Omics Studio

Hjem
Danmark
Aalborg
Omics Studio

At Omics Studio, we deliver innovative bioinformatics software solutions that make complex omics data analysis simple and effective.

Focusing on usability and precision, our platform helps researchers accelerate discoveries and drive impactful outcomes.

02/06/2026

𝗧𝗵𝗲𝗿𝗲 𝗶𝘀 𝗻𝗼𝘁𝗵𝗶𝗻𝗴 𝗺𝗼𝗿𝗲 𝗳𝗿𝘂𝘀𝘁𝗿𝗮𝘁𝗶𝗻𝗴 𝘁𝗵𝗮𝗻 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝘁𝗵𝗮𝘁 𝗳𝗿𝗲𝗲𝘇𝗲𝘀 🥶
Anyone who has worked with large omics datasets knows the feeling. You click on a data point. The program slows to a crawl. You wait. You click again. It freezes.

This is one of the most common failure points in bioinformatics tools - and it happens because keeping a complex, data-heavy interface fully responsive is genuinely hard to solve. Most platforms don't.

It was one of the reasons we built our own plotting tools from scratch.

We spent months optimizing specifically for this - so that every interaction in Omics Studio, whether clicking, zooming, or panning across large datasets, stays fluid. No lag. No freezing. No interruptions to your workflow.

Responsiveness isn't a nice-to-have. For a platform built around data exploration, it's the foundation everything else depends on.

👉 Try it out yourself with our 14-day trial at omicsstudio.com

28/05/2026

𝗬𝗼𝘂𝗿 𝗹𝗶𝘀𝘁 𝗼𝗳 𝗿𝗲𝗴𝘂𝗹𝗮𝘁𝗲𝗱 𝗽𝗿𝗼𝘁𝗲𝗶𝗻𝘀 𝗶𝘀 𝗼𝗻𝗹𝘆 𝗮𝘀 𝘂𝘀𝗲𝗳𝘂𝗹 𝗮𝘀 𝘁𝗵𝗲 𝗰𝗼𝗻𝘁𝗲𝘅𝘁 𝗯𝗲𝗵𝗶𝗻𝗱 𝗶𝘁 📚
Identifying up- or down-regulated proteins is a starting point - not a conclusion. The next step is understanding what those proteins actually do, where they're expressed, how they interact, and whether they're clinically relevant.

That's what Database Search in Omics Studio is built for.

From one or more lists of interest, you can pull cross-referenced data directly from UniProt, Reactome, the Human Protein Atlas, and ClinicalTrials.gov - without leaving the platform or manually querying each database separately.

Filter by what matters to your research. Molecular identity. Structure and features. Function and interaction. Expression and localization. The data populates instantly across dedicated tabs, and switching between saved lists updates everything in real time.

Context turns a list of identifiers into biological insight. That's the point.

👉 Try it out yourself with our 14-day trial at omicsstudio.com

26/05/2026

𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗢𝗺𝗶𝗰𝘀 𝗦𝘁𝘂𝗱𝗶𝗼 𝘄𝗮𝘀𝗻'𝘁 𝗷𝘂𝘀𝘁 𝗮 𝗯𝗶𝗼𝗹𝗼𝗴𝘆 𝗽𝗿𝗼𝗯𝗹𝗲𝗺. 𝗜𝘁 𝘄𝗮𝘀 𝗮𝗻 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗽𝗿𝗼𝗯𝗹𝗲𝗺.
When we set out to build a platform that actually works for omics data at scale, we ran into three technical challenges that shaped every architectural decision we've made since.

𝟭. 𝗡𝗼 𝗦𝗵𝗶𝗻𝘆 𝗮𝗽𝗽𝘀. Most tools in this space are built on R Shiny - fast to prototype, but limited when it comes to performance and scalability. We chose to build on ASP.NET from day one. The result is a native web platform that feels responsive and gives us full control over how we scale and extend Omics Studio going forward.

𝟮. 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗼𝘂𝗿 𝗼𝘄𝗻 𝗽𝗹𝗼𝘁𝘁𝗶𝗻𝗴 𝘁𝗼𝗼𝗹𝘀 - 𝗮𝗻𝗱 𝗽𝗮𝘆𝗶𝗻𝗴 𝘁𝗵𝗲 𝗽𝗿𝗶𝗰𝗲. We've talked before about why we built our own plotting library. What we didn't mention is how long it took to get right. Calculating correct plot margins. Registering a click on a single data point reliably. Problems that sound trivial in isolation took a lot of continuous work to resolve into a solution that holds together under real-world conditions.

