|Publication Type||Journal Article|
|Year of Publication||2014|
|Authors||Khan, IA, Fraser, A, Bray, MA, Smith, PJ, White, NS, Carpenter, AE, Errington, RJ|
|Journal||Bioinformatics (Oxford, England)|
Experimental reproducibility is fundamental to the progress of science. Irreproducible research decreases the efficiency of basic biological research and drug discovery and impedes experimental data reuse. A major contributing factor to irreproducibility is difficulty in interpreting complex experimental methodologies and designs from written text and in assessing variations among different