Serendipity. I did not plan this hack at the BioHackathon Europe 2021 but it happened anyway. Based on earlier work in the Journal of Cheminformatics, extending on the work by Krewinkel et al. I looked into the idea of using the Lua filter for BioHackrXiv, a preprint server for BioHackathons. Actually, I started by looking at the Citation Styling Language file used by the BioHackrXiv tools. But that was just wrong.

Long story short: it worked! Thanks to the encouragements from Pjotr and Tazro and suggestions from Lars and some code on how to dump a Lua data structure to stdout.

In the Markdown/BibTeX combination you would normally write [@bibtexkey] to add the reference to the article with the given key in the .bib file.
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The Whitepaper

For some time now this whitepaper for an ELIXIR Toxicology community has been in preparation and I am pleased it is now online. There will be another layer of review, but a proper peer review process by F1000Research. So, the paper is both finished and a preprint.

How to join?

A website site is under development, as is a logo. But you can already join the mailing list. I am looking forward to seeing you there.

Many moons ago I was involved in LinuxFocus (Wikipedia entry), and Open Access magazine around the Linux operating system. Over a few years I translated articles and wrote a few articles that themselves got translated into other languages, including the main supported languages English, Chinese, Arabic, Dutch, French, German, Italian, Korean, Portugues, Polish, Russian, Spanish, and Turkish. Some scientific journals do this kind of translation too, like Angewandte Chemie.
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One thing the pandemic brought me was a strong interest in understanding the SARS-CoV-2 virus better. I am not a virologist, but I do know how to read the literature. Sadly, I stopped reading SARS-CoV-2 literature a year ago. It was getting too serious, too exhausting. I'm trying to find the energy to pick it up again. You will find me repeatedly mention learnability, an undervalued aspect of usability. One of the strengths of linked data is its support for learnability.
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This blog deals with chemblaics in the broader sense. Chemblaics (pronounced chem-bla-ics) is the science that uses computers to solve problems in chemistry, biochemistry and related fields. The big difference between chemblaics and areas such as chem(o)?informatics, chemometrics, computational chemistry, etc, is that chemblaics only uses open source software, open data, and open standards, making experimental results reproducible and validatable. And this is a big difference!
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