Congratulations Hiruna Samarakoon (yet to be on bluesky) for winning the #abacbs2025 “Torsten Seemann” Outstanding Bioinformatics Software Developer Award!!! 🎉🎉🎉

Benchmark comparing SLOW5 and POD5 for nanopore raw signal data has now been published at
@GigaScience
academic.oup.com/gigascience/....

Some plots required a log scale - RAM usage and random access time.

Meanwhile, questions by me and @psy-fer.bsky.social on POD5 writing opened months ago are yet to be answered by ONT.
It is very interesting that they have skipped those questions 🤣

Minimod preprint by @sunethsa.bsky.social is out
biorxiv.org/content/10.1...
-similar accuracy to modkit & pb-CpG-tools.
-standard open-source licenses (NOT vendor-specific)
-Simple but faster, on a laptop ~4X for DNA and ~55X for RNA.
Code: github.com/warp9seq/min...

I get these then,
6754
6751
6769
6760
6756
Which seem to match the expected, assuming you are using 1-based coordinates

For many of those who were asking on BLOW5 vs POD5 for nanopore signal data, here is a finally detailed benchmark we did:
biorxiv.org/content/10.1...
Summary: performance of BLOW5 is >= POD5 (from ~= to 100X, see below), with benefit of having ~3 dependencies instead of >50.

Our ex-zd compression paper is now published in Genome Research. ex-zd lossy compression mode can reduce 30-40% of the @nanopore signal data size, and the accuracy scatter is at a similar level to running the original data on two different GPUs.
genome.cshlp.org/content/35/7...

Attending my first inperson London calling #nanoporeconf