The large scale and scope of multi-omics data challenges Data Custodians to structure it in a reusable and discoverable manner. Metadata validation is a necessity for good data practices, so that data becomes useful for downstream analysis. Quark enables frictionless data discovery by enforcing a uniform data standard across an institution, through rigorous metadata validation.
Cohort comparison is an integral part of exploratory data analysis in drug discovery pipelines. It requires easy data access, computational skills, and a scalable platform that can analyze large volumes of multi-omics data. Quark provides such a platform where various multi-omics results are unified on a single analytics tab to facilitate multi-dimensional cohort comparisons.
An institution’s investment in powerful compute infrastructure determines its ability to drive drug-discovery, presenting a cost-exclusionary barrier. Even with on-premise HPC, scientists cannot scale their workflows on-demand— unlike cloud computing. Leveraging the latest in computing technology, Quark users can seamlessly auto-scale and accelerate their bioinformatics workflows out of the box.
Many institutions, hospitals and industries develop bioinformatics pipelines tailored to process their own data. This has led to scattered and irreproducible workflow methodologies that compromise collaboration in biomedical research. With Quark, scale and share your workflows without having to worry about inconsistent results.
DNA/RNA Sequencing lays the foundation for targeted biomarker validation in early drug discovery. However, scientists face huge challenges in analysing their own data without a team of bioinformaticians, due to the complexity of workflows and the explosion in AI/ML-based tools. Quark delivers data analytics directly to the bench, democratizing accessibility and accelerating drug discovery.
AWS HealthOmics is a service facilitating the storage and analysis of omics data. Quark enhances this by providing a user-friendly interface for scientists to run large scale, reproducible workflows without any technical expertise. It allows seamless workflow execution, robust data and metadata management capabilities, and powerful analytics to generate actionable insights.
