This SaaS product offers high-throughput data processing pipelines for bioinformatics. It provides ready-to-use pipelines and infrastructure to process and analyze large datasets efficiently. Features include automatic data ingestion and enrichment, scalable resource management, and support for various data types like RNA-seq and LCMS.
Features
Ready-to-use Pipelines
Utilize production-ready bioinformatics pipelines to process a variety of multi-omics data types. These are scientifically validated and tailored to specific data types and analysis requirements.
Scale Efficiently With Polly
Use Polly’s managed infrastructure to handle large datasets cost-effectively. Offers auto-scale resources based on usage and supports selecting computational resources for complex jobs.
Automate Data Ingestion & Enrichment
Polly’s harmonization engine allows for large-scale data ingestion, transformation, and curation. It automates identifier mapping, quality checks, and more, while enforcing schema requirements.
Harmonization Engine
Enhances the ability to integrate multi-modal datasets from diverse sources and ensure data quality through structured pipelines.
Gold-standard Data Quality
Ensures compliance with research standards, offering top-tier data quality for reliable research outcomes.
Customizable Curation Engine
Allows you to tailor data curation processes according to specific project needs, supporting easy integration of various data forms.
Scalable Infrastructure
Provides the infrastructure to handle high-speed and scale data processing, with support for large cohort analyses.
Integrated Data Management
Streamline clinical trial data ingestion, curation, and sharing with data integration partners. Automatically annotates experiments with metadata for regulatory filing.
Scalable Infrastructure
Supports R&D pipelines with cloud infrastructure. SOC2, PIPA, and CIPM certified to support data transfer.
AI-Driven Insights
Uses AI for interpreting historical omics data and contextualizing scientific findings.
DIY Workflow Enablement
Automates workflows and harmonizes data across workflows with DIY workflow setup.
99% Data Accuracy
Ensures high data accuracy through continuous quality checks.
Standardized Data Products
Offers standardized data processing with harmonization pipelines.
Deploy Your Data Anywhere
Provides flexible deployment to suit data needs across platforms.
High-impact Guide Requests
Facilitates requests for high-impact guides from public databases, ensuring relevant and licensed sources.
Expert Data Profiling
Experts analyze data needs, scout free and paid sources, and deliver curated data tailored to research purposes.
Multiple Data Sources
Supports access to over 32 data sources including GEO, Zendata, ArrayExpress, PRIDE, and others.
Scalable Harmonization
Offers scalable data harmonization to align diverse data sets for analysis.
Indication Agnostic
Provides indication agnostic data handling, ensuring versatile application across different research needs.
Data Ingestion from Multiple Sources
Ingest data from various sources with built-in validation to ensure data quality and consistency before analysis.
Support for 25+ Data Modalities
Handle diverse data types including genomics, proteomics, and phenotypic data to meet the needs of complex bioscience projects.
Effortless Data Importers
Drag and drop interface and API integration to facilitate easy data importation processes.
Real-Time Data Update and Synchronization
Automatic updates and synchronization of data to provide the latest information for analysis.
Ingestion of Samples
The platform allows for over 5000 samples to be ingested weekly for more than 30 customers. This involves harmonizing data and managing ingest processes to facilitate analytics.
Lower Processing Costs
The Harmonization Engine reduces processing costs by 4 times compared to industry averages. This optimization helps in managing large datasets efficiently while being cost-effective.
Metadata Annotation
Provides 50+ curation models for metadata annotation. These models help ensure that data is accurately organized and analysis-ready.
Data Accuracy
Achieves 99% data accuracy which ensures that the harmonized data retains its integrity and reliability for research and analysis.
Accelerated Data Access
Effortlessly explore and validate data across transcriptomics, proteomics, metabolomics, and more. This feature allows researchers to move from data to insights faster.
Integrated Data Processing and Visualization
The product integrates multiple biomedical data types and supports advanced analytics. It provides a platform for deriving insights through seamless data processing and visualization.
