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.
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.
CUT&RUN
Profile chromatin and identify loci with high signal-to-noise with this efficient epigenome method.Learn more with a live demo
PRO-seq
Use this run-on variant to map RNA Polymerase II active sites across the genome with single-base resolution.
CUT&Tag
An emerging immunotethering technology, CUT&Tag detects peaks even with low input & sequencing depth.Learn more
ATAC-seq
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
- ELISA
- 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 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.
Imaging
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.
Ready to get started?
Contact us for a personalized demo showing you how Pluto can help your life sciences organization meet its goals today!
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