summaryrefslogtreecommitdiffstats
diff options
context:
space:
mode:
authorSacha Chua <sacha@sachachua.com>2021-10-27 12:22:13 -0400
committerSacha Chua <sacha@sachachua.com>2021-10-27 12:22:13 -0400
commit0ea9f93c0e363de76b2388a7b76944e3a362e944 (patch)
tree7acd447e0490d8488064a88469d76a5cb6eabd01
parent5756b6ed333bc5d60469de7f32e6d20b81edd4b7 (diff)
parent5dd6c5e970c21ff4a5c792f3e31d7a85e85bd936 (diff)
downloademacsconf-wiki-0ea9f93c0e363de76b2388a7b76944e3a362e944.tar.xz
emacsconf-wiki-0ea9f93c0e363de76b2388a7b76944e3a362e944.zip
Merge branch 'master' of git.emacsconf.org:emacsconf-wiki
-rw-r--r--2021/talks/molecular.md55
1 files changed, 27 insertions, 28 deletions
diff --git a/2021/talks/molecular.md b/2021/talks/molecular.md
index ecfaec10..ec2317d7 100644
--- a/2021/talks/molecular.md
+++ b/2021/talks/molecular.md
@@ -8,40 +8,39 @@
# Reproducible molecular graphics with Org-mode
Blaine Mooers
-Research papers in structural biology should include the code used
-to make the images of molecules in the article in the supplemental
-materials. Some structural bioinformaticists have started to include
+Research papers in structural biology should include the code used to make
+the images of molecules in the article in the supplemental materials.
+Some structural bioinformaticists have started to include
their computer code in the supplemental materials to allow readers
to reproduce their analyses. However, authors of papers reporting new
-structures have overlooked the inclusion of the code that makes the
-images of the molecules in their articles. Nonetheless, this aspect of
-reproducible research needs to become the standard practice to improve
-the rigor of the science.
+molecular structures often overlook the inclusion of the code that makes
+the images of the molecules reported in their articles. Nonetheless,
+this aspect of reproducible research needs to become the standard practice
+to improve the rigor of the science.
-In a literate programming document, the author interleaves the code
-that makes the images of molecules in the explanatory text. Such a
-document allows the reader to reproduce the images in the manuscript.
-The reader can also explore the effect of altering the parameters in
-the code. Org files are one alternative for making such literate
-programming documents.
+In a literate programming document, the author interleaves between blocks
+of prose the code that makes the images of molecules. The document allows
+the reader to reproduce the images in the manuscript by running the code.
+The reader can also explore the effect of altering the parameters in the
+code. Org files are one alternative for making such literate programming
+documents.
-We developed a yasnippet library called orgpymolpysnips for structural
-biologists (<https://github.com/MooersLab/orgpymolpysnips>). This
-library facilitates the assembly of literate programming documents
+We developed a yasnippet snippet library called orgpymolpysnips for
+structural biologists (<https://github.com/MooersLab/orgpymolpysnips>).
+This library facilitates the assembly of literate programming documents
with molecular images made by PyMOL. PyMOL is the most popular
-molecular graphics program for making images for publication; it has
-over 100,000 users, which is a lot of users in the sciences. PyMOL was
-used to make many of the striking images of biological molecules on
-the cover of Nature and Science. We use the emacs-jupyter package to
-send commands from a code block in Org files to PyMOL's Python API.
-PyMOL returns the molecular image to the output block below the
-code block. Of course, an Emacs user can convert the Org file into a
-PDF, convert the code blocks to script files, and submit these for
-non-Emacs users. We describe the content of the library and provide
-examples of the running PyMOL from Org-mode. We compare using Org,
-Jupyter Notebook, Jupyter Lab, and RStudio with PyMOL to do
-literate programming in structural biology.
+molecular graphics program for creating images for publication; it has
+over 100,000 users, which is a lot of users in molecular biology. PyMOL
+has been used to make many of the images of biological molecules found
+on the covers of many Cell, Nature, and Science issues.
+We used the `jupyter' language in org-babel to send commands from
+code blocks in Org files to PyMOL's Python API. PyMOL returns the
+molecular image to the output block below the code block. An Emacs
+user can convert the Org file into a PDF, `tangle' the code blocks
+into a script file, and submit these for non-Emacs users. We describe
+the content of the library and provide examples of the running PyMOL
+from Org-mode documents.
# Outline