Lee Katz

@lskatz.github.io

Co host of the Micro Binfie podcast

the food safety stuff is another reminder that a large, huge, gigantic part of being a republican is going “lmao why are we spending money to prevent horrifying disasters from happening if they never happen 🤪”

💉 Did you know, if you live in or are traveling to a measles outbreak area, your baby can receive the measles vaccine as early as 6 months❓ Babies under 12 mo are at highest risk for severe disease from measles. Early vaccination provides critical protection during outbreaks.

Measles Prevention and Control Implementation

Please use this page to implement practices in your office to prevent and control measles spread. You’ll find details about measles vaccination recommendations, a sample, customizable measles policy,  and tips to help implement it in your office.

aap.org

It has been many years since I created Annapotater out of the frustration that there was no simple SNP annotation tool at the time. The mainstream tool required Java and if you wanted to have a custom genome, then it was also a pain.

How well do ARG detection pipelines agree when applied to the same data? Spoiler: not very well. In our new preprint, we ran 10 pipelines on 270M microbial unigenes from GMGCv1. The same data can support conflicting biological conclusions! 🧵 www.biorxiv.org/content/10.6...

The elusive resistome: a global comparison reveals large discrepancies among detection pipelines

Identifying antibiotic resistance genes (ARGs) from metagenomic data is critical for studying antimicrobial resistance across microbial communities and pathogens. However, there is no standardized methodology for ARG annotation. Here, we compare ten commonly used ARG detection pipelines by analysing over 270 million prokaryotic genes from the Global Microbial Gene Catalogue across 13 distinct habitats. We observed up to a 45-fold difference in the number of reported ARGs, with a mean Jaccard index of only 16% between pipelines. Pipeline selection profoundly impacted downstream biological interpretations, with drastic changes to estimates of ARG relative abundance and richness, to the characterization of pan- and core-resistomes, and to the class-level composition of the inferred resistome. ARG detection pipelines make different, defensible trade-offs, and no single approach should be treated as authoritative. Therefore, users should justify and communicate choices carefully, as our analyses show that, taken uncritically, the same data can support conflicting biological and ecological interpretations. ### Competing Interest Statement The authors have declared no competing interest. National Health and Medical Research Council of Australia (NHMRC), 2031902 Australian Research Council (ARC), FT230100724 International Development Research Centre (IDRC), 109304-001 Deutsche Forschungsgemeinschaft (DFG), FO1279/6-1 Bundesministerium für Bildung und Forschung (BMBF), F01KI1909A, 01KI2404B Swedish Research Council (VR), 2024-06123, 2019-00299, 2023-01721 Knut and Alice Wallenberg Foundation, KAW 2020.0239 Swedish Foundation for Strategic Research, FFL21-0174

biorxiv.org

Hantavirus is unlikely to spiral into a pandemic. But the real story is this: WHO is on the cruise ship. It's issuing clear guidance. It's coordinating across countries. CDC has been largely silent—no guidance to doctors, no public update.

I don't understand rewrites.bio at all. Most bioinformatics software is distributed with a license. The license specifies exactly what is and is not permitted to do with the software. Yet now one is supposed to ignore the license and adhere to requirements specified by someone on a website??

rewrites.bio - A manifesto for bioinformatics

Principles for responsible AI-assisted rewriting of bioinformatics tools.

rewrites.bio

Phil Ewels@ewels.bsky.social · 5mo ago

rewrites.bio is all pretty common sense stuff: credit original authors, emulate output exactly, maintain what you ship, don't spam open-source maintainers with AI-generated bug reports. I wrote a second blog post covering this part of the story here: seqera.io/blog/rewrite...

www.pnas.org/doi/10.1073/... If you ever need lto be convinced by how bad the "Contributed by" track is at @pnas.org ... Only author: David Lipman, handling editor: David Lipman. Only integrity-free person not embarrassed by such a paper: David Lipman. Even uses "I did" in the abstract. Shameful.

Genomic epidemiology of Salmonella and Campylobacter in poultry production: Quantifying the contribution of primary breeders | PNAS

The US broiler production system processes over 9.3 billion chickens annually through a highly integrated pyramid structure where two primary breed...

pnas.org

Host read removal sounds simple. It's not. 🧫 Ep. 151 of #microbinfie: we talk with @bede.im about Deacon — why alignment-based approaches fall short, the sensitivity/specificity tradeoff, and what it takes to remove host reads at scale. Part 1 of 2. #metagenomics on.soundcloud.com/gEm7QyaTauvd...

151 - Deacon part 1

In this Software Deep Dive episode, we talk with Dr. Bede Constantinides (University of Birmingham) about Deacon, a tool for removing host DNA reads from metagenomic datasets. We discuss why host read

soundcloud.com