Integration of diverse data sources with varying formats and standards, leads to inconsistent data quality and hindering analysis.
Managing varied data types from multiple sources complicates extraction and integration processes.
Growing data volumes demand scalable ETL pipeline for efficient processing.
Diverse data requires customized and user-specific pipelines for optimal analysis.
Leverage our expert bioinformatics services to deploy pre-built, ready-to-use ETL pipelines or build custom solutions tailored to your specific requirements. Our flexible, containerized pipelines support over 30+ modalities, including bulk RNA, single-cell RNA-seq, spatial transcriptomics, CITE-seq, ATAC-seq, proteomics, and more.
Harness our expertise to design and implement customized ETL pipelines with Nextflow, Prefect workflows, or Snakemake, tailored to your specific workflow needs and infrastructure.
Polly is compatible with multiple programming languages, including R, Python, and BASH, and integrates with tools like Nextflow.
Our pipelines can handle high data volumes effortlessly, supporting up to 5 TB and processing 7,000 samples/day with remarkable throughput.
This robust infrastructure allows to automate your data operations, enabling quick updates and smooth optimization with increased throughput & speed.
Keep your pipelines running smoothly with our expert maintenance services, which include debugging, bug fixes, security updates, and performance optimizations.
For advanced needs such as infrastructure deployment, new tool integration, or major feature development, our team provides tailored support.
Hosting pipelines on Polly’s infrastructure can lower costs by 30% to 50% compared to other cloud platforms.
Choose from Multi-tenant or Single-tenant Polly, or let us deploy pipelines on your infrastructure of choice to fit your research needs.
Experience up to 3X faster processing times by optimizing both performance and machine expenses.
Transform data into insights with robust ETL pipelines, fueling breakthroughs in Life Sciences.
Higher processing capacity compared to a standard cloud machine.
Faster data processing.
Lower cost of processing data.
To onboard new pipelines, customized to usecase and to integrate multi-modal biological data.
Your journey to unlocking scientific discoveries begins here.