Computational Biology (Genomics Sequencing)

Industry-standard pipelines used for DNA sequence alignment and variant calling are notoriously bottlenecked by storage I/O. The primary limitation in this workflow is the single-threaded disk I/O access of massive files handled by legacy libraries. Processing a single human genome can take immense time on a CPU cluster. Because these legacy pipelines are too complex to rewrite for modern asynchronous APIs, a transparent interception shim can instantly accelerate population-scale genomic research without altering decades-old bioinformatics source code.