Xilin Tang (Cornell University), Yuqi Mai (Cornell University), William Kuszmaul (Carnegie Mellon University), Alex Conway (Cornell Tech): Succinct and Fast Tiny Pointer Hash Tables https://arxiv.org/abs/2607.28892 https://arxiv.org/pdf/2607.28892 https://arxiv.org/html/2607.28892
Igor Martayan
@imartayan.bsky.social
PhD student in algorithmic bioinformatics at @bonsaiseqbioinfo.bsky.social. Interested in space-efficient data structures, sketching algorithms & high-performance computing https://igor.martayan.org
Riboseek is a fast RNA/DNA search. More sensitive than nhmmer at 250x speed. Structure-aware realignment produces MSAs approaching rMSA quality. Plus 1.7M precomputed RNA MSAs, and an API to search your own 📄 www.biorxiv.org/content/10.6... 💾 github.com/steineggerla... 🌐 search.foldseek.com/riboseek
1/ Excited to share the newest tool in the pangenome MUMiverse: Shredtools! Shredtools enables a user to navigate the pangenome coordinate system with multi-MUMs. More in the thread🧵 Code: github.com/vikshiv/shredtools Interactive tool for querying HPRC assemblies: vikshiv.github.io/shredtools
Navigating the pangenome coordinate system with Shredtools
Existing notions of pangenome coordinates rely on hard-to-compute multiple sequence alignments. On the other hand, pangenome-wide exact unique matches (multi-MUMs) can be computed efficiently, and rep...
biorxiv.org
Ever wanted to quickly check host content of DNA sequences? bede.im/sapiometer
My secret 4th ALGO paper is out! We show a tight space lower on non-minimal k-perfect hash functions, generalize PtrHash into a non-minimal k-PHF, and then use it to develop a hash set implementation that is up to 1.6x faster than other hash sets! With Stefan {Hermann, Walzer} and Peter Sanders
Ragnar Groot Koerkamp, Stefan Hermann, Peter Sanders, Stefan Walzer: Non-minimal k-perfect hashing: Tight lower bounds and an application to fast static hash tables https://arxiv.org/abs/2607.07257 https://arxiv.org/pdf/2607.07257 https://arxiv.org/html/2607.07257
Lossless compression of k-mer matrices enabling random row access https://www.biorxiv.org/content/10.64898/2026.07.03.736306v1
Binary search and and set operations on compacted k-mer lists https://www.biorxiv.org/content/10.64898/2026.06.29.735436v1
synpact: accurate, memory-light PacBio HiFi read mapping via a hierarchy of locally-consistent syncmer blocks https://www.biorxiv.org/content/10.64898/2026.06.28.735066v1
Francisco Olivares, Gonzalo Navarro: Practical Linear-Time Computation of Smallest Suffixient Sets https://arxiv.org/abs/2606.31034 https://arxiv.org/pdf/2606.31034 https://arxiv.org/html/2606.31034
In other news: Great SEA talk by Nathaniel Brown on Orbit, an efficient implementation of the move structure for run-length encoded permutations. Also, congrats on winning a best paper award with this work!
Movi 2 has appeared (as an advance article) in Bioinformatics 🧬 Faster, leaner pangenome queries — half the memory of Movi 1, ~30% faster. Paper: academic.oup.com/bioinformati... Code: github.com/mohsenzakeri/Movi (1/6)
Oh my, a GPU implementation of Super Bloom filters!
Tim Dortmann, Markus Vieth, Bertil Schmidt: cuSBF: A Minimizer-Aware Bloom Filter for Genomic Sequence Data on Modern GPUs https://arxiv.org/abs/2606.24417 https://arxiv.org/pdf/2606.24417 https://arxiv.org/html/2606.24417
Just submitted my PhD thesis on algorithms for fast, large-scale k-mer-based sequence analysis. It's now available to read at phd.martayan.org Take a look and feel free to share! #Bioinformatics #PhDone
Algorithm design and implementation for the scale of sequencing data
phd.martayan.org
Just submitted my PhD thesis on algorithms for fast, large-scale k-mer-based sequence analysis. It's now available to read at phd.martayan.org Take a look and feel free to share! #Bioinformatics #PhDone
Algorithm design and implementation for the scale of sequencing data
phd.martayan.org
Happy to see that K2Rmini was recommended today by PCI Mathematical & Computational Biology. "quickly evaluate whether an arbitrary sequence has a number of k-mer [of interest] matches above or below a threshold." by @imartayan.bsky.social and colleagues: www.biorxiv.org/content/10.1...
