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Use Polly’s APIs to stream data into your existing analytical setup. Spend no time on formatting data or building point integrations with your cloud system.
Polly offers file converter functions and structures data into an extendable data model that works with the tools you're interested in.
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Consume harmonized datasets with proprietary or open-source applications hosted securely on Polly's cloud.
Dockerize production-ready applications using Polly's command line interface & scale computation to your custom requirements.
Connect your preferred applications to your Atlas on Polly & analyze an array of multi-omics data on the fly.
Work with our experts to build or customize a production-ready, scientifically validated application that caters to your research needs.
Rely on your dedicated account manager for round-the-clock support, maintenance, and customization requests.
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The Dual Mode Data Visualization (Metabolomics App) allows you to perform downstream analysis on both single mode and dual mode for targeted, semi-targeted and untargeted unlabeled metabolomics data to generate insightful visualizations. Read More
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The Labeled LC-MS/MS Workflow tool factors out the contribution from the natural abundance of each element from the signal of each isotopologue peak obtained from LC-MS techniques in a labeling experiment. It also allows you to visualize plots for NA corrected, fractional enrichment and pool totals for single as well as dual labeled data. Read More
The Labeled LC-MS Workflow factors out the contribution from the Natural Abundance (NA) of each element from the signal of each isotopologue peak obtained from LC-MS techniques in a labeling experiment. It provides visualization for fractional enrichment and pool totals for single as well as dual-labeled data. Read More
Phantasus is a web application for visual and interactive gene expression analysis. It supports basic visualization such as heatmaps, filtering methods, R-based methods such as k-means clustering, principal component analysis, and differential expression analysis with the limma package. Read More
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CellxGene was developed by the Chan Zuckerberg Initiative (CZI) in collaboration with the open-source community to analyze and visualize single-cell datasets on Polly. Read More
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