Data Science

Flagship Biosciences possesses deep expertise in data science, with a highly experienced team specializing in tissue Image Analysis and Genomics data. Our experts leverage advanced analytical techniques to derive meaningful insights from complex data sets. To enhance our proprietary in-house created capabilities, we strategically partner with industry-leading platforms, accessing state-of-the-art technologies that generate robust, reliable data. These collaborations enable us to explore innovative interpretations, uncovering patterns and trends that drive breakthroughs in life science.

Image Analysis

Flagship Biosciences excels in cutting-edge imaging and proprietary image analysis software for tissue sample analysis at the transcriptomics and proteomics levels. We utilize multiplexed in situ RNA detection and multiplex immunohistochemical staining to identify various cell types and their roles within tissue architecture. Our approach couples the power of AI and machine learning with the consultation of expert pathologists, providing you with the highest quality and accuracy in your results.

Our meticulous analysis process includes detecting and decoding individual objects like protein molecules or mRNA molecules (RNAscope), cellular organs, or cells, followed by spatial statistics for objective pattern quantification. Expert analysts guide our proprietary software through image quality control and artifact identification. We use tuned spectral unmixing and train machine learning algorithms to classify both common and client-specified features. Expert data scientists add extra value through custom analysis of data generated by our image quantification and classification algorithms.

Genomics

Flagship Biosciences provides top-tier genomic data analysis using advanced commercial and open-source methods on platforms such as NanoString’s nCounter® and GeoMx® systems and Illumina’s NGS systems (including the NovaSeq™ X Plus). Our computational scientists employ custom code using Bioconductor tools for superior QC and statistical analysis, ensuring accurate, unbiased results with access to the latest methods and algorithms.

For RNA read alignment and quantification, we use StarAligner, and DESeq2 for most differential expression models, switching to GLMMer from the Bioconductor project for more complex designs. Our team expertly matches the correct model to your experimental design for precise outcomes.

In partnership with Genomenon®, we offer access to their extensive rare disease and oncology genetics library, enhancing diagnosis and supporting precision medicine and clinical trials with reliable genomic insights.

Learn More on Genomenon