Create accountLogin

Recent searches

No recent searches

Search options

Only available when logged in.
techhub.social is one of the many independent Mastodon servers you can use to participate in the fediverse.
A hub primarily for passionate technologists, but everyone is welcome

Administered by:

Server stats:

4.8K
active users

techhub.social: AboutStatusProfiles directoryPrivacy policy

Mastodon: AboutGet the appKeyboard shortcutsView source codev4.3.8

#reproducible

1 post1 participant0 posts today
Public
Johannes Rainer

We just added a #reproducible example for large-scale #metabolomics data preprocessing using the @bioconductor #xcms package to @phili 's #Metabonaut tutorials resource! 💪

rformassspectrometry.github.io

runs also on a standard 💻 - thanks to the new memory-saving processing in #xcms

using the largest (n=4000) data set from MetaboLights

rformassspectrometry.github.ioLarge Scale Data Preprocessing with xcms
#rstats#teammassspec
Public *
F-Droid

We are celebrating 10 years of #reproducible builds in #FDroid this year, and we are overhauling the way the build server works.

Thanks to the funding from #NLnet, #NGI #NGI0 part of #HorizonEurope, and your donations, our work is intended to power the future of #FDroid for the next ten and more.

Dig deeper for the why and the how in this 15 mins post: f-droid.org/2025/05/21/making-

f-droid.orgMaking reproducible builds visible | F-Droid - Free and Open Source Android App RepositoryOur lives are moving into the digital realm, our private data flows throughall sorts of software. As software controls more and more of our lives, itis becom...
Public
Gea-Suan Lin

Debian 的 Live Image 可以重現構建了 (reproducible build)

在 Hacker News 上看到「Debian bookworm live images now reproducible (lwn.net)」，在 Debian 上的 Live Image 可以重現了構建了：「Debian bookworm live images now fully reproducible」。 Reproducible builds 可以證明 build 出來的東西沒有被「私下」加料，因為其他人也可以拿一樣的 source 編出同樣的 binary。 因為這是 OS 層的東西，算是 chain of trust 非常前端的一環，對於很在意安全性的人來說，這點讓 Debian 變成了可被稽核驗證的項目，而非單純相信原廠…

blog.gslin.org/archives/2025/0

Gea-Suan Lin's BLOG · Debian 的 Live Image 可以重現構建了 (reproducible build)在 Hacker News 上看到「Debian bookworm live images now reproducible (lwn.net)」，在 Debian 上的 Live Image 可以重現了構建了：「Debian bookworm live images now fully reproducible」。 Reproducible builds 可以證明 build 出來的東西沒有被「私下」加料，因為其他...
#builds#chain#debian
Public
CodeRefinery

Reproducible Research: Make your work stand the test of time

If you ran your code in a year, would it still work? 🤔

In this session, we teach you how to make your research #reproducible — so your results can be trusted and built upon.

📅 Join our workshop: coderefinery.github.io/2025-03

coderefinery.github.ioCodeRefinery workshop March 25-27 and April 1-3, 2025Free workshop on git, testing, documentation, and more in a workshop - for researchers and scientists.
Public
bffo

From #arXiv | From #FAIR to #CURE: Guidelines for Computational #Models of Biological #Systems | #OpenScience #FAIR #CURE #Credible #Understandable #Reproducible #Extensible #Biology #Bioinformatics 🧬 🖥️ 🧪 🔓
⬇️
arxiv.org/abs/2502.15597
arxiv.org/abs/2502.15597

arXiv logo
arXiv.orgFrom FAIR to CURE: Guidelines for Computational Models of Biological SystemsGuidelines for managing scientific data have been established under the FAIR principles requiring that data be Findable, Accessible, Interoperable, and Reusable. In many scientific disciplines, especially computational biology, both data and models are key to progress. For this reason, and recognizing that such models are a very special type of 'data', we argue that computational models, especially mechanistic models prevalent in medicine, physiology and systems biology, deserve a complementary set of guidelines. We propose the CURE principles, emphasizing that models should be Credible, Understandable, Reproducible, and Extensible. We delve into each principle, discussing verification, validation, and uncertainty quantification for model credibility; the clarity of model descriptions and annotations for understandability; adherence to standards and open science practices for reproducibility; and the use of open standards and modular code for extensibility and reuse. We outline recommended and baseline requirements for each aspect of CURE, aiming to enhance the impact and trustworthiness of computational models, particularly in biomedical applications where credibility is paramount. Our perspective underscores the need for a more disciplined approach to modeling, aligning with emerging trends such as Digital Twins and emphasizing the importance of data and modeling standards for interoperability and reuse. Finally, we emphasize that given the non-trivial effort required to implement the guidelines, the community moves to automate as many of the guidelines as possible.
ExploreLive feeds
About