Preprint alert! TLDR: Super Bloom is a Bloom-filter variant for streaming k-mer queries. It uses minimizers to group adjacent k-mers into super-k-mers and map them to the same memory block. Result: much better locality, faster queries, and with the findere trick, dramatically fewer false positives.

Super Bloom: Fast and precise filter for streaming k-mer queries https://www.biorxiv.org/content/10.64898/2026.03.17.712354v1

looks beautiful! if I still worked on k-mers I'd ... oh, wait...

Inverted colored de Bruijn Graph for practical kmer sets storage https://www.biorxiv.org/content/10.64898/2025.12.08.692073v1

Preprint Alert! With @tmthrz.bsky.social and @rayanchikhi.bsky.social we aim to tackle practical unitigs compression! A thread:

REINDEER2: practical abundance index at scale https://www.biorxiv.org/content/10.1101/2025.06.16.659990v1

The sequence analysis session of #RECOMB2025 is off to a great start with @jimshaw.bsky.social presenting devider, a new algorithm for haplotyping small sequences from long-read sequencing. www.biorxiv.org/content/10.1...

@bonsaiseqbioinfo.bsky.social friends in Seoul @rayanchikhi.bsky.social @imartayan.bsky.social @tmthrz.bsky.social 🫰🏻🫰🏻🫰🏻

@camillemrcht.bsky.social is back on stage to present Vizitig, an interactive visualization tool for sequencing datasets developped by @bdegardins.bsky.social

Now our @tmthrz.bsky.social presenting his approach for compressing collections of unitigs - Rayan Chikhi 🤝🏻 @npmalfoy.bsky.social

Thrilled to have @aliciao.bsky.social as a keynote in @recombseq.bsky.social today!! #RECOMBseq

👋🏻💻🧬

link.springer.com/article/10.1... our article on large scale comparison of datasets in a Minhash-like setting, but for heterogenous document sizes AND keeping lexicographic information, is out in AMB. By @tmthrz.bsky.social @imartayan.bsky.social @camillemrcht.bsky.social @npmalfoy.bsky.social