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01/01: website: Add post about reproducibility paper.


From: Ricardo Wurmus
Subject: 01/01: website: Add post about reproducibility paper.
Date: Wed, 9 May 2018 17:18:48 -0400 (EDT)

rekado pushed a commit to branch master
in repository guix-artwork.

commit c243076bd0e57d692fad3c23098978f7b7e712dd
Author: Ricardo Wurmus <address@hidden>
Date:   Wed May 9 23:13:05 2018 +0200

    website: Add post about reproducibility paper.
---
 website/posts/pigx.md | 27 +++++++++++++++++++++++++++
 1 file changed, 27 insertions(+)

diff --git a/website/posts/pigx.md b/website/posts/pigx.md
new file mode 100644
index 0000000..a7807b7
--- /dev/null
+++ b/website/posts/pigx.md
@@ -0,0 +1,27 @@
+title: Paper on reproducible bioinformatics pipelines with Guix
+date: 2018-05-09 12:00
+author: Ricardo Wurmus
+tags: High-performance computing, Research, Reproducibility, Bioinformatics
+---
+I’m happy to announce that the bioinformatics group at the [Max
+Delbrück Center](https://www.mdc-berlin.de/) that I’m working with has
+released a preprint of a paper on reproducibility with the title
+[Reproducible genomics analysis pipelines with GNU
+Guix](https://doi.org/10.1101/298653).
+
+We built a collection of [bioinformatics pipelines called "PiGx"
+("Pipelines in Genomix")](http://bioinformatics.mdc-berlin.de/pigx)
+and packaged them as first-class packages with GNU Guix.  Then we
+looked at the degree to which the software achieves
+bit-reproducibility, analysed sources of non-determinism (e.g. time
+stamps), discussed experimental reproducibility at runtime
+(e.g. random number generators, the interface provided by the kernel
+and the GNU C library, etc) and commented on the practice of using
+“containers” (or application bundles) instead.
+
+[Reproducible builds](https://reproducible-builds.org) is a crucial
+foundation for computational experiments.  We hope that PiGx and the
+reproducibility analysis we presented in the paper can serve as a
+useful case study demonstrating the importance of a principled
+approach to computational reproducibility and the effectiveness of
+Guix in the pursuit of reproducible software management.



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