40% Off RNA-Seq Data Analysis
For a limited time through September 30, 2026, Subio's Data Analysis Service is available at 40% off.
During the campaign period, the discounted rates normally offered to Plug-in Set users are available to all customers.
This service may be useful if you have RNA-Seq data but:
- are not sure where to start your analysis
- have run analysis scripts and obtained results, but are not confident in how to interpret them
- want a second perspective on results obtained through outsourced analysis
- want to use public datasets such as GEO in your research
Campaign Details
| Campaign Period | Through September 30, 2026 |
|---|---|
| Campaign Price | $119 per dataset (small dataset: fewer than 100 samples) $299 per dataset (large dataset: 100 samples or more) |
| Regular Price | $198 per dataset (small dataset) $498 per dataset (large dataset) See our full price list. |
| Discount | 40% OFF |
You do not need to own a Plug-in Set to receive these discounted rates during the campaign period.
How We Analyze Your Data
We first review the data you provide and your research objectives, and then determine an appropriate analysis strategy. Depending on the dataset and research question, we perform a range of analyses. See the Data Analysis Service page for details about the analyses we offer.
Rather than mechanically applying a fixed workflow, we consider what needs to be examined based on your data and research objectives.
You Can Also Use the Service for Data You Have Already Analyzed
The service is not limited to data that have not yet been analyzed. You can also use it to review or extend an analysis that is already in progress.
For example:
- you have already run edgeR or DESeq2 yourself
- you received a DEG list from a collaborator
- you received analysis results from an external service provider
- you want to review your analysis strategy before submitting a manuscript
We can review your current results and, when appropriate, reanalyze the data using a different approach.
Review the Results Yourself in Subio Platform
When appropriate, we provide the analysis results in a format that allows you to review them yourself in Subio Platform.
Rather than simply receiving the final results, you can examine:
- why particular genes were selected as candidates
- how samples are distributed in PCA
- how gene expression actually changes across samples or groups
- how filtering or normalization affects the results
We place importance on keeping the analysis process transparent rather than treating it as a black box.
How to Get Started
You are welcome to contact us even if you are still wondering, "Can this dataset be analyzed?" or "What kinds of analyses are possible?" Please tell us about your data type, number of samples, and research objectives.