Assays & Analyses

Novel discoveries don't come from running a single assay. Unlock productivity with Pluto's flexible platform, where you can finally analyze all of your biological data in one place.

Don't see the technology you're looking for? Contact us to learn more about other techniques and pipelines available.

Volcano Analysis Example

Sequencing-based assays

Store large, raw sequencing data files and transform them into biologically-meaningful results in your browser

Bulk RNA sequencing

Measure genome-wide gene expression with RNA-seq to detect individual & pathway-level changes in transcription.

ChIP sequencing

Map global binding sites with ChIP-seq and visualize results for histones, transcription factors, or any other protein of interest.

Single cell RNA sequencing

Leverage scRNA-seq to hone in on cell type-specific gene expression profiles that change under different conditions.


Profile chromatin and identify loci with high signal-to-noise with this efficient epigenome method.

Learn more with a live demo


Use this run-on variant to map RNA Polymerase II active sites across the genome with single-base resolution.


An emerging immunotethering technology, CUT&Tag detects peaks even with low input & sequencing depth.

Learn more


Detect the unique chromatin landscape & measure changes in accessibility across different samples.

Other high-throughput assays

Organize -omics and other data to easily search and compare biomarkers across experiments

  • Metabolomics
  • Proteomics
  • Microarray
  • Methyl arrays
  • Looking for something else? Contact Us

Low(er) throughput assays

Make the simplest experiments powerful with interactive, customizable figures and robust statistics

  • qPCR
  • Cytokine panels
  • Pharmacokinetics, inhibition and toxicity
  • Microscopy imaging
  • Mesoscale discovery assays
  • And more!

Analysis Types

Run fast and flexible bioinformatics analyses with all parameters tracked along the way for end-to-end reproducibility. Examples include:

Summary Boxplot Analysis

Summary analysis

Summarize raw or normalized values for targets in different sample groups.

Differential analyses

Compare genome-wide gene expression / binding in two groups for significant changes.

Pathway analyses

Run gene set enrichment (GSEA) & other algorithms for pathway-level biology.

Longitudinal analysis

Analyze data collected across multiple time-points, ages, doses, and more.

Dimensionality reduction

Experiment with principal components (PCA), UMAP, t-SNE algorithms for sample clustering.


Highlight representative images with captions & methology alonside their quantification.

Overlap gene lists, run survival analysis, and many more!

Take your analysis to the next level and answer the scientific questions you care about most.

Clustering analysis

Clustering and visualizing samples based on their differentially expressed genes, peaks, or other targets.

Coverage analysis

For epigenetics experiments, visualize genome-wide coverage using deepTools2 tornado plots / heatmaps and TSS profile plots.

See the analyses in action with a personalized demo

Book a time

Ready to get started?

Contact us for a personalized demo showing you how Pluto can help your life sciences organization meet its goals today!

Get a demo