Rodrigo Mop, DR © Oleo pastel en papel Ciudad de México, 2025 Sitio del autor Esta es una reproducción digital, con fines de divulgación, de una obra original proporcionada por su autor o propietario. Todos los derechos están reservados por el artista.

This week’s recap highlights EviAnn for genome annotation, Vclust for viral genome clustering, MSFT-transformer for disease prediction from metagenomic data, and ConsensuSV-ONT for accurate SV calling on long-read nanopore data.

We are so happy to announce the release of a new package, dcmdata. The goal of dcmdata is to provide easy access to data sets that can be used for demonstrating and testing diagnostic classification models (DCM; also called cognitive diagnostic models [CDMs]). You can install dcmdata from CRAN with: install.packages("dcmdata") This blog post will highlight the major features and plans for future development.

Note This is a version of the AI course policy I’m introducing this semester. 🚫 When in doubt: No. There is no aspect of this course for which it is recommended, appropriate, or acceptable to turn to a Large Language Model (more commonly called an AI) such as ChatGPT. This includes: Working on graded assignments, quizzes, or discussion prompts. As a supplement to the readings or course notes.

There are a number of galaxies that have been reported to lack dark matter. This is weird in a universe made of dark matter. It is also weird in MOND, which (if true) is what causes the inference of dark matter. So how can this happen?

Partizipative Ansätze gewinnen in der Flucht- und Migrationsforschung zunehmend an Bedeutung, doch wie lassen sie sich praxisnah umsetzen? Die Rezension stellt das Methodenhandbuch „Migration Impact Assessment – A Toolbox for Participatory Practices“ von Stefan Kordel und Marika Gruber vor.

Eine Bearbeitung ist im Urheberrecht unter anderem dann ohne Zustimmung der Urheberin erlaubt, wenn sie hinreichend Abstand zum Ursprungswerk aufweist. Doch was ist eine Bearbeitung und wann hat sie den hinreichenden Abstand? Das wird hier anhand eines Beispiels erklärt.

Matt’s staying with me for a few days, and we’re working into the night trying to put a stake through the heart of a long-running project. He just left the room to take a quick break, and I snapped this photo of the work area. We have everything we need!

¿Te gustaría que tus datos de investigación fueran fáciles de encontrar, accesibles, interoperables y reutilizables? Los principios FAIR (Findable, Accessible, Interoperable, Reusable) son la clave para lograrlo. En este post, te explico cómo aplicarlos de manera práctica, con herramientas y consejos útiles. 1. ¿Por qué hacer tus datos FAIR?

From decoding life to redesigning society, the moonshots that chart our biological future

I recently reviewed a manuscript for a biotechnology journal I won’t name. The paper was clearly written by AI. I don’t mean edits or revisions here and there, I mean the entire manuscript. As if they had copied and pasted the entire contents of a certain research organization’s website into ChatGPT and asked for a paper on the topic.