Custom Biomedical Cohort Building
Users can build custom biomedical cohorts using structured data, ensuring that data is easily accessible and usable for research purposes.
AI-assisted cohort builders and custom dashboards
Create precise cohort analyses and customized dashboards with AI assistance, making data management and insights extraction efficient.
Analyze, visualize, and explore across 25+ modalities
Support for conducting comprehensive analysis, visualization, and exploration of data using more than 25 different data modalities, ensuring flexibility and depth in data handling.
4x Faster Insights and Deep Biomolecular Discovery
Accelerate insight generation using AI tools tailored for biomolecular research, allowing faster and deeper exploration of complex biological data.
Virtual Private Cloud
Polly operates in a secure virtual private cloud, ensuring an additional layer of data protection.
Restricted Access Policy
Controls data access based on user roles, ensuring that only authorized personnel can handle sensitive data.
Data Encryption
Employs both in-transit and at-rest encryption with TLS 1.2 protocols and AES-256 encryption for data protection.
Database Security
Utilizes Amazon RDS for secure database storage, with continuous monitoring and threat detection against SQL injections and brute-force attacks.
Multi-Factor Authentication (MFA)
Requires additional verification for administrator access, reducing the risk of unauthorized access through compromised credentials.
Comprehensive Access Logs
Offers detailed logging and auditing of resource and user activities within the production environment.
Encrypted Passwords
Passwords are securely stored, ensuring conformity to stringent internal protocols.
Role-Based Access Control (RBAC)
Ensures fine-grained control over resource access, adhering to the Principle of Least Privilege.
Unified Integration of Diverse Data Types
Integrates clinical data, multi-omics data, and biomedical images as part of a unified framework to facilitate R&D efforts.
Longitudinal Patient Data Accessible
Makes it seamless to access and analyze longitudinal patient data from integrated sources, supporting research and insights.
Multi-modal Data Model
Supports complex multi-modal data by incorporating schemas like OMOP while ensuring data integration beyond these models.
Adherence to Security Standards
Ensures compliance with security protocols such as HIPAA to safeguard data privacy and security in healthcare applications.
Scalable Ingestion
Allows for structured and unstructured data ingestion, enabling seamless integration of different data types into one platform.
Human-in-loop Harmonization
Involves human expertise in the data harmonization process to ensure accuracy and reliability in handling biomedical data.
High Quality Multimodal Data Products
Produces high quality data products by integrating and harmonizing various data modalities, allowing for more comprehensive analyses.
Custom Dashboards and AI-assisted Insights
Offers customizable dashboards to visualize data and provides AI-driven insights to accelerate research and decision-making processes.
Batch Processing
Efficiently processes large-scale omics data with customizable pipelines.
Workflow Orchestration
Automates and manages data processing workflows to increase efficiency.
Pipeline Monitoring
Monitors data processing pipelines to ensure accuracy and speed.
Metadata Annotation
Adds metadata to datasets for better analysis and management.
Data Models
Structures data for efficient storage and retrieval.
Data Versioning & Tracking
Keeps track of data changes and history for consistency.
Data Repositories & Access
Manages storage and access to large datasets.
API & Stream Data Integration
Integrates data from various API and streaming sources.
AI Tools
Implements AI-driven tools for data analysis and processing.
UI Tools
Provides user-friendly interfaces for data management.
Data Science Tools
Offers tools for advanced data analysis and scientific research.
Flexible Pipeline Orchestration
Configure and run multiple ETL pipelines tailored to specific data processing needs in biopharma research, ensuring adaptability for different projects and requirements.
Optimized for High-volume Data Processing
Handle large datasets seamlessly with optimizations to prevent bottlenecks and ensure efficient handling and processing of high data volumes.
Real-time Maintenance
Automatic monitoring and updating of pipelines to ensure optimal performance without manual intervention, reducing downtime and resource use.
4x Cost Savings
Efficient resource management and optimized pipeline operations lead to significant cost reductions compared to traditional ETL solutions.
