A cloud-based platform built on a cutting-edge tech stack to enable life science organizations to move towards a data-centric discovery paradigm.
Code-first benefits for exploring ML-ready data on the platform.
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Integrate your internal data with relevant public studies and store it on your Polly Atlas. Reduce time spent on analysis by minimizing context switching and heterogeneity.
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Leverage Polly's capabilities by exporting data to your preferred platforms using API-based integrations. Stream ML-Ready data from Polly to Data warehouses, visualization tools & computational platforms.
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Create cohorts of your choice by integrating datasets from multiple sources using complex and scalable queries. Query millions of records in one go at the study, sample & feature level using familiar SQL queries.
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Slice and dice data on the cloud without downloading it to your local storage. Analyze large datasets from one or more studies using Polly's programmatic interface to save time and resources on the local machine.
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Use notebooks, dockerized pipelines, or applications to scale computation on large data with compute-resources on-demand. Perform complex analyses and process large files with Polly's scalable cloud infrastructure.
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Polly gives you complete control over your analysis, automatically keeping a record of your workflow. Rollback and redo computations through a version control system built into Polly.
Integrate your internal data with relevant public studies and store it on your Polly Atlas. Reduce time spent on analysis by minimizing context switching and heterogeneity.
Leverage Polly's capabilities by exporting data to your preferred platforms using API-based integrations. Stream ML-ready data from Polly to Data warehouses, visualization tools & computational platforms.
Create cohorts of your choice by integrating datasets from multiple sources using complex and scalable queries. Query millions of records in one go at the study, sample & feature level using familiar SQL queries.
Slice and dice data on the cloud without downloading it to your local storage. Analyze large datasets from one or more studies using Polly's programmatic interface to save time and resources on the local machine.
Use notebooks, dockerized pipelines, or applications to scale computation on large data with compute-resources on-demand. Perform complex analyses and process large files with Polly's scalable cloud infrastructure.
Polly gives you complete control over your analysis, automatically keeping a record of your workflow. Rollback and redo computations through a version control system built into Polly.
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Extract deeper insights from the data at hand with applications, integrations & visualizations.
Request high-impact studies from your favourite journals, databases, or publications. All data is delivered in processed, QC-ed, and ready-to-analyze formats on Polly
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Minimize manual searches for data using filtering and search capabilities built into OmixAtlas. Leverage richly annotated datasets to understand behavior across cohorts.
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Use Polly APIs to integrate your preferred open-source or third-party applications and expand your toolset for research. Alternatively, bring your tried and tested in-house workflows, dashboards, or web applications to Polly.
Use Polly's extensive data and metadata summaries to assess the quality and usefulness of your chosen dataset. Obtain a distribution of cohorts per dataset to determine statistical robustness.
Use notebooks, dockerized pipelines, or applications to scale computation on large data with compute-resources on-demand. Perform complex analyses and process large files with Polly's scalable cloud infrastructure.
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Plug in harmonized data into native Polly Applications to examine categorical metadata, check gene expression across datasets, or examine molecular signatures.
Request high-impact studies from your favourite journals, databases, or publications. All data is delivered in processed, QC-ed, and ready-to-analyze formats on Polly.
Minimize manual searches for data using filtering and search capabilities built into OmixAtlas. Leverage richly annotated datasets to understand behavior across cohorts.
Use Polly APIs to integrate your preferred open-source or third-party applications and expand your toolset for research. Alternatively, bring your tried and tested in-house workflows, dashboards, or web applications to Polly.
Use Polly's extensive data and metadata summaries to assess the quality and usefulness of your chosen dataset. Obtain a distribution of cohorts per dataset to determine statistical robustness.
Use notebooks, dockerized pipelines, or applications to scale computation on large data with compute-resources on-demand. Perform complex analyses and process large files with Polly's scalable cloud infrastructure.
Plug in harmonized data into native Polly Applications to examine categorical metadata, check gene expression across datasets, or examine molecular signatures.
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Unparalleled security, scalability & flexibility with enterprise-grade features for R&D teams.
Access and consume data and services on Polly through an isolated virtual network that you define. Ensure that only trusted entities can access assets in the virtual private cloud.
Polly ensures enterprise-grade security by preventing unauthorized access to your assets, cloud encryption of data (storage & in-transit), frequent security audits & patches.
Give managers control and users the appropriate level of access they need with role-based access control. Minimize vulnerabilities & data breaches with customizable policies.
Import, sync and manage data distributed across your organization on a central repository. Break data silos across the enterprise, increase data visibility, accessibility & collaboration.
Polly's highly responsive customer success team helps with scaling, research design, customized solutions, and more. We provide dedicated project management to resolve issues on priority.
Polly enables FAIRification of enterprise data with centralized metadata & tag management to ensure all your data assets conform to an in-house schema. Replace legacy data management practices to reuse data effectively.
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