Discover how Polly ensures data integrity and reliability through comprehensive QA/QC checks, covering everything from metadata and data matrix validation to complete and transparent reporting.
1,600 hours of data wrangling saved accelerated research on Immune-Mediated Disorders with 5M cells from harmonized, high-quality datasets.
Over 60 high-quality, fully annotated, ML-ready proteomics datasets with 10,000+ samples aligned with inclusion criteria. Accelerated downstream analysis by 24X.
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High-quality research cannot thrive on poor data quality to generate impactful insights.
Poor data quality can affect the reproducibility of research findings.
Missing values in biological datasets lead to unreliable conclusions.
Inconsistent formats and terminology impede data integration.
This top-tier quality assurance technology delivers consistent and reliable data by standardizing formats, ontologies, and controlled vocabularies through 50+ metadata checks. It ensures that the data accurately reflects true observations and aligns seamlessly with defined ontologies, providing reliable and error-free information for data-driven decisions.
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The robust QA/QC report captures all relevant fields and attributes, providing a comprehensive view of the dataset.
Guarantees data completeness by eliminating gaps and ensuring full representation.
Thorough validation checks identify and resolve missing or incomplete data, creating a more robust dataset.
Polly conducts thorough checks on datasets, including schema compliance, lexical errors, ontology alignment, and other checks and more.
These rigorous QC measures ensures your datasets are transparent, reproducible, and fully standardized.
Receive detailed QA/QC reports at the end of each pipeline, including in-depth information on checks, validations, and cell cluster analysis.
Explore your curated data with plots and extensive data exploration tools, ensuring a thorough understanding of the dataset's quality.
Our platform applies rigorous quality assurance and control checks throughout the harmonization process to ensure data is FAIR, accurate, and reliable at every stage.
Even when handling large datasets, we guarantee the highest quality of harmonized and annotated data through scalable and efficient validation processes.
High-quality datasets drives innovation and discovery in Life Science industry.
Data accuracy achieved through rigorous QA/QC checks.
Data types with comprehensive QA/QC reports.
QA/QC checks ensure quality and completeness.
Experts dedicated to review and to ensure top-quality quality datasets at a time.
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Your journey to unlocking scientific discoveries begins here.
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