Show HN: I made an open-source Rust program for memory-efficient genomics

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My cofounder and I run a startup in oncology, where we handle cancer genomics data. It occurred to me that, thanks to a recent complexity theory result, there’s a clever way to run bioinformatics algorithms using far less RAM. I built this Rust engine for running whole-genome workloads in under 100MB of RAM. Runtime is a little longer as a result – O(TlogT) instead of O(T). But it should enable whole-genome analytics on consumer-grade hardware.


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Source: github.com

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