Let's talk, scientist to scientist

Turnaround times vary depending on several factors, including the number of samples, sample type, and the selected workflow. For example, a typical proteomics analysis involving around 40 samples, covering both wet lab processing and data analysis, generally takes between 8 and 12 weeks. But if your project is on a tight schedule, we offer a fast-track option to prioritize and accelerate progress.

However, timelines may differ, so we recommend reaching out to us with the details of your specific project. We’ll be happy to provide a tailored estimate.

Pricing depends on multiple variables such as the type of analysis, sample type and how many samples are analysed at once.

Generally, the price per sample decreases as the number of samples increases. This is because the time required for sample preparation, instrument setup, quality control, and instrument operation does not differ significantly between, for example, 10 and 30 samples.

We also have extensive experience handling large-scale projects with several hundred samples, and we are happy to advise you on the most cost-efficient setup for your study.

Feel free to reach out to us with your project description and we will happily prepare a tailored price estimate for you.

Our prices are listed exclusive of VAT. For customers in Denmark, Danish VAT will be added where applicable. For business customers in other EU countries, our services are generally invoiced without VAT under the reverse charge mechanism, meaning you account for VAT in your own country. Customers outside the EU are typically invoiced without Danish VAT. As a result, the total amount you pay may depend on your location and tax status.

Yes, we provide academic discounts for eligible researchers and institutions. If you are affiliated with a university or research organization, you can apply for the discount by providing valid proof of academic status.

No, you do not need to have every detail worked out before starting a project with us. At Biogenity, we are happy to guide you through the study design process, including recommendations for the number of replicates and the use of control samples.

Including control samples is often a very good idea, as they provide a reliable baseline that makes it possible to interpret your results more accurately. Controls help you distinguish between meaningful biological signals and background variation, ultimately strengthening the conclusions of your study.

We also encourage the use of replicates. Replicates improve the reliability of your data by reducing the impact of random variation and increasing the statistical power of your analysis. In other words, replicates give you greater confidence that your findings are both accurate and reproducible.

Our team will work with you to design a study that is scientifically sound, cost-effective, and tailored to your research goals.

Sample requirements differ depending on the workflow and sample type, so we always provide individual guidance. As an illustrative, general example on plasma sample: proteomics typically requires 20–200 µl, metabolomics 25–1000 µl, and transcriptomics around 250 µl plasma. For tissue samples, about 30 mg is recommended for metabolomics, while 10–20 mg tissue is usually sufficient for proteomics or transcriptomics. In many cases, we can work with smaller amounts, but this depends on the workflow and needs to be assessed carefully.

We work with a broad range of sample types, including human and animal materials (such as blood, tissue, and biopsies), microbial cultures, secretome, plant material, and various model and non-model organisms. Our team is experienced in handling both standard and challenging samples and will evaluate feasibility on a case-by-case basis. No matter the material, we ensure that preparation is carried out to the highest quality standards, giving you reliable results.

Proper preparation of your samples is essential to ensure the best possible results, and we will provide specific guidance for every project. Given the diverse chemical background between different -omic approaches, there is not “one-fit-all” extraction method. The methods are also very different, therefore separate samples are required.

For proteomics, we generally recommend flash-freezing samples such as cell pellets, blood, or tissue, followed by shipment on dry ice. For cell pellets, it is advisable to wash the cells with cold PBS (4 °C) prior to freezing.

For metabolomics, preparation depends on the downstream workflow. We will provide you with the appropriate protocol(s) tailored to your project to ensure optimal results.

For transcriptomics, flash-frozen samples are usually recommended, although the exact requirements may vary depending on the sample type.

No matter the workflow, our team will guide you step by step in preparing your material, so you can be confident your samples arrive in the best possible condition for analysis.

We work with clients from all over the world, and our laboratories are located in Europe, where all analyses are carried out. Once your project has been confirmed, we will provide you with clear shipping guidelines along with the specific delivery address where your samples should be sent. This ensures that your shipment is handled smoothly and without delays.

As a standard, shipping is not included in our services. Customers are responsible for arranging and covering the costs of shipping their samples to us. Unless otherwise agreed, samples must be shipped frozen and on dry ice to ensure quality and integrity upon arrival.

Please note: Do not ship samples to our office in Aalborg, Denmark, as deliveries sent there cannot be processed.

Yes. We’re happy to review your study design and work with you to optimize it, so the plan is practical, budget-aware, and meets good scientific practice for rigour, reproducibility, statistical power, and data quality.

We can suggest refinements to replicates, controls, randomization/batching, and assay choices, and provide clear guidance on sample handling. Our goal is to ensure that your study is set up to answer your scientific question reliably and efficiently.

While it is always good to have a hypothesis or a question in mind, you do not need to have every detail worked out before starting a project with us. At Biogenity, we are happy to guide you through the study design process and refine your own ideas so that you efficiently use your resources and find relevant answers to your question(s).

Yes. We coordinate multiomics projects and handle the end-to-end integration analysis. You receive per-omics reports plus a combined, bioinformatics overview that links signals across datasets. For cost efficiency, we’ll help you decide when a single-omics design answers your question, and when multiomics is worth it; we also optimize batch sizes, multiplexing, and panel selection to lower the cost per sample.

When you work with Biogenity, you will receive complete access to your raw data along with detailed reports and methods to ensure transparency and reproducibility. We also provide publication-ready figures tailored for manuscripts, presentations, and publications. To make the process easier, we also have the option to assist with uploading your data to the appropriate repositories, and you will have a dedicated meeting with a bioinformatician who will walk you through the results, answer questions, and provide guidance to help you get the most from your analysis.

While it is not always possible to compare data across cohorts, we will assist whenever it can be done to ensure the results are meaningful and reliable. We are also happy to analyse data generated by another provider, as long as it meets standard quality requirements, so you can confidently combine and interpret insights from different sources. We begin with an exploratory meeting to clarify objectives, constraints, and success criteria; if the project moves forward, we set up regular checkpoints at key milestones (study design, QC review, preliminary results, and final interpretation) to keep goals aligned and incorporated throughout.

Text coming up soon.

Absolutely. For recurring studies or multi-phase projects we are happy to explore long-term collaboration models, including framework agreements.