Igor Martayan

Igor Martayan

@imartayan.bsky.social

PhD in algorithmic bioinformatics at @bonsaiseqbioinfo.bsky.social. Interested in space-efficient data structures, sketching algorithms & high-performance computing https://igor.martayan.org

843 followers359 following97 posts

Igor Martayan reposted

Igor Martayan reposted

Tangentially, @jermp.bsky.social also points out @recombconf.bsky.social is listed as B tier in CORE portal.core.edu.au/conf-ranks/?.... This is something that we should figure out how to address. RECOMB is a premiere conference in comp bio, & it is highly selective. It is `A` tier without question.

portal.core.edu.auportal.core.edu.au
Rob Patro@robp.bsky.social

Ok comp. bio / bioinformatics / genomics friends. Let's talk about @recombconf.bsky.social and, specifically, the way in which the "proceedings" have evolved. This seems like something that we, as a community, should address. RECOMB now has no "published" proceedings in the classic sense.

Igor Martayan reposted

Ok comp. bio / bioinformatics / genomics friends. Let's talk about @recombconf.bsky.social and, specifically, the way in which the "proceedings" have evolved. This seems like something that we, as a community, should address. RECOMB now has no "published" proceedings in the classic sense.

Happy to announce that I'll defend my PhD next Friday (Sept 4) at 2pm CEST! There will be a live stream on Zoom, just send me a message if you'd like to join!

Igor Martayan@imartayan.bsky.social

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

Igor Martayan reposted

Happy to announce that I'll defend my PhD next Friday (Sept 4) at 2pm CEST! There will be a live stream on Zoom, just send me a message if you'd like to join!

Igor Martayan@imartayan.bsky.social

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

Igor Martayan reposted

Obviously this doesn't scale, but I chose to send this junior researcher a (hopefully polite) email with some of my thoughts (written hastily in 30 minutes, not polished). More practicing mathematicians & researchers should advocate for the culture they want, so here's my bit.

Gautam Kamath@gautamkamath.com

I saw someone post a dozen+ AI slop papers purporting to solve niche open problems. This is antisocial behaviour and worse than if the problems stayed open. 0 people understand the solution, and there is no readable writeup. Also, incentive for either is removed.

Igor Martayan reposted

Igor Martayan reposted

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

Igor Martayan reposted

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!

Ben Langmead@benlangmead.bsky.social

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)

Igor Martayan reposted

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👇

nature.comStructural motif search across the protein universe with Folddisco - Nature BiotechnologyFolddisco enables protein structural motif search in million scale databases.

Igor Martayan reposted

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

Igor Martayan reposted

Now also on arxiv arxiv.org/abs/2606.01190

arxiv.orgThe anti-lexicographic SUS-anchor: a near-optimal k=1 sampling schemeIn 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 ...
Ragnar {Groot Koerkamp}@curiouscoding.nl

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...

Igor Martayan reposted

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!

Igor Martayan reposted

More and better human assemblies. Now annotate them to the minute. Special kudos @trhyker.bsky.social @jnalanko.bsky.social and @florisbarthel.bsky.social

Floris Barthel@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...

Igor Martayan reposted

wow — the preprint host, arxiv, is banning authors for a year if they submit papers with hallucinated citations 🤖

Helen Branswell 🇨🇦@helenbranswell.bsky.social

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...

Igor Martayan reposted

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!!!

Igor Martayan reposted

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.

doi.orgHash functions in nucleotide sequence analysisRandomness 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.
Paul Medvedev @pashadag.bsky.social

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.

Igor Martayan reposted

Igor Martayan reposted

Igor Martayan reposted

Turns out that the usual NtHash is not as random as one might think?!?! At least not for minimizers. Seq-hash (and simd-minimizers) already has this fixed by default ;) github.com/rust-seq/seq...

Igor Martayan@imartayan.bsky.social

New blog post! I use ntHash all the time to hash k-mers, yet it turns out it has some unexpected flaws (collision propagation, bias on leading zeros...). The good news: each of them can be fixed! igor.martayan.org/posts/breaki...

Igor Martayan reposted

I'm not looking forward to a future where all the tools are being vibe-rewritten into languages people don't want to learn. Who will maintain all this? The original maintainers won't. It's not the language they were comfortable with. Does the prompter understand the tool well enough?

Phil Ewels@ewels.bsky.social

Super excited to be launching two things today: #RustQC 🦀🧬 and rewrites.bio 🚀 I used AI to rewrite 15 RNA-seq QC tools into a single Rust binary (I've never written any Rust). It ended up being over 60x faster. Here's the story 🧵 seqeralabs.github.io/RustQC/