We deliver advanced processing and interpretation of RNA sequencing data, transforming complex cellular information into actionable insights. Our team develops custom pipelines tailored to your unique research needs, while seamlessly integrating multi-omic analyses for comprehensive biological understanding.
Our end-to-end sequencing data processing solutions provide comprehensive analysis from raw data to biological insights. We perform sophisticated differential expression analysis to identify key genetic patterns, complemented by detailed pathway and network analysis for deeper understanding of biological mechanisms.
Effectively interrogate high-dimensional omics data with interactive visualization platforms. Our custom applications provide dynamic exploration of processed sequencing data, enabling researchers to query, filter, and analyze results in real time. Designed for multi-omic and single-cell studies, these tools facilitate deeper data interpretation, hypothesis validation, and seamless integration with AI-driven analytics.
Don’t lose out on the power of AI and machine learning to accelerate discoveries. Our advanced computational models analyze sequencing data, detect key genetic patterns, and uncover hidden insights with precision. We integrate LLMs and GPU acceleration to deliver fast, cost-effective, and scalable solutions for biological research.
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DataPrudence is honored to have contributed to the recent study published in JCI Insight, titled "Impact of genetic factors on antioxidant rescue of maternal diabetes–associated congenital heart disease." Our team provided primary processing and expression quantification of RNA sequencing data, supporting the research into how genetic factors influence antioxidant interventions in congenital heart disease associated with maternal diabetes.
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