Easy Data Analysis Solutions for Your Lab’s Needs
Data analysis for data generated on the nCounter doesn’t have to be complicated. Unlock the
key biological findings in your data faster and easier with several options available to fit your
lab’s needs.

Multiple Options for Your Next Discovery
With three great options at your fingertips – working with your nCounter data is easier than ever.
nCounter®
DATA ANALYSIS PIPELINE
BETA
The nCounter Data Analysis Pipeline (DAP) is our open-access analysis platform
for all of your nCounter data analysis needs. At your fingertips will be the
power to run quality control, normalization, statistical analysis, and produce
publication-quality figures – all without the need for bioinformatics expertise.
This tool is ideal for researchers who prefer an on-premises option with
advanced analysis capabilities.
- Intuitive and easy-to-use interface
- Designed by Bruker Spatial Biology scientists
- Multiomics compatible with Built-in modules for both RNA and Protein analysis (or combined)
- Tunable normalization and fold-change measurements
- Statistical significance testing
Note:
Before downloading – please ensure you have already installed R ≥ 4.0
The nCounter Data Analysis Pipeline uses R in the background during your
analysis. You will not interact directly with R during your analysis, but you
will need it installed on your computer.
and interpret differential gene expression data without the need for
bioinformatics or programming skills. Being a cloud-based solution, this can
be a great choice for customers working through multi-site collaborations.
Omics Cloud makes analysis of nCounter data easy for:
- Quality Control
- Normalization & Filtering
- Principal Component Analysis
- Clustering
- Pathway Analysis
- Cell Type Profiling
- Differential Expression
- Gene Set Analysis
- Annotation Correlation Analysis
- Multiomic Comparisons
- Public Data Import
nCounter customers can access Omics Cloud at: EuropaXpTM Omics Cloud is developed by EuropaDXTM
Leverage the experience and guidance of our in-house data scientists for your next nCounter project. You’ll save time and effort by trusting your results to a team that knows the data best. DAS can be especially useful for time constrained teams who need rapid and tailored insights to support grant submissions, clinical collaborations, or large cohort studies.
Data Analysis Services projects are available for nCounter IO360, nCounter BC360, or
for any nCounter gene expression panel – off-the-shelf or custom. This can be a great option for
labs that prefer additional support in their data analysis process.
Learn more: Data Analysis Service (DAS) | Reports by scientists for scientists
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