Last updated: 2018-12-26

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• ✔ R Markdown file: up-to-date

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• ✔ Repository version: a0fe25c

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      Ignored:    .Rhistory
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Expand here to see past versions:

File	Version	Author	Date	Message
Rmd	a0fe25c	Xiang Zhu	2018-12-26	wflow_publish(“analysis/license.Rmd”)
html	6b9c441	Xiang Zhu	2018-12-26	Build site.
Rmd	2217178	Xiang Zhu	2018-12-26	wflow_publish(“analysis/license.Rmd”)
html	db3c134	Xiang Zhu	2018-10-29	Build site.
Rmd	cda0864	Xiang Zhu	2018-10-29	wflow_publish(“analysis/license.Rmd”)
html	6fcb3cf	Xiang Zhu	2018-10-29	Build site.
Rmd	abed2b1	Xiang Zhu	2018-10-29	wflow_publish(“analysis/license.Rmd”)
html	4cd1ff8	Xiang Zhu	2018-10-19	Build site.
Rmd	7d05b78	Xiang Zhu	2018-10-19	wflow_publish(“analysis/license.Rmd”)
html	1c85967	Xiang Zhu	2018-10-05	Build site.
html	ff6afd0	Xiang Zhu	2018-06-26	Build site.
Rmd	bf31edf	Xiang Zhu	2018-06-26	wflow_publish(files = c(“analysis/index.Rmd”, “analysis/license.Rmd”))
Rmd	cee1a92	Xiang Zhu	2018-06-26	Start workflowr project.

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This notebook is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this notebook are included in the notebook’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the notebook’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

If you use any results from this notebook, please explicitly acknowledge that the results are retrieved from https://doi.org/10.5281/zenodo.1473807, and cite the following article:

Xiang Zhu and Matthew Stephens (2018). Large-scale genome-wide enrichment analyses identify new trait-associated genes and pathways across 31 human phenotypes. Nature Communications 9, 4361. https://doi.org/10.1038/s41467-018-06805-x.

The source code in the notebook is licensed under the GNU General Public License, version 3.0 (GPLv3).

Icons used in this notebook are credited to the Noun Project https://thenounproject.com.

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This reproducible R Markdown analysis was created with workflowr 1.1.1

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