This repository uses Manubot to automatically produce a manuscript from the source in the content
directory.
Manuscript text should be written in markdown files, which should be located in content
with a digit prefix for ordering (e.g. 01.
, 02.
, etc.) and a .md
extension.
For basic formatting, check out the CommonMark Help page for an introduction to the formatting options provided by standard markdown. In addition, Manubot supports an extended version of markdown, tailored for scholarly writing, which includes Pandoc's Markdown and the extensions discussed below.
Within a paragraph in markdown, single newlines are interpreted as whitespace (same as a space). A paragraph's source does not need to contain newlines. However, "one paragraph per line" makes the git diff less precise, leading to less granular review commenting, and makes conflicts more likely. Therefore, we recommend using semantic linefeeds — newlines between sentences. We have found that "one sentence per line" is preferable to "word wrap" or "one paragraph per line".
Manubot supports markdown tables.
| Column 1 | Column 2 | Column 3 |
|----------|----------|----------|
| value_a | 1 | 47 |
| value_b | 2 | 56 |
Table: Caption for this example table. {#tbl:example-id}
Support for table numbering and citation is provided by pandoc-tablenos
.
Above, {#tbl:example-id}
sets the table ID, which creates an HTML anchor and allows citing the table like @tbl:example-id
.
For easy creation of markdown tables, check out the Tables Generator webapp.
Figures can be included with the following markdown:
![Caption for the example figure.](url_or_path_to_figure){#fig:example-id}
Support for figure numbering and citation is provided by pandoc-fignos
.
This figure can be cited in the text using @fig:example-id
.
In context, a figure citation may look like: Figure {@fig:example-id}B shows …
.
For images created by the manuscript authors that are hosted elsewhere on GitHub, we recommend using a versioned GitHub URL to embed figures, thereby preserving exact image provenance.
When embedding SVG images hosted on GitHub, it's necessary to append ?sanitize=true
to the raw.githubusercontent.com
URL.
For example:
https://raw.githubusercontent.com/greenelab/scihub/572d6947cb958e797d1a07fdb273157ad9154273/figure/citescore.svg?sanitize=true
Figures placed in the content/images
directory can be embedded using their relative path.
For example, we embed an ORCID icon inline using:
![ORCID icon](images/orcid.svg){height="13px"}
The bracketed text following the image declaration is interpreted by Pandoc's link_attributes
extension.
For example, the following will override the figure number to be "S1" and set the image width to 5 inches:
{#fig:supplement tag="S1" width="5in"}
We recommend always specifying the width of SVG images (even if just width="100%"
), since otherwise SVGs may not render properly in the WeasyPrint PDF export.
Manubot supports Pandoc citations via pandoc-citeproc
.
However, Manubot performs automated citation processing and metadata retrieval on in-text citations.
Therefore, citations must be of the following form: @source:identifier
, where source
is one of the options described below.
When choosing which source to use for a citation, we recommend the following order:
- DOI (Digital Object Identifier), cite like
@doi:10.15363/thinklab.4
. Shortened versions of DOIs can be created at shortdoi.org. shortDOIs begin with10/
rather than10.
and can also be cited. For example, Manubot will expand@doi:10/993
to the DOI above. We suggest using shortDOIs to cite DOIs containing forbidden characters, such as(
or)
. - PubMed Central ID, cite like
@pmcid:PMC4497619
. - PubMed ID, cite like
@pmid:26158728
. - arXiv ID, cite like
@arxiv:1508.06576v2
. - ISBN (International Standard Book Number), cite like
@isbn:9781339919881
. - URL / webpage, cite like
@url:https://nyti.ms/1QUgAt1
. - Wikidata Items, cite like
@wikidata:Q50051684
. Note that anyone can edit or add records on Wikidata, so users are encouraged to contribute metadata for hard-to-cite works to Wikidata as an alternative to using araw
citation. - For references that do not have any of the persistent identifiers above, use a raw citation like
@raw:old-manuscript
. Metadata for raw citations must be provided manually.
Cite multiple items at once like:
Here is a sentence with several citations [@doi:10.15363/thinklab.4; @pmid:26158728; @arxiv:1508.06576; @isbn:9780394603988].
Note that multiple citations must be semicolon separated.
Be careful not to cite the same study using identifiers from multiple sources.
For example, the following citations all refer to the same study, but will be treated as separate references: [@doi:10.7717/peerj.705; @pmcid:PMC4304851; @pmid:25648772]
.
The system also supports citation tags, which are recommended for the following applications:
- A citation's identifier contains forbidden characters, such as
;
or=
, or ends with a non-alphanumeric character other than/
. In these instances, you must use a tag. - A single reference is cited many times. Therefore, it might make sense to define a tag, so if the citation updates (e.g. a newer version becomes available), only a single change is required.