Does your designed active site already exist in nature? Is an uncharacterized protein hiding a catalytic site or a pocket? Folddisco answers both, searching millions of structures for a 3D motif in seconds. @natbiotech.nature.com 🧬 📄 www.nature.com/articles/s41... 🧵1/7👇
Structural motif search across the protein universe with Folddisco - Nature Biotechnology
Folddisco enables protein structural motif search in million scale databases.
nature.com
🌎 🧬 🖥️ logan-search.org the tool to query all SRA sequences (Dec 2023 snapshot) — just got major updates. Here's what's new. 🧵 1/12
Glad to announce that our new long-read metagenomic SNP caller, SNooPy, is published in NAR! Existing long-read SNP callers are not designed for metagenomic data, check out our new solution 👉https://academic.oup.com/nar/article/54/10/gkag556/8700491 @narjournal.bsky.social
Now also on arxiv arxiv.org/abs/2606.01190
The anti-lexicographic SUS-anchor: a near-optimal k=1 sampling scheme
In recent years, there has been a renewed interest in the search for low density minimizer schemes. These schemes take a window of $w$ consecutive $k$-mers, and sample one of them: the smallest under ...
arxiv.org
My WABI submission: anti-lexicographic SUS-anchors. For sigma=4, this selection scheme (a k=1 sampling scheme) has density within 1% of the lower bound! The idea: find the smallest* substring that does not have a 2nd occurrence, and sample its start pos. curiouscoding.nl/posts/sus-an...
Congrats to @leoackermann.bsky.social on winning RECOMB's best poster award for his work on compressing pairwise distance matrices! Check it out here: lacker.gitlab.io/pdf/research...
lacker.gitlab.io
Memory-safe high-performance sequence mapping with rammap https://www.biorxiv.org/content/10.64898/2026.05.26.726289v1
Fast Set Operations for Compact k-mer Sets https://www.biorxiv.org/content/10.64898/2026.05.24.727514v1
Is anyone attending #RECOMB2026 with a talk in the Sequencing 2 session who would be willing to switch slots with a talk in Sequencing 1 a day earlier? We’d be very grateful. Please reach out if you might be willing to do this!
More and better human assemblies. Now annotate them to the minute. Special kudos @trhyker.bsky.social @jnalanko.bsky.social and @florisbarthel.bsky.social
The human genome's most variable and clinically important regions (centromeres, telomeres, and acrocentric short arms) have been hardest to study at scale. Thrilled to share KaryoScope, our new preprint that brings them within reach. 🧵 www.biorxiv.org/content/10.6...
wow — the preprint host, arxiv, is banning authors for a year if they submit papers with hallucinated citations 🤖
I find this unsettling: A new study in #Lancet shows that the number of faux citations in scientific articles is on the rise, and #AI is likely to blame. @aniloza.bsky.social reports. www.statnews.com/2026/05/07/l...
Me in group meeting update: Sassy was accepted at Bioinformatics, and Barbell should be accepted soon. Me at end of group meeting update: Both Sassy and Barbell are now accepted at Bioinformatics 🎉 Who will be the first to cite? All thanks to the wonderful work of @rickbitloo.bsky.social!!!
🔍 New paper in Bioinformatics Advances: "Kaminari: A frugal colored index for approximate k-mer queries" Read it here: https://doi.org/10.1093/bioadv/vbag120 Authors include: @yhhshb.bsky.social, @yoann.bsky.social, @robp.bsky.social, @pierrepeterlongo.bsky.social, @jermp.bsky.social
This is now published in Genome Research (doi.org/10.1101/gr.2...). Thank you everyone for your feedback and also the anonymous reviewers who helped to greatly improve the paper. I hope this becomes a useful resource for the community.
Hash functions in nucleotide sequence analysis
Randomness is a powerful tool in the design and analysis of algorithms and data structures for nucleotide sequence data. Nucleotide sequences are not themselves random but are often randomized using hash functions. Despite their widespread use in genomics, there is no comprehensive review of the types of hash functions used and their various applications. In this survey intended for bioinformatic methods developers, we divide hash functions into four categories: scattering hash functions, permutations, minimum perfect hash functions, and locality-sensitive hash functions. For each category, we provide examples of both general-use hash functions that have been applied in nucleotide sequence analysis and hash functions that have been designed specifically for nucleotide sequence analysis. We highlight their salient properties, commonalities, differences, and application areas.
doi.org
1/4 Hash functions in genomic sequence analysis (tinyurl.com/4kk9ccmt) : a new survey written together with Ke Chen, Xiang Li, Qian Shi, and Mingfu Shao. Before submitting it, we are posting it online to get feedback from the community.
The RECOMB-Seq 2026 program is now available! Join us May 24–25 in Thessaloniki, Greece, for two days of cutting-edge biological sequence analysis, with keynotes by Camille Marchet (CNRS) and Manolis Kellis (MIT). Full schedule: recomb-seq.github.io/seq2026/prog... #RECOMBseq
Program
RECOMB-Seq 2026 Web Page
recomb-seq.github.io
New preprint: The SimdQuickHeap is the fastest priority queue by far! 2x faster than a radix heap and up to 10x faster than binary heaps. arxiv.org/abs/2604.25681 with Marvin Williams and Johannes Breitling:
SimdQuickHeap: The QuickHeap Reconsidered
Priority queues are data structures that maintain a dynamic collection of elements and allow inserting new elements and removing the smallest element. The most widely known and used priority queue is ...
arxiv.org