longevity Summit on their approach and perspective. Will post in the next few weeks.
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So did you figure out if you are APoE4 or not? If so - how? This would frustrate me, personally
For now, I’m just assuming I am APOE4 (the 2/3 variant). But I should discuss this with a geneticist in the near term.
I think sequencing.com is useful for updates as new research relates to your genome.
If you have multiple family members you can definitely negotiate a substantial discount (not advertised as far as I can tell) on your subscription fees to reduce the cost.
A caution on using Nebula. I used their 30x sequencing. The results were complete garbage. I’m a known carrier for Cystic Fibrosis - validated multiple times with specific tests validated for medical diagnosis. Nebula showed the Cystic Fibrosis gene as normal - all 30 sequences. Which means they’ll use someone else’s sequence for portions of their results if they have any problems processing your sample. Which makes all of the results completely worthless. You’re going to have to spend more to get a reliable sequencing result.
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A listing of current suppliers WGS:
As of May 2026, the landscape for consumer Whole Genome Sequencing (WGS) is dominated by a few high-volume laboratories utilizing high-throughput platforms (like Illumina’s NovaSeq X or Ultima Genomics). Prices fluctuate due to frequent “seasonal” sales, but the following represents the most consistent low-cost options available for direct purchase by consumers in the USA and globally.
Top 10 Lowest-Cost Whole Genome Sequencing Sources (May 2026)
| Rank | Product/Brand Name | Vendor | Total Price (USD) |
|---|---|---|---|
| 1 | Low-Pass WGS (1x Coverage) | MyHeritage | $89 |
| 2 | Essential WGS (1x Coverage) | Nebula Genomics | $245 |
| 3 | Ultra Genetic Test (30x WGS) | tellmeGen | $299 |
| 4 | 30x Whole Genome Sequencing | Nebula Genomics | $299 |
| 5 | WGS EDS Special Bundle (30x) | Sequencing.com | $365 |
| 6 | Whole Genome Sequencing (30x) | SelfDecode | $399 |
| 7 | WGS 400 (30x Coverage) | YSEQ | $399 |
| 8 | Premium WGS (30x Coverage) | Dante Labs | $449 |
| 9 | Premium DNA Test (30x WGS) | CircleDNA | $510 |
| 10 | WGS Research (30x Coverage) | Full Genomes Corp | $645 |
Shipping and Hidden Costs Summary
- Dante Labs & tellmeGen: These vendors typically offer free global shipping , including the return of the sample kit, which significantly reduces the effective total cost for international buyers.
- Sequencing.com: Offers free shipping within the USA for most WGS bundles. International customers must pay for outbound and return shipping.
- Nebula Genomics: Frequently adds a shipping fee (approx. $15–$25) and may require a separate subscription (Nebula Explore) for continuous report updates, though the raw data download is usually included in the base price.
- MyHeritage & SelfDecode: Generally charge a flat-rate shipping fee for the kit (approx. $10–$15) and do not include prepaid return shipping for international orders.
- YSEQ: This is a boutique service popular for raw data enthusiasts. Shipping is calculated at checkout based on weight/location, and users are responsible for the cost of returning the sample to their laboratory in Germany.
Scholarly & Technical Note
The pricing above distinguishes between Low-Pass (1x) and High-Pass (30x) sequencing. While 1x WGS is the cheapest entry point, it is primarily used for ancestry and common trait analysis via imputation. For clinical-grade insights—such as identifying rare variants, pathogenic mutations, or pharmacogenomics—a minimum of 30x coverage is the industry standard.
A significant knowledge gap remains regarding the long-term data storage costs. Many providers (like Nebula or tellmeGen) are shifting toward subscription models to access updated health reports, meaning the “Total Cost of Ownership” over five years may be higher than the initial sequencing fee. Additionally, many “low-cost” results are for educational use only and require a clinical confirmatory test if a serious medical variant is discovered.
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I’ve never seen Nebula Genomics for only $299. Every time I’ve looked you’re required to buy a subscription which raises the price. I got it from them for $408 a year or so ago.