𝟯. 𝗖𝗹𝗼𝘂𝗱 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝘁𝗵𝗮𝘁 𝘄𝗼𝗻'𝘁 𝗻𝗲𝗲𝗱 𝗿𝗲𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗶𝗻 𝘀𝗶𝘅 𝗺𝗼𝗻𝘁𝗵𝘀. Deploying a data-heavy bioinformatics platform securely and sustainably requires getting the foundation right from the start. We invested in that upfront - so we're not facing a painful infrastructure overhaul the moment we start scaling.

None of this is the glamorous side of building a bioinformatics platform. But it's the work that makes everything else possible.

21/05/2026

𝐖𝐡𝐲 𝐰𝐞 𝐛𝐮𝐢𝐥𝐭 𝐨𝐮𝐫 𝐨𝐰𝐧 𝐩𝐥𝐨𝐭𝐭𝐢𝐧𝐠 𝐭𝐨𝐨𝐥𝐬 𝐟𝐫𝐨𝐦 𝐬𝐜𝐫𝐚𝐭𝐜𝐡 🚧
When we started building Omics Studio, one of the first decisions we had to make was how to handle data visualization. We looked at the existing libraries - and none of them did what we needed.

Some could render the right plot types. Others had decent interactivity. But we couldn't find anything that delivered both - with the level of control required to build a tool that actually works for omics data.

So we built our own.

That decision gave us full control over every interaction - zooming, panning, precise data point selection, and specialized plot types like upset plots - without compromise. It's what allows us to keep building features that fit the biology, not the other way around.

19/05/2026

💡 𝐖𝐡𝐚𝐭'𝐬 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐠𝐨𝐢𝐧𝐠 𝐨𝐧 𝐢𝐧 𝐲𝐨𝐮𝐫 𝐝𝐚𝐭𝐚𝐬𝐞𝐭 - 𝐛𝐞𝐟𝐨𝐫𝐞 𝐲𝐨𝐮 𝐬𝐭𝐚𝐫𝐭 𝐲𝐨𝐮𝐫 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬?
Before drawing any conclusions from your omics data, it helps to get a clear picture of what you're working with. That's exactly what Relative Expression Analysis in Omics Studio is designed for.

In this video, we walk through the interactive heatmap - one of the first places to go when you want a quick read on expression distribution across your samples. You can switch between individual data points and group means, apply Z-score scaling on either axis, flip the view, and hide or show identifiers depending on what you need to see.

When something catches your eye, just click the protein row to add it to your current selection - and save it as a custom list for downstream analysis.

Just load your data and start exploring.
👉 Learn more at omicsstudio.com

13/05/2026

𝐘𝐨𝐮 𝐫𝐚𝐧 𝐭𝐡𝐞 𝐜𝐨𝐦𝐩𝐚𝐫𝐢𝐬𝐨𝐧𝐬. 𝐍𝐨𝐰 𝐰𝐡𝐢𝐜𝐡 𝐩𝐫𝐨𝐭𝐞𝐢𝐧𝐬 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐦𝐚𝐭𝐭𝐞𝐫? 🤔
Running statistical comparisons across multiple conditions is standard. What's harder is making sense of what's consistent - and what isn't - without jumping between tools, exporting lists, and losing your train of thought halfway through.

In the Statistics View in 𝐎𝐦𝐢𝐜𝐬 𝐒𝐭𝐮𝐝𝐢𝐨, you work through your comparisons in the same session. Volcano plots, dot plots, or both - all from the same statistical data you already uploaded. Move between comparisons, spot the patterns, and when something stands out, select it directly from the plot and save it to My Lists.

That list is immediately available for enrichment analysis - ORA, GSEA, whatever comes next. No copy-paste. Everything stays in one place. The biology stays in focus.

