Last updated: 2018-10-29

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• ✔ R Markdown file: up-to-date

  Great! Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results.

• ✔ Repository version: cda0864

  Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility. The version displayed above was the version of the Git repository at the time these results were generated.
  
  Note that you need to be careful to ensure that all relevant files for the analysis have been committed to Git prior to generating the results (you can use wflow_publish or wflow_git_commit). workflowr only checks the R Markdown file, but you know if there are other scripts or data files that it depends on. Below is the status of the Git repository when the results were generated:

  
  Ignored files:
      Ignored:    .Rhistory
      Ignored:    .Rproj.user/
  
  

  Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.

Expand here to see past versions:

File	Version	Author	Date	Message
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).

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This reproducible R Markdown analysis was created with workflowr 1.1.1

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