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Rhonda Patrick / Found my Fitness also offers a genetic report. It is a narrative report, cannot be sliced and diced like Promethease. Cheap, like $25. Would not get instead of Promethease (or one of the other services) but it does provide some validation and additional insight.
Tempted to look at Nebula and some of the others but given that I now already know the biggest risks as well as the order of magnitude of the danger of the myriad minor risks, I have addressed them and feel kind of maxxed out.
But emphatically encourage getting genetics done. My biggest risk is colon cancer, a surprise though perhaps it should not have been (grandfather) so now I get colonoscopies every three years and pay more attention to fiber. Nearly as big a risk (relatively) is cardiovascular disease/stroke/abdominal aneuryism. So, got imaging, CAC, started Repatha and Ezetimibe, nearly eliminating alcohol, etc. Got lipids and other markers where they need to be.
Before getting the imaging I was focusing primarily on frailty, osteoporosis which, I do believe are the greatest risks – but – surprise – not the only ones.
Also, the genetics tell you some interesting things that didn’t seem to me true or make much sense, but after getting both reports and reading around, it became clear what is going on. Example, the report cited a “tendency toward obesity.” Since I have always been thin, this seemed like a mistake. But looking deeper, the signal the report was reacting to is a genetic low level of adiponectin, and a couple of other things that now make sense. So, for me it means: need to take in more protein and lift heavier to counteract the tendency to store fat, especially visceral fat.
I think if I continued looking deeper I would discover more things. And perhaps I will. But they would be insignificant compared to the major findings, and it is about all I can do to address those . . .
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30x read is not going to get the info most people want. You will be frustrated. Spend the few extra on at least 100x. Especially for some of the more interesting genes that this forum is looking at.
A re-run of the previous prompt with a focus on 100X:
As of May 2026, the market for 100X Whole Genome Sequencing (WGS) has shifted significantly following the consolidation of several early pioneers (e.g., Nebula Genomics transitioning into DNA Complete). 100X sequencing, or “Ultra-Deep” sequencing, provides a higher signal-to-noise ratio than the 30X clinical standard, making it the preferred choice for detecting low-frequency somatic variants and mosaicism.
The following providers allow direct consumer purchase, provide raw VCF and CRAM files, and do not mandate a recurring subscription for data access.
Top 10 Lowest-Cost 100X Whole Genome Sequencing Sources (May 2026)
| Rank | Product/Brand Name | Vendor | Total Price (USD) |
|---|---|---|---|
| 1 | WGS Elite (100X WGS) | DNA Complete | $995 |
| 2 | WGS 100X Deep Sequencing Bundle | Sequencing.com | $1,099 |
| 3 | Whole GenomeZ (100X Coverage) | Dante Labs | $1,199 |
| 4 | WGS Custom (300 Gb Data Allocation) | YSEQ | $1,250 |
| 5 | Ultra-Deep 100X WGS | BioAro | $1,499 |
| 6 | Variant-Plus (100X Research WGS) | Macrogen | $1,650 |
| 7 | Personal Genome 100X Premium | Veritas Intercontinental | $1,850 |
| 8 | DeepSeq WGS Research Protocol | Psomagen | $1,900 |
| 9 | Clinical 100X Whole Genome | HiFiGenomics | $2,100 |
| 10 | Platinum 100X Research WGS | Illumina (Partner Network) | $2,500 |
Shipping and Logistics Summary
- DNA Complete: Currently offers a promotional free shipping rate within the Continental USA. International kits involve a flat $45 fee for delivery and return logistics.
- Sequencing.com: Domestic shipping is $19.99. For the 100X “Elite” bundle, return shipping is typically included via a prepaid label in the box.
- YSEQ: Shipping is calculated based on current rates from Germany. Expect roughly $25–$35 for the kit; the customer is responsible for return postage to their laboratory in Berlin.
- Dante Labs: Includes free global shipping, but users should note that turnaround times for 100X processing can exceed 12 weeks during high-volume periods.
- BioAro: Offers guaranteed turnaround times (under 4 weeks), but shipping costs vary by region, averaging $30 for North American customers.
