@giulio_pibiri Thanks @giulio_pibiri!

@curious_coding @giulio_pibiri @traingene @SapovalNicolae Lastly, having @curious_coding as co-lead has been a blessing. In addition to being a TeX wizard, his attention to detail and ability to communicate concepts so clearly is impeccable. A great collaborator all-around 🤝

@curious_coding We show that existing sampling schemes are actually a lot closer to being optimal than previously known. Thus, we encourage the usage of the best-known schemes so far. Making these more efficient is ongoing work.

@curious_coding Oof, you hate to see it 🫠

@curious_coding @krsahlin The t-minimizers would be a subset of (w, t)-minmers, right? Since it is picking the rightmost minmer for each window.

@nomad421 Thanks, it has come a long way since then, so I hope you enjoy!

With all of this wrapped up, I’m looking forward to whatever comes next, especially if it involves hopping on the Rust bandwagon (:

@lh3lh3 @aphillippy @erikgarrison @traingene That's not really a strong argument though, since afaik there are no proven ties between 1-locality and Jaccard bias. It would be interesting to see a general relationship between locality and Jaccard estimation bias.

RT @traingene: Happy to announce an open postdoctoral research scientist position in my group @RiceCompSci focused on exciting research que…

RT @txu_teapot: The problem was really fun to work on! And as someone knowing little about genomes at the beginning, I was blessed to have…

This was by far the largest and most collaborative project I’ve ever worked on and what a rewarding experience it was. Thanks to everyone who helped make it happen!

@traingene @RiceCompSci @IllinoisCS Thanks for the introduction! Excited to join the community 🎉