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Pipelines require tokens to run, allowing users to allocate resources efficiently based on your project's requirements.
Servers spin-up on demand with required run-time environments unique to each step in a pipeline. Data is automatically moved from one step to the next.
Our platform executes multiple jobs in parallel. By incorporating automation, the platform promotes dependable and efficient data processing, streamlining research workflows for improved outcomes.
Automated bioinformatics and data management customized for your R&D needs.
Designed to accommodate a diverse range of users from single accounts to small teams and enterprise-level organizations. Our platform's dynamic architecture and adaptable deployment options ensure seamless integration with your existing infrastructure, regardless of your team size or research complexity.
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Our cloud-based solution offers powerful computing capabilities, enabling you to tackle complex research tasks without investing in expensive infrastructure or specialized IT maintenance. Focus on your research goals while enjoying the benefits of advanced bioinformatics resources - no HPC cluster or IT expertise necessary.
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Discover the advantages of flexibility and cost-efficiency with our pay-as-you-go token system. Use tokens on-demand on a per-pipeline basis, ensuring you only pay for the resources you require.
Learn More ►GenomeMiner's base platform subscription provides access to key tools and consulting sessions. For pipeline usage, a system of GenomeMiner tokens (GMT) is implemented. This hybrid pricing model allows for flexible resource management based on your project's requirements
Best suited for individuals or small teams embarking on small genomics projects.
For larger teams or professionals needing more resources and working on medium-sized projects.
Perfect for large corporations or research institutions with extensive genomic needs.
Note: We can migrate your current in-house pipeline to a private pipeline on the GenomeMiner platform.
Process data in high-throughput fashion.
Tools and Pipelines for analysis and genetic engineering.
Scale-up human sample analysis in clinical setting.
Develop proprietary pipelines and implement at scale.
