Agriculture Science
Accelerate sustainable crop innovation and development to address global food security challenges
What is HealthOmics for Agricultural Science?
AWS HealthOmics for agricultural science helps researchers develop more resilient and sustainable crops by facilitating rapid experimentation with precision breeding and genomics workflows. HealthOmics handles all the complex infrastructure automatically, so your research teams can focus on science instead of managing compute resources.
HealthOmics enables quick iteration of genomic analyses to assist researchers in developing crops with enhanced traits like reduced bruising, improved drought tolerance, and disease resistance. When promising traits are identified, HealthOmics seamlessly scales to process thousands of data samples, accelerating the path from discovery to field testing.
Key Benefits
Accelerate sustainable agriculture
Rapidly analyze crop genomics data to develop varieties that
reduce supply chain waste, improve yield, and enhance climate resilience.
Precision breeding at scale
Process millions of DNA sequences efficiently to identify
and modify individual genes for targeted trait enhancement, reducing development time from years to months.
Data-driven decisions
Combine genomics data with environmental and phenotypic
information to make informed breeding decisions that address specific agricultural challenges.
Research cost optimization
Align costs with research cycles through transparent, predictable pricing that scales with your testing volume.
Key Features
Multi-omics Integration
Process and analyze diverse biological data types to understand gene-environment interactions and optimize crop development.
Automated Infrastructure Orchestration
Automatically provision and coordinate workflow engines, models, and compute resources without manual configuration, ensuring reliable analysis at any scale.
High-Performance Computing
Access scalable compute resources optimized for intensive
tasks like genome assembly and population genetics analysis.
Industry-Standard Workflows
Run bioinformatics pipelines using familiar languages (WDL,
Nextflow, CWL) while maintaining complete control of your research data and methods.
Customer References
Phytoform Labs used HealthOmics to analyze millions of DNA sequences with their CRE.AI.TIVE Platform, accelerating the development of more sustainable crops like non-bruising potatoes and waste-reducing tomatoes.
Learn more about their research using HealthOmics