| Website | https://humancodes.org |
Edge devices WILL reset.
DON'T PANIC! 👍🏻
Reset Catcher makes power glitches boring and support tickets sleepy. Resets happen but chaos doesn't have to.
Read more at https://www.linkedin.com/pulse/turning-power-glitches-non-events-reliability-story-from-uri-hartmann-ipscf/
My first scientific paper has been published! 🎉
Honored that it’s in GigaScience, a leading open-science journal by Oxford University Press & BGI Group.
Huge thanks to Danny Zeevi, Eran Shaham, Dafna Nathan, Ilana Blech & the lab team 🙏
Yesterday, AWS had a major outage. Meanwhile, t42 Online - fully hosted on AWS - carried on as if nothing had happened. It was almost awkward.
The following article explains why. Turns out resilience works rather well when you build it on purpose.
https://www.linkedin.com/pulse/why-t42-online-stayed-strong-when-cloud-went-dark-uri-hartmann-mplnf
Proud to share that my first scientific paper is released!
TinkerHap improves how we separate DNA from each parent, helping disease research, ancestry studies, organ matching, and personalized medicine.
Huge thanks to Dr. Danny Zeevi and my co-authors.
The paper is available at https://doi.org/10.1101/2025.02.16.638517
Phasing, the assignment of alleles to their respective parental chromosomes, is fundamental to studying genetic variation and identifying disease-causing variants. Traditional approaches, including statistical, pedigree-based, and read-based phasing, face challenges such as limited accuracy for rare variants, reliance on external reference panels, and constraints in regions with sparse genetic variation. To address these limitations, we developed TinkerHap, a novel and unique phasing algorithm that integrates a read-based phaser, based on a pairwise distance-based unsupervised classification, with external phased data, such as statistical or pedigree phasing. We evaluated TinkerHap's performance against other phasing algorithms using 1,040 parent-offspring trios from the UK Biobank (Illumina short-reads) and GIAB Ashkenazi trio (PacBio long-reads). TinkerHap's read-based phaser alone achieved higher phasing accuracies than all other algorithms with 95.1% for short-reads (second best: 94.8%) and 97.5% for long-reads (second best: 95.5%). Its hybrid approach further enhanced short-read performance to 96.3% accuracy and was able to phase 99.5% of all heterozygous sites. TinkerHap also extended haplotype block sizes to a median of 79,449 base-pairs for long-reads (second best: 68,303 bp) and demonstrated higher accuracy for both SNPs and indels. This combination of a robust read-based algorithm and hybrid strategy makes TinkerHap a uniquely powerful tool for genomic analyses. ### Competing Interest Statement The authors have declared no competing interest.
By embracing open-source, this #German state is breaking barriers that often deter companies from adopting #FOSS (@libreoffice this time) due to concerns over governmental compatibility.
Hopefully this will be become the norm🤞🏻
https://blog.documentfoundation.org/blog/2024/04/04/german-state-moving-30000-pcs-to-libreoffice/
Following a successful pilot project, the northern German federal state of Schleswig-Holstein has decided to move from Microsoft Windows and Microsoft Office to Linux and LibreOffice (and other free and open source software) on the 30,000 PCs used in the local government. As reported on the homepage of the Minister-President: Independent, sustainable, secure: Schleswig-Holstein will […]
הו לא! יש לי יום הולדת ופייסבוק נפל!
חשבתי לצאת לרחוב ולקושש ברכות, אבל מה לי ולרחוב. אז כאן.
Oh no! It's my birthday today, and Facebook is down! I considered going out and asking for wishes, but going out isn't really my thing. So, here I am.
BTW, not everyone can celebrate. #BringThemHomeNow