Tags should be defined in content/citation-tags.tsv
.
If citation-tags.tsv
defines the tag study-x
, then this study can be cited like @tag:study-x
.
The Manubot workflow requires the bibliographic details for references (the set of all cited works) as CSL (Citation Style Language) Items (also known as citeproc JSON).
The Manubot attempts to automatically retrieve metadata and generate valid citeproc JSON for references, which is exported to output/references.json
.
However, in some cases the Manubot fails to retrieve metadata or generates incorrect or incomplete citeproc metadata.
Errors are most common for url
references.
For these references, you can manually specify the correct CSL Data in content/manual-references.json
, which will override the automatically generated reference data.
To do so, create a new CSL JSON Item that contains the field "standard_citation"
with the appropriate reference identifier as its value.
The identifier can be obtained from the standard_citation
column of citations.tsv
, which is located in the output
branch or in the output
subdirectory of local builds.
As an example, manual-references.json
contains:
"standard_citation": "url:https://github.com/greenelab/manubot-rootstock"
The metadata for raw
citations must be provided in manual-references.json
or an error will occur.
For example, to cite @raw:private-message
in a manuscript, a corresponding CSL Item in manual-references.json
is required, such as:
{
"type": "personal_communication",
"standard_citation": "raw:private-message",
"title": "Personal communication with Doctor X"
}
All references provided in manual-references.json
must provide values for the type
and standard_citation
fields.
For guidance on what CSL JSON should be like for different document types, refer to these examples.
content/metadata.yaml
contains manuscript metadata that gets passed through to Pandoc, via a yaml_metadata_block
.
metadata.yaml
should contain the manuscript title
, authors
list, keywords
, and lang
(language tag).
Additional metadata, such as date
, will automatically be created by the Manubot.
Manubot uses the timezone specified in build.sh
for setting the manuscript's date.
For example, setting the TZ
environment variable to Etc/UTC
directs the Manubot to use Coordinated Universal Time.
We recommend authors add themselves to metadata.yaml
via pull request (when requested by a maintainer), thereby signaling that they've read and approved the manuscript.
The following YAML shows the supported key–value pairs for an author:
github: dhimmel # strongly suggested
name: Daniel S. Himmelstein # mandatory
initials: DSH # strongly suggested
orcid: 0000-0002-3012-7446 # mandatory
twitter: dhimmel # optional
email: [email protected] # suggested
affiliations: # as a list, strongly suggested
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania
- Department of Biological & Medical Informatics, University of California, San Francisco
funders: GBMF4552 # optional
Note that affiliations
should be a list to allow for multiple affiliations per author.
If you experience any issues with the Manubot or would like to contribute to its source code, please visit manubot/manubot
or manubot/rootstock
.
For additional examples, check out existing manuscripts that use the Manubot (some of which are still in progress):
- Satoshi Nakamoto's Bitcoin Whitepaper (source, manuscript, commentary)
- The Sci-Hub Coverage Study (source, manuscript)
- The GimmeMotifs manscript on transcription factor motif analysis (source, manuscript)
- A Report for the Vagelos Scholars Program by Michael Zietz (source, manuscript)
- The Deep Review (source, manuscript)
- Ten Quick Tips for Deep Learning (source, manuscript)
- The Meta Review (source, manuscript)
- A review of Network Methods for Multiomic Data Integration (source, manuscript)
- The Project Rephetio Manuscript (source, manuscript)
- A Literature Review for Project Planning by David Slochower (source, manuscript)
- The TFSEE Manuscript by Venkat Malladi et al. (source, manuscript)
- Creating a Global Emissions Timeseries dataset by Robert Gieseke et al. (source, manuscript)
- The yt 3.0 methods paper (source, manuscript)
- The TPOT-DS Manuscript (includes Hypothesis annotations, source, manuscript)
- The Manubot 2018 Development Proposal (source, manuscript)
If you are using the Manubot, feel free to submit a pull request to add your manuscript to the list above.
To cite the Manubot project or for more information on its design and history, see @url:https://greenelab.github.io/meta-review/
:
Open collaborative writing with Manubot
Daniel S. Himmelstein, David R. Slochower, Venkat S. Malladi, Casey S. Greene, Anthony Gitter
Manubot Preprint (2018) https://greenelab.github.io/meta-review/
We would like to thank the contributors and funders whose support makes the Manubot project possible. Specifically, Manubot development has been financially supported by:
- the Alfred P. Sloan Foundation in Grant G-2018-11163 to @dhimmel.
- the Gordon & Betty Moore Foundation (@DDD-Moore) in Grant GBMF4552 to @cgreene.