99% Accuracy with Human-in-the-loop Curation
Ensures curated metadata attains high accuracy levels by combining AI tools with expert human input. This improves gene ID and cell annotation processes.
Advanced Analytics with Deep Curation
Leverages curated data to offer advanced analytics for better insights. Provides tools to process and analyze complex datasets efficiently.
Metadata Harmonization Across the Enterprise
Integrates various metadata types across the organization to ensure consistency and accessibility. Centralizes metadata for streamlined processes.
26+ Complex Modalities Supported
Supports over 26 different data modalities ensuring robust handling of various data types like single-cell RNA sequencing (scRNA-seq), bulk RNA-seq, etc.
Custom Curation
Offers personalized curation of datasets including fields such as age, cell line, cell type, disease, drug, organism, geographical location, sequencing technology, and tissue. This ensures the data is tailored to specific research needs.
Multi-modal Data Curation
Provides customized curation strategies across 25+ data types and 32+ sources, allowing users to handle complex data specific to various indicators and treatments.
Curation at Scale
Manages large datasets efficiently, ensuring that curation can be performed on a large scale without losing quality or precision.
Agile, Future-ready Scalability
Ensures datasets are interoperable and scalable for future needs, supporting evolving research requirements like public, in-house, and EDC-curated data.
Stream Data to Platforms
Use Polly’s APIs to stream data into existing analytical setups, reducing time on formatting and building integrations. It allows users to work with tools of choice.
Bring Applications to the Cloud
Host proprietary or open-source applications on Polly’s cloud with production-ready capabilities. Use command line interface and scale applications as needed.
Build Custom Applications
Collaborate with experts to build and customize science-backed applications catered to research needs. Dedicated managers provide support and handle custom requests.
Single-cell
Supports single-cell data types for analysis and machine learning. Allows integration and processing of complex datasets.
Bulk RNA-seq
Handles bulk RNA sequencing data to facilitate large-scale genomic analyses. Enables integration into the data processing pipeline.
Proteomics
Supports proteomics data to study proteins and their functions. Integrates with existing data models for comprehensive analysis.
Microarray
Compatible with microarray data analyses, enabling detailed examination of expression patterns and supporting various use-cases.
Personalized Atlas
Create personalized single-cell RNA-seq atlases using your data and publicly available datasets to streamline your research process.
ML Solutions
Integrate machine learning solutions to gain deeper insights from your single-cell RNA-seq data, enhancing the precision of your analysis.
Data Visualization
Utilize advanced visualization tools to interpret and represent complex single-cell data effectively and communicate your findings clearly.
Bioinformatics Analysis
Access bioinformatics analysis tools specifically designed to handle single-cell RNA-seq data for more structured and in-depth data examination.
Curated Datasets
Work with curated datasets that ensure the integrity and quality of your single-cell RNA-seq data, providing reliability in research outcomes.
Harmonization Engine
Configures curation processes to fit analysis needs with metadata accuracy and completeness.
Pipeline Solutions
Provides solutions for bulk RNA-seq data processing to accelerate discovery workflows.
ML Solutions
Utilizes machine learning for enhanced data analysis and insights.
Data Visualization
Offers tools for visualizing bulk RNA-seq data for easier interpretation and presentation.
Bioinformatics Analysis
Generates insights from bulk RNA-seq through comprehensive bioinformatics workflows.
Log2 (RMA) Transformation
Polly delivers Log2 (RMA) transformed microarray datasets, ready for seamless integration with any ML model or normalization method.
Metadata Annotation
Polly automatically cleans, harmonizes, and structures your microarray data, annotating it to fit your custom schema.
Quality Assurance
Polly’s platform ensures the data is high-quality, checking for integrity, errors, and bias while adhering to scientific compliance standards.
Data Harmonization
Harmonize microarray data using Polly to integrate and manage datasets efficiently on Polly’s secure cloud.