Basepair is a SaaS bioinformatics platform with a unique hybrid architecture that provisions in a customer's own account so that they remain in control of their IT governance, security and usage commitments with AWS. Because it abstracts away the DevOps it can help to accelerate time to production for bioinformatics workloads on AWS by as much as 8X. Moreover, its direct integration with AWS HealthOmics and advanced storage capabilities deliver up to 80% in cost savings.
Basepair is a SaaS platform for genomic data analysis and interactive visualization that can be used for multitude of application areas across epigenetics, genomics, transcriptomics and others.
Bioinformaticians can leverage the powerful CLI or APIs to deploy, orchestrate and scale their custom tools and pipelines built in any workflow language. The platform comes with advanced enterprise features that abstract away the DevOps, accelerating the migration and deployment of Next Generation Sequencing (NGS) workflows to the cloud, freeing you up to focus on the science.
Meanwhile, bench scientists can then use the point-and-click GUI to drag and drop their files to upload their raw data and run either those same custom workflows, or choose from a number of industry standard, peer reviewed tools and pipelines to analyze their data. Instead of just providing the resulting flat files and static html pages, Basepair's reports and project sharing hierarchy streamline interactive exploration of the resulting data and collaboration with bioinformatics teams to validate observations.
Pay-as-you-go per sample pricing includes unlimited users and re-analysis of data, with annual licenses scaling cost effectively to deliver much lower prices per sample.
Minimal configuration allows the platform to:
a) leverage the storage AND compute resources in your own cloud account to benefit from existing pricing agreements and economies of scale with AWS
b) be white labeled to look and feel like your own web portal
c) utilize back end coupon technology to facilitate bundling of analysis with the sale of another product (eg kit, assay, service etc)
Please contact us directly should you be interested in any of these options or additional prepaid pricing schemes.
Highlights
Provision in your own AWS account for both compute as well as storage to put you in control of your own IT governance, security and usage commitments with AWS.
Direct integration with existing implementations of AWS HealthOmics to benefit from associated scalability and cost savings. Extend AWS HealthOmics capabilities through a graphical user interface and interactive visualization at the end of a ready-to-run or private workflow. In addition, obviate the need to prepare a manifest JSON file to load data.
Optional productized white labeling and a coupon-based business operations layer mean Basepair provides a faster and more cost effective way of developing an associated analysis solution for Diagnostics manufacturers.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
You pay per NGS sample analyzed, with the price set by data type. Each sequencing method — such as CRISPR, 16S, bulk RNA-Seq, ATAC-Seq, ChIP-Seq, CUT&RUN, CUT&TAG, Whole Exome, small RNA-Seq, single cell RNA-Seq, and Whole Genome — has its own per-sample rate. Rates vary because sample data sizes differ. A free trial covers 6 samples so you can test first. Two platform licenses, BPPRO (Professional) and BPENT (Enterprise), give access to the SaaS platform. You mix these usage-based sample charges and license options to match your workload.
Top-of-mind questions for buyers
What determines the price per sample for each data type?
The per-sample price is based on the size of the sequencing data. Single cell and Whole Genome samples are the largest, so they cost more. Whole Exome, ATAC-Seq, ChIP-Seq, and RNA-Seq data fall in a middle range. Small panels carry lower per-sample costs because the data is smaller.
Am I charged again if I run multiple analyses on the same sample?
No. Once a sample is uploaded, you pay the per-sample rate once and can run an unlimited number of analyses on it. The charge is tied to the sample, not to each analysis run. The price also covers storage of raw data and results.
How do the BPPRO and BPENT licenses relate to the per-sample charges?
BPPRO and BPENT grant access to the Basepair SaaS platform itself, billed as license units. The per-sample dimensions charge for analyzing individual NGS samples by data type. You combine a license with sample usage to match your workload. Contact the vendor to confirm how each license bundles with sample volume.
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Provisions in customer's own AWS account for both compute and storage resources, maintaining control over IT governance, security, and usage commitments.
Workflow Orchestration and Deployment
Supports CLI and APIs to deploy, orchestrate, and scale custom tools and pipelines built in any workflow language for bioinformatics analysis.
AWS HealthOmics Integration
Direct integration with AWS HealthOmics implementations to extend scalability and cost savings capabilities through graphical user interface and interactive visualization.
Interactive Data Visualization and Reporting
Provides interactive exploration of analysis results through reports and project sharing hierarchy, enabling collaboration and validation of observations beyond static output files.
Multi-Application Genomic Analysis
Supports analysis across multiple application areas including epigenetics, genomics, transcriptomics, and other genomic data analysis domains with industry standard peer-reviewed tools and pipelines.
Reproducible Computational Encapsulation
Compute Capsules provide shareable, traceable, and reproducible encapsulation of code, data, and environments used in computational research with version control and linkage to results produced.
Pipeline Automation and Scaling
Pipelines enable connection, automation, parallelization, and scaling of computational work with visual editor for auto-generating Nextflow code, nf-core imports, or custom code.
Data Lineage Tracking
Lineage Graph maintains an immutable record of how result data is generated, showing source data, processing through Capsules and Pipelines, and output with full traceability.
Centralized Data Management
Unified data management system for organizing all data assets in the cloud and from external sources while tracking lineage, ensuring reproducibility, and reducing duplication.
Open-Source Architecture
Platform built entirely on open-source software enabling full data and workflow portability with capability to export all components at any time without vendor lock-in.
Scalable Bioinformatics Pipeline Execution
Provides optimized computational pipelines for data-intensive analysis with cloud-scale processing capabilities without requiring advanced cloud engineering expertise.
Interactive Data Visualization and Exploration
Enables interactive exploration and visualization of biomedical datasets with collaborative capabilities for real-time data analysis among multiple users.
Data Management and Sharing Infrastructure
Supports ingestion, processing, and sharing of biomedical research data with automated storage cost forecasting and data archival capabilities.
HIPAA-Eligible Cloud Infrastructure
Provisions HIPAA-compliant cloud infrastructure on demand with delegated account administration and compute cost controls.
Reproducible Analysis Workflows
Delivers reproducible bioinformatics analysis through pre-configured pipelines and shared workspace collaboration for standardized research workflows.
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