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The title field is colour coded. Books are coded in red and chapters are colour coded in orange. Everything else is simply black.


Reproducibility

I have been arguing since 1990 that Science is storing up some real problems for the future. The vast majority of scientific results involving significant computation are unquestionably tainted by unquantifiable software errors. The continuing widespread occurrence of software failures and lack of a scientific discipline for handling them, makes this unpleasant conclusion inevitable. Things might finally be changing for the better but we have a lot to do. This section includes complete reproducibility packages for recent papers and an ArXiV reference explaining what is necessary and how to go about it.

Author(s) Year Title Reference Category More details

Les Hatton , Greg Warr

2017i

Reproducibility suite for PRSA submission - Are all discrete systems shaped by the same conservation principle ?

WEBREREP_HattonWarr_PRSA_Nov-2017.html

Les Hatton , Greg Warr

2017f

Reproducibility suite for Information Theory and the Length Distribution of all Discrete Systems

arXiv 1709.01712REHattonWarr_arXiv_06-Sep-2017.html

Les Hatton , Greg Warr

2017a

Reproducibility package: Proteins and Computer Programs: Inextricably linked by Information Theory:

WEBREHattonWarr_PRSB_22-Jan-2017.html

Les Hatton Greg Warr

2016d

Full Computational Reproducibility in Biological Science: Methods, Software and a Case Study in Protein Biology

ArXiV 1608.06897 (2016)REHattonWarr_Reproducibility_2016.html

Les Hatton , Greg Warr

2015b

Reproducibility package for pone_0125663.html

WEBREpone_0125663_reproducibility.html

Les Hatton

2014d2

Reproducibility deliverables for TSE-2013-08-0271

WEBREData_TSE-2013-08-0271_V1.0a.html

Summary: number of books 0, number of invited chapters 0, number of other articles 6


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