Our client’s requirement
Our client connected with Excelra for a robust, high-throughput pipeline for immune repertoire data analysis within their cloud enablement environment. The pipeline needed to efficiently process hundreds of millions of reads, be scalable for diverse NGS data processing, and offer customized processing options and data visualization for comprehensive analysis.
Our approach
Ensuring reproducible and scalable analysis, we employed the Snakemake workflow manager to construct the pipeline. Leveraging unique bioinformatics solutions, we increased data analysis throughput, efficiently processing vast datasets.
Our tailored workflow generated easily understandable reports, aiding in the discovery of novel antibodies via biopanning and enhancing clone enrichment analysis across multiple binding rounds. This approach supported data-driven biomarker discovery and aligned with industry best practices in computational biology services.
For related examples, explore our Pipeline for Immune Repertoire Data Analysis Case Study and Machine Learning Diagnostic of Prostate Cancer Status, which highlight Excelra’s expertise in AI-powered analytics and cancer cohort analytics.
