Edit me to practice contributing to a collaborative Manubot manuscript

This manuscript (permalink) was automatically generated from manubot/try-manubot@e9fd33f on July 9, 2019.

Authors

Abstract

Manubot is an open source tool for writing manuscripts on GitHub in markdown format. Manubot applies the git-based software workflow to scholarly writing, enabling enhanced transparency, collaboration, automation, and reproducibility.

This manuscript is a Manubot demo, intended to give users a playground to practice using Manubot. Everyone is encouraged to try writing with Manubot by editing this manuscript.

Manubot is described in the paper titled “Open collaborative writing with Manubot” [1].

Main text

Lorem ipsum text [2] is a strong introduction for any manuscript.

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.

Manubot makes it easy to cite this manuscript [3]. It has been used to write several manuscripts that are now preprints on bioRxiv [4,5,6,7]. Notice that only [6] has the correct name of the preprint server. Manubot allows authors to overwrite reference information, in this case with a BibTeX file.

Lorem ipsum also makes a strong conclusion.

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.

References

1. Open collaborative writing with Manubot
Daniel S. Himmelstein, Vincent Rubinetti, David R. Slochower, Dongbo Hu, Venkat S. Malladi, Casey S. Greene, Anthony Gitter
(2019-06-25) https://greenelab.github.io/meta-review/

2. Lorem ipsum
Wikipedia
(2019-06-13) https://en.wikipedia.org/w/index.php?title=Lorem_ipsum&oldid=901677965

3. Manuscript Title
John Doe, Jane Roe
(2019-06-26) https://manubot.github.io/try-manubot/

4. GimmeMotifs: an analysis framework for transcription factor motif analysis
Niklas Bruse, Simon J. van Heeringen
Cold Spring Harbor Laboratory (2018-11-20) https://doi.org/gfxrkc
DOI: 10.1101/474403

5. Plasmids for independently tunable, low-noise expression of two genes
João P. N. Silva, Soraia Vidigal Lopes, Diogo J. Grilo, Zach Hensel
Cold Spring Harbor Laboratory (2019-01-09) https://doi.org/gfs47c
DOI: 10.1101/515940

6. Scaling tree-based automated machine learning to biomedical big data with a dataset selector
Trang T. Le, Weixuan Fu, Jason H. Moore
bioRxiv (2018-12) https://www.biorxiv.org/content/10.1101/502484v1
DOI: 10.1101/502484

7. Genotyping structural variants in pangenome graphs using the vg toolkit
Glenn Hickey, David Heller, Jean Monlong, Jonas Andreas Sibbesen, Jouni Siren, Jordan Eizenga, Eric Dawson, Erik Garrison, Adam Novak, Benedict Paten
Cold Spring Harbor Laboratory (2019-06-01) https://doi.org/gf3jfm
DOI: 10.1101/654566