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Pluto Biosciences - Assays & Analyses Software
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.
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.
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.
Organize -omics and other data to easily search and compare biomarkers across experiments
- Metabolomics
- Proteomics
- Microarray
- Methyl arrays
- Looking for something else? Contact Us
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!
Run fast and flexible bioinformatics analyses with all parameters tracked along the way for end-to-end reproducibility. Examples include:
Summarize raw or normalized values for targets in different sample groups.
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.