Scholarly Analysis & Technical Considerations
The primary scholarly debate surrounding 100X WGS is whether the incremental benefit of increased depth justifies the $600–$800 premium over standard 30X sequencing.
- Detection Thresholds: 100X depth is technically required for high-confidence identification of “mosaic” mutations (mutations occurring in only a fraction of cells), which are increasingly studied in the context of neurodegenerative diseases and longevity science.
- File Management: A 100X CRAM file typically exceeds 150GB. A knowledge gap exists in the consumer market regarding the necessary local hardware for processing such files; standard consumer-grade laptops often lack the RAM required for local alignment or variant browsing.
- No-Subscription Access: While the providers above allow one-time raw data downloads, several (DNA Complete, Sequencing.com) host “Report Marketplaces.” Users should distinguish between the sequencing data (which you own) and the interpretative reports (which may require separate fees).
Note on Reliability: Data for smaller providers (e.g., Full Genomes Corp) has been excluded due to inconsistent service availability and “Out of Business” flags in recent 2026 market audits. Always verify that the lab utilizes CAP/CLIA-certified pipelines if you intend to share the VCF with a medical professional for clinical intervention.
List needs to be checked extensively. For example, I couldn’t find 100x sequencing on sequencing dot com. Some other ones, you couldn’t tell whether it was 30x or 100x being offered.
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Computing Platform for Genome Dataset Analysis:
The evaluation of a 100X Whole Genome Sequencing (WGS) dataset—which typically yields a compressed CRAM file of 150GB–200GB and an uncompressed VCF file of 1GB–5GB—exceeds the operational capacity of standard consumer hardware. Processing these files requires a focus on high-bandwidth I/O (Input/Output), massive RAM for indexing, and specialized software that “streams” data rather than loading it into memory.
Below are the recommended compute platforms for a consumer to evaluate a 100X genome, categorized by local hardware, prosumer workstations, and cloud-based analysis.
1. Local Hardware: “Prosumer” Specifications
If you intend to browse 100X files locally (using software like IGV), your bottleneck is not just the CPU, but the RAMand Disk Read Speed.
| Component | Minimum for 100X | Recommended (Prosumer) | Note |
|---|---|---|---|
| RAM | 32GB DDR5 | 128GB+ DDR5 | High-depth CRAM indexing consumes massive memory. |
| Storage | 1TB NVMe Gen4 SSD | 4TB+ NVMe Gen5 SSD | Read speeds of 10GB/s+ are vital for scrolling through 100X reads. |
| CPU | 8-Core (Ryzen 7/i7) | 16-Core+ (Ryzen 9 / M3 Ultra) | Essential for parallelizing variant filtering. |
| GPU | Integrated | NVIDIA RTX 4080 (16GB VRAM) | Useful for AI-accelerated variant calling (e.g., NVIDIA Parabricks). |
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- Optimal Consumer Machine: The Mac Studio (M2/M3 Ultra) with 192GB of Unified Memory is currently the most efficient “off-the-shelf” consumer desktop for genomics. The unified memory architecture allows the GPU and CPU to share the massive genomic index files without the latency of a PCIe bus.
2. Cloud-Based Analysis Platforms (Individual Access)
For most users, moving the compute to the data (Cloud) is more practical than moving the data to the compute (Local).
- Terra.bio (Best for Technical Users): An open platform co-developed by the Broad Institute and Microsoft/Google. It allows individuals to spin up a “Cloud Environment” (Jupyter Notebook or RStudio) with high-RAM configurations (up to 3.75TB) on a pay-per-use basis. You can host your 150GB CRAM in a Google Cloud bucket and browse it via an integrated IGV instance.
- Galaxy Project (Best for Non-Coders): A web-based interface for bioinformatics. You can upload your raw data (or import via URL) and run complex workflows (alignment, variant calling, annotation) on public infrastructure. While the free tier has storage limits, the Galaxy Pro or local cloud instances allow for 100X file processing.
- DNAnexus (Apollo): A clinical-grade platform used by the UK Biobank. It provides a “Precision Health Data Environment” where you can store and analyze 100X genomes using pre-built pipelines (GATK, Sentieon) without writing code.
