The feature that I'm most excited about in sourmash 3.3.0 is the ability to directly use compressed SBT search databases.
Previously, if you wanted to search (say) 100,000 genomes from GenBank, you'd have to download a several GB .tar.gz file, and then uncompress it out to ~20 GB before searching it. The time and disk space requirements for this were major barriers for teaching and use.
In v3.3.0, Luiz Irber fixed this by, first, releasing the niffler Rust library with Pierre Marijon, to read and write compressed files; second, replacing our old khmer Bloom filter nodegraph with a Rust implementation (sourmash PR #799); and, third, adding direct zip file storage (sourmash #648).
So, as of the latest release, you can do the following:
# install sourmash v3.3.0 conda create -y -n sourmash-demo \ -c conda-forge -c bioconda sourmash=3.3.0 # activate environment conda activate sourmash-demo # download the 25k GTDB release89 guide database (~1.4 GB) curl -L https://osf.io/5mb9k/download > gtdb-release89-k31.sbt.zip # grab a genome signature - here, download a demo one from OSF curl -L https://osf.io/vhnk4/download > genome.sig # search! sourmash search genome.sig gtdb-release89-k31.sbt.zip
This takes less than 2 GB of disk space total (including conda env), and the search runs in about 3 seconds and 120 MB of RAM.
Using the zip file stuff alone is a slight speed drag (~10-20%?), but the shift to Rust leads to an overall speed increase of about 4x. And you can always unpack the zip file and use the unpacked files directly.
New database releases are coming!
Over the next few months, we plan to release all our SBT databases as zip files!
As usual, per our semantic versioning guidelines, you'll need sourmash v3.3 or later to use the zip files. However, old databases will continue to work for all sourmash v3.x, and probably v4.x as well (and maybe beyond :).