This is will become a curated list of papers that are computationally reproducible
by modern standard.
Please make a PR to add new papers to the list. Papers may be cathegorized for topic and technology. See here.
Implementing a perfectly replicable and reproducible code for scientific computing is a challenging task, and perfection is nearly impossible. However imperfect reproducibility is better than no reproducibility.
Thanks to the efforts of a few authors and new emerging technologies, a growing number of papers are more reproducible than ever before.
This list serves to highlight exemplary works that apply best-efforts in reproducibility using current tools. They may be not perfect, but they represent practical examples that can be readily followed by a broder scientific community.
- the paper has been peer-reviewed
- depends on open source software (e.g. python, R, not MATLAB)
- paper's software available in a public repository (github, bitbucket, etc.)
- use open data, available for download
- allows replicating the figures and results
- use some method to replicate the "exact" software environment (e.g. conda environments, docker container, etc.)
-
How much of the world is woody?
Richard G. FitzJohn, Matthew W. Pennell, Amy E. Zanne, Peter F. Stevens, David C. Tank, William K. Cornwell 2014
DOI: 10.1111/1365-2745.12260
Repository: https://github.com/richfitz/wood -
Adaptive Engagement of Cognitive Control in Context-Dependent Decision Making
Michael L. Waskom, Michael C. Frank and Anthony D. Wagner. 2016
DOI: 10.1093/cercor/bhv333
Repository: https://github.com/WagnerLabPapers/Waskom_CerebCortex_InPress -
A data repository and analysis framework for spontaneous neural activity recordings in developing retina
Eglen SJ, Weeks M, Jessop M, Simonotto J, Jackson T, Sernagor E. 2014
DOI: 10.1186/2047-217X-3-3)
Repository: https://github.com/sje30/waverepo -
Bivariate spatial point patterns in the retina: a reproducible review
Eglen SJ,. 2016
DOI: None. Paper
Repository: https://github.com/sje30/eglen2015 -
Deeply sequenced metagenome and metatranscriptome of a biogas-producing microbial community from an agricultural production-scale biogas plant
Andreas Bremges, Irena Maus, Peter Belmann, Felix Eikmeyer, Anika Winkler, Andreas Albersmeier, Alfred Pühler, Andreas Schlüter and Alexander Sczyrba
DOI: 10.1186/s13742-015-0073-6
Repository: https://github.com/metagenomics/2015-biogas-cebitec