Igor Martayan 🦋

64 posts

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Igor Martayan 🦋

Igor Martayan 🦋

@IgorMartayan

PhD student in algorithmic bioinformatics @Bonsai_Bioinfo w/ @CamilleMrcht Interested in randomized algorithms and space-efficient data structures

Lille, France Katılım Temmuz 2020
80 Takip Edilen90 Takipçiler
Igor Martayan 🦋
Igor Martayan 🦋@IgorMartayan·
We also paid special attention to the computation of canonical minimizers, to ensure that a sequence and its reverse-complement always select the same minimizer positions. This constraint adds a 50% overhead to the running time, resulting in 6s for a human genome.
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Malfoy
Malfoy@BQPMalfoy·
I am super excited to share our latest preprint with @yhhshby, @IgorMartayan, and Lucas Robidou on k-mer representations, introducing Hyperkmer and a novel k-mer counter, KFC! biorxiv.org/content/10.110… 🧵 A thread:
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Giulio Ermanno Pibiri
Giulio Ermanno Pibiri@giulio_pibiri·
The next symposium of experimental algorithms (SEA'25) is going to be in Venice 😎 Amazing invited speakers: Sebastiano Vigna, Daniel Lemire, and Giulia Bernardini! + workshop on compressed self-indexes, featuring Roberto Grossi and Giovanni Manzini! regindex.github.io/sea2025.github…
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Ragnar {Groot Koerkamp} 🦋
Ragnar {Groot Koerkamp} 🦋@curious_coding·
The open-closed mod-minimizer is officially out, with @daniel_c0deb0t and @giulio_pibiri :D A single simple & practical & efficient scheme that is best in class for k>w (closing ~half the remaining gap to optimal), and close to the best there currently is for k<w. 1/5
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Giulio Ermanno Pibiri@giulio_pibiri

This new paper is a follow up of the WABI'24 paper featuring the mod-minimizer: it introduces the "open-closed" mod-minimizer scheme. Fantastic collaboration with @curious_coding and @daniel_c0deb0t! (A bioRxiv preprint is forthcoming.) jermp.github.io/assets/pdf/pap… 1/16

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Karel Břinda
Karel Břinda@KarelBrinda·
Features: '2+o(1)' bits per canon. k-mer for nice k-mer sets (the spectrum like property) and then linear w/the superstr. len (and no assumptions on the k-mer set structure), exact membership queries in O(k) (single) / O(1) streaming, and linear-time construction.
Karel Břinda@KarelBrinda

A new paper from our amazing @sladky_on (jointly supervised with @VeselyPavel_mff) on super space-efficient indexing of arbitrary k-mer sets, introducing the Masked Burrows-Wheeler Transform (MBWT).

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Giulio Ermanno Pibiri
Giulio Ermanno Pibiri@giulio_pibiri·
Results are pretty amazing! (M is classic mini; C is closed-syncmer, O is open syncmer, and OC is open+closed syncmer; the versions with the mod- are their "lifted" versions given by the mod-sampling framework.) 8/10
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Giulio Ermanno Pibiri
Giulio Ermanno Pibiri@giulio_pibiri·
Minimizers' folks: some more news on the development of new sampling schemes. I and @curious_coding are very hyped about it! 🧵 1/10
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Ragnar {Groot Koerkamp} 🦋
Ragnar {Groot Koerkamp} 🦋@curious_coding·
We had the mod-minimizer (blue) and very soon the lower bound preprint will be up (lower red function). Iterating a bit on @daniel_c0deb0t's idea (thanks PyO3 😆), I found this new scheme (dotted red), which halves the gap towards the lower bound, and may well be near-optimal.
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Yaron Orenstein
Yaron Orenstein@OrensteinYaron·
Building upon @curious_coding and @BKille's recent breakthrough in lower bounding the density of local forward selection schemes, my colleagues Golan and Kraus et al. further tightened the lower bound: sites.google.com/view/shaygolan…. What an exciting time to study selection schemes!
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Ragnar {Groot Koerkamp} 🦋
Ragnar {Groot Koerkamp} 🦋@curious_coding·
Allright, I think my blogpost on computing random minimizers is ready to share. Runs in just under 0.5s for a full human genome :) That's 60x-160x faster than some other implementations. As part of this, there's also a 30x faster ntHash implementation. curiouscoding.nl/posts/fast-min…
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Giulio Ermanno Pibiri
Giulio Ermanno Pibiri@giulio_pibiri·
It's official: DSB '25 is going to be in Pisa, 5th and 6th of March! Can't wait for this. #Bioinformatics
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