Took me a while to realize that Grace Blackwell refers to a person and not an Nvidia chip :)
I’ve worked with large genomic datasets on my own dime, and the default formats show their limits quickly. With FASTA, the first step for me is usually conversion: unzip headers from sequences, store them in Arrow-like tapes for CPU/GPU processing, and persist as Parquet when needed. It’s straightforward, but surprisingly underused in bioinformatics — most pipelines stick to plain text even when modern data tooling would make things much easier :(
Took me a while to realize that Grace Blackwell refers to a person and not an Nvidia chip :)
I’ve worked with large genomic datasets on my own dime, and the default formats show their limits quickly. With FASTA, the first step for me is usually conversion: unzip headers from sequences, store them in Arrow-like tapes for CPU/GPU processing, and persist as Parquet when needed. It’s straightforward, but surprisingly underused in bioinformatics — most pipelines stick to plain text even when modern data tooling would make things much easier :(