👉 𝐖𝐚𝐧𝐭 𝐭𝐨 𝐭𝐫𝐲 𝐢𝐭 𝐨𝐧 𝐲𝐨𝐮𝐫 𝐨𝐰𝐧 𝐝𝐚𝐭𝐚? Start a 14-day trial at https://omicsstudio.com

11/05/2026

👉 𝗟𝗮𝘀𝘁 𝘄𝗲𝗲𝗸 𝗼𝗻 𝗥𝗲𝗱𝗱𝗶𝘁: 𝐖𝐡𝐞𝐧 𝐭𝐡𝐞 𝐜𝐨𝐝𝐞 𝐠𝐞𝐭𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐰𝐚𝐲 𝐨𝐟 𝐭𝐡𝐞 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 🧬
A thread titled simply "Claude" surfaced something r/bioinformatics has been sitting with for a while. With 140 upvotes and 67 comments, it became a place for researchers to articulate a frustration most of them share: they got into science because they like science, not coding. AI tools have become a release valve - handling the scripting so researchers can focus on the biology. One commenter put it plainly: their job had always been to pursue biological insight, and now they finally had more time to do so. But others drew a firm line: AI can write the script, but it does not get to choose the packages or interpret the results. Several admitted to worrying they were becoming dependent and slower at the craft. The coding barrier had not gone away. It had just been outsourced.

The pattern underneath this is familiar. Omics research generates more data than ever, but the tools required to analyse it have historically assumed a level of computational fluency that most wet-lab researchers simply do not have.

Omics Studio was built for exactly this gap. Guided workflows take researchers from uploaded data through expression analysis, statistics, pathway enrichment via ORA and GSEA, and database lookups across UniProt and Reactome - all without writing a single line of code, and without delegating analytical decisions to a tool you cannot fully audit.

Last week's other themes included struggles with RNA-seq interpretation among early-career researchers and challenges with multi-omics publications.

See what your data can reveal at https://omicsstudio.com

30/04/2026

𝐂𝐨𝐧𝐭𝐞𝐱𝐭𝐮𝐚𝐥𝐢𝐳𝐞 𝐰𝐢𝐭𝐡 𝐩𝐫𝐞𝐜𝐢𝐬𝐢𝐨𝐧 ✍️
Good omics research isn't just about finding differences between conditions. It's about understanding what those differences mean.

Are your samples actually separating the way you expect? Which proteins are truly significant - and which are noise? What biological processes are being activated? What does the literature say about your top candidates?

Omics Studio guides you through every question - from PCA and expression analysis, through statistical validation and pathway enrichment, all the way to curated biological databases. Step by step. No code required.

So when you reach a conclusion, you can defend it. That's what contextualizing with precision looks like.

👉 Explore the full workflow at https://omicsstudio.com

28/04/2026

𝗢𝗺𝗶𝗰𝘀 𝗦𝘁𝘂𝗱𝗶𝗼 - 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗶𝗻 𝗯𝗶𝗼𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗰𝘀 𝗶𝘀 𝗻𝗼𝘁 𝗮 𝗰𝗵𝗲𝗰𝗸𝗯𝗼𝘅 ☑
When researchers share sensitive omics data with us, they are placing real trust in our platform - and we take that seriously.

Security in bioinformatics is not a checkbox. Pre-clinical and clinical data, and proprietary research all carry implications that go well beyond a typical SaaS product.

In this video, Patrick talks about how we have built Omics Studio's infrastructure to meet that responsibility - from our Azure-backed architecture and EU-only data residency, to GDPR compliance by design and a Zero Trust security model.

If you work with sensitive research data and want to understand whether Omics Studio fits your organisation's requirements, we are happy to walk you through it.

06/01/2026

🎉 𝐖𝐢𝐬𝐡𝐢𝐧𝐠 𝐞𝐯𝐞𝐫𝐲𝐨𝐧𝐞 𝐚 𝐡𝐚𝐩𝐩𝐲 𝐧𝐞𝐰 𝐲𝐞𝐚𝐫!
As we begin 2026, we’re genuinely excited about what’s ahead. This year marks an important milestone for us with the launch of Omics Studio 1.0 - the first version that truly demonstrates what our team can deliver to researchers.

More importantly, we’re looking forward to the research that will be enabled and driven by Omics Studio.

Throughout 2026, we’ll be sharing new features, platform tours, and updates as the product continues to evolve. If you’re not following us yet, now is a good time to do so.

Wishing you all a strong and exciting start to the year.

Best wishes,
The Omics Studio Team

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Niels Jernes Vej 10
Aalborg
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