Skip to content

1. title of first chapter

1.1 First subtopic

Here you can enter text and create inline citations1 by using the bibtex plugin. Add your references in references.bib, and cite 2 by adding the @refid inside brackets like this [@10.1093/bioinformatics/btt113]

You can also embed videos from a local source (with a relative path) or from an url (like youtube). To use a youtube URL, just attach the ID of the video to a youtube embedded video link: https://youtube.com/embed/. For example, the Elixir training video https://youtu.be/oAD8FdGf8tI has the ID oAD8FdGf8tI, so the final link would be:

![type:video](https://youtube.com/embed/oAD8FdGf8tI)

1.2 Second subtopic

Note

Here you can put a note using admonitions.

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

1.3 Third subtopic

  1. Leyla Garcia, Bérénice Batut, Melissa L. Burke, Mateusz Kuzak, Fotis Psomopoulos, Ricardo Arcila, Teresa K. Attwood, Niall Beard, Denise Carvalho-Silva, Alexandros C. Dimopoulos, Victoria Dominguez Del Angel, Michel Dumontier, Kim T. Gurwitz, Roland Krause, Peter McQuilton, Loredana Le Pera, Sarah L. Morgan, Päivi Rauste, Allegra Via, Pascal Kahlem, Gabriella Rustici, Celia W.G. Van Gelder, and Patricia M. Palagi. Ten simple rules for making training materials FAIR. PLoS Computational Biology, 16(5):1–9, 2020. doi:10.1371/journal.pcbi.1007854. ↩

  2. Nancy J Hoebelheinrich, Katarzyna Biernacka, Michelle Brazas, Leyla Jael Castro, Nicola Fiore, Margareta Hellstrom, Emma Lazzeri, Ellen Leenarts, Paula Maria Martinez Lavanchy, Elizabeth Newbold, Amy Nurnberger, Esther Plomp, Lucia Vaira, Celia W G van Gelder, and Angus Whyte. Recommendations for a minimal metadata set to aid harmonised discovery of learning resources. June 2022. URL: https://doi.org/10.15497/RDA00073, doi:10.15497/RDA00073. ↩