Abstract

Abstract Maverix Biomics introduces its cloud-based somatic analysis platform, a scientifically sound, end-to-end analysis solution that begins with quality control of fastq reads and leads to somatic variant calling, annotation and interactive analysis and has been validated using paired tumor normal cancer samples from the COSMIC cell line project (CLP). In addition to providing the ability to call somatic variants for cancer populations and features to explore characteristics within each of these populations, another strength of the Maverix Analytic Platform is the ability to compare multiple cancer populations - a limitation in other existing platforms. To support this functionality, our cloud-based platform has been optimized using the biological expectations of COSMIC CLP data and outfitted with interactive features within Maverix's Variant Explorer. Specifically, we maximized the sensitivity and minimized the percentage of unvalidated variants of two COSMIC cancer cell lines - small cell lung carcinoma and renal cell carcinoma. Then interactive analysis of this data using Maverix's Variant Explorer has identified somatic variants and affected genes specific to each cancer population and shared among both cancer populations. Our platform expedites data exploration and the ability to identify similarities and differences among cancer populations which is useful for tumor reclassification and for repurposing targeted therapies based on discovering similar genetic profiles across different types of cancer. Citation Format: Melanie Lou, Holly Beale. Cloud-based somatic analysis platform for populations with paired tumor normal samples. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 5265.

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