Tech-Enabled Services
Optimized for Life Sciences

The cohorts you need. Now.

Visually explore complex, multimodal, longitudinal datasets to identify, analyze, and compare purpose-built cohorts. Create custom, compound phenotypes and connect with genetic and biomedical imaging data. Seamlessly synchronize and share cohorts and analyses between GUI users and R/Python users. Capture context, purpose, and provenance.

Business impact. Fast.

Science-ready software packages for multimodal data analysis informed by years of close partnerships. Or build your own with a running start from extensible, open APIs, and bioinformatics schema. Integrative analytics across public and proprietary datasets and trials. Ad hoc, tertiary analytics with an experience that lets you focus on what you want to ask, not how to ask it. Ensure provenance and reproducibility.

Business impact.
Even faster.

A superset of Analyze. Adds automated massively scalable computing with Burst Mode. Includes Single Cell, Spatial Transcriptomics, Proteomics packages.

Optimal price/performance for cloud files.

Cut cloud storage and operational overhead costs for research data commons and biomedical imaging data. Eliminate over provisioning with infinite elasticity. Accelerate massively parallel cloud computing with unrivaled throughput.

"We continue to marvel at Paradigm4’s ability to manage the ever-growing complexities in the day-to-day work of incorporating new genetics tool sets and the constant expansion of novel, diverse phenotypic data. They have transformed the pace of our daily research."

Ad Hoc Analytics, Collaboration, Visualization

Druggable Target ID and Cohort Selection
GUI-centric cohort exploration and creation	●	●	●
Use Case Solutions Packages with (hundreds) APIs for bioinformatics common queries and computations (R, Python)		●	●
Use Case Solutions Package: Biobank	●	●	●
Use Case Solutions Package: Variant Datastore	●	●	●
Use Case Solutions Package: Single Cell & Spatial Transcriptomics			●
Use Case Solutions Package: Proteomics			●
Unified Data Management and Compute		●	●
Autonomous Elastic Compute			●
Extensibility for New Bioinformatics Algorithms		●	●
Scalability for New Bioinformatics Algorithms			●
Support for ML Workflows (Tensor, Pytorch, more)		●	●
Seamless round trip analyses between GUIs and Notebooks		●	●
GUI-based Association Set Data Explorer: PheGe		●	●
Variant Registry with source and annotations		●	●
Longitudinal data analysis in both Cohort GUI and programmatic solutions packages	●	●	●
OMOP support	●	●	●
Cross-Study Analyses	●	●	●
Customizable Data Visualizations with Popular R and Python graphing packages		●	●
Automated workflows		●	●
Jupyter notebooks for tutorials and documentation		●	●

Creating Analysis-Ready Data

Druggable Target ID and Cohort Selection
Multi-Modal Dataset Support	●	●	●
Complete FAIR Compliance	●	●	●
Preloaded, Ready-to-Use Ontologies (eg SNOMED, OMAP, Human Cell Atlas)	●	●	●
Preloaded, Ready-to-Use Reference Data (eg HG38)	●	●	●
Preloaded, Ready-to-Use Public Datasets (eg TCGA, Association Datasets)	●	●	●
Enterprise VPC Deployment	●	●	●
Variant Registry with source and annotations		●	●
Data Organized & Optimized for Both Discovery and Compute	●	●	●
Automated Annotation for Filtering and Interpretation (eg VEP, Loftee)	●	●	●
Metadata Loading and Creation	●	●	●
Alignment With Specific Version of Reference Genome	●	●	●
Pre-defined data models for biologicial entities	●	●	●
Import & Load Custom File Types and Objects (VCF, TileDB Objects)		●	●
Support for running workflows using Nextflow and Snakemake			●
flexFS Elastic File System for speciality bioinformatics files formats and other file-specific data	●	●	●

Security, Governance, Compliance, Reproducibility

Druggable Target ID and Cohort Selection
ISO27001 Certified	●	●	●
Integration with Enterprise Identity & Access Management	●	●	●
Project and dataset level data access control	●	●	●
High Resolution Logging		●	●
Metadata and Data Versioning	●	●	●
Analytical Environment Versioning	●	●	●

Elastic Data Storage

Launched in 2023 to address the needs of biopharma R&D teams querying vast multimodal datasets simultaneously, flexFS’s cloud-agnostic, infinitely elastic and POSIX-compliant profile has since also proven its value in other data-intensive fields, including climate science and insurance risk modeling.

Its benefits go beyond just reducing operating and cloud costs to something far more critical: clearing bottlenecks that can slow R&D, streamlining the application of data to answer critical questions and delivering business impact faster. Unlike most attempts at building file systems backed by object storage, flexFS strongly delivers on uncompromising performance, reliability, simplicity, and fully networked POSIX-compliance.

Tech-Enabled Services
Optimized for Life Sciences

"We continue to marvel at Paradigm4’s ability to manage the ever-growing complexities in the day-to-day work of incorporating new genetics tool sets and the constant expansion of novel, diverse phenotypic data. They have transformed the pace of our daily research."

Greg Hinkle

Elastic Data Storage

Elastic Data Storage

Interested in REVEALing the impact of your data?

Solutions

Approach

Resources

About

Tech-Enabled Services Optimized for Life Sciences

"We continue to marvel at Paradigm4’s ability to manage the ever-growing complexities in the day-to-day work of incorporating new genetics tool sets and the constant expansion of novel, diverse phenotypic data. They have transformed the pace of our daily research."

Greg Hinkle

Elastic Data Storage

Elastic Data Storage

Interested in REVEALing the impact of your data?

Solutions

Approach

Resources

About

Tech-Enabled Services
Optimized for Life Sciences