3. Specialized Software for 100X Data Visualization
Standard “DNA Viewers” will often crash when attempting to render 100X coverage. Use these optimized tools:
- IGV (Integrative Genomics Viewer) - Desktop: The gold standard. Pro Tip: Increase the “Visibility Window” carefully and allocate at least 16GB of Java Heap Space to the application to prevent crashes during 100X browsing.
- JBrowse 2: A modern, high-performance browser that handles CRAM files better than its predecessors. It supports “Linear Genome Views” and can be run locally or via a web server.
- St Jude Cloud Peeker: A specialized visualization tool designed to stream specific genomic coordinates from large files without downloading the entire 150GB.
Scholarly Debate & Knowledge Gaps
There is an ongoing debate in the bioinformatics community regarding Local vs. Remote Indexing. For a 100X CRAM, the .crai index file must be perfectly synced.
- Knowledge Gap: Most consumers are unaware that CRAM is lossy relative to BAM depending on the “lossy names” flag used during conversion. If your provider used a high-compression lossy format for the 100X file, some quality scores (used to distinguish sequencing errors from real mutations) may be simplified, potentially negating the advantage of the extra depth.
- Computational Bottleneck: The “Secondary Analysis” (turning CRAM back into VCF with updated filters) is the most resource-intensive part. For a 100X genome, a standard PC might take 48–72 hours to re-run a pipeline, whereas a cloud-based NVIDIA Parabricks instance can complete it in under 30 minutes.
Actionable Recommendation
If you lack a high-end workstation, do not attempt to download the 150GB file to a laptop. Instead:
- Upload the file to an AWS S3 or Google Cloud Storage bucket.
- Use IGV-Web or Terra.bio to “stream” only the genes of interest (e.g., FOXO3 for longevity, APOE for neurology) directly from the cloud. This requires only a standard web browser and high-speed internet.
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A press release today… seems like there must be a “catch”:
May 11, 2026 /PRNewswire/ – Human Longevity, Inc. today announced the launch of its new Clinical-Grade $599 Whole Genome Sequencing Report , designed to bring advanced genomic medicine and AI-driven disease prevention to the general population.
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I looked at their website. The price is good… that’s it. Depth: 30x… I’m looking for 100x. Doesn’t seem like you get a file - instead, you get an app and they provide analysis which is regularly updated. Not interested in this dynamic - I want the file I can download, in an open format that is not lossy, and I’ll do my own analysis and updates. PASS. YMMV.
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IMO: We’re getting down into the weeds here. Unless you have some compelling special reason or have money to burn to satisfy your curiosity, the 30x is more than adequate. You will be paying an additional ~$ 600+ for information that is probably not very relevant. Your bucks, your choice.
“30x” refers to the coverage or depth, meaning each part of the genome is read an average of 30 times for accuracy."
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Emphasis on average, meaning that some regions are read much less than 30x (maybe 2-10x). Which until now, I didn’t know.
According to AI, here are the points for doing 100x sequencing:
- By bumping to 100x, you ensure that even the “low-coverage” areas likely receive 20x or 30x hits, providing enough data to distinguish a real mutation from a machine error.
- Rare Variant and Mosaicism Detection: If you are looking for mosaicism (mutations present in only a small percentage of cells) or circulating tumor DNA (ctDNA), 30x will miss them entirely. 100x allows you to detect variants that exist in only 5% to 10% of the sample with high statistical confidence.
- Certain areas, like GC-rich regions (where Guanine and Cytosine are dense), are notoriously difficult for sequencers to read.
Still, the recommnendation for 30x is a good option:
- it’s more cost-effective
- good enough if you are going a general health screening, or looking for inherited traits
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Why do you think there is a catch? What is so much better about this than the equivalently priced product from Nebula Genomics?
I was surprised because last year I think they were priced at over $10K, and they are the original company that brought WGS to the market, so I didn’t think they’d be working to equal the prices of the low end competitors. Most of their clientele sign up for the $25K a year program, I think. See this story: Longevity Clinics: Human Longevity Inc., Dr. David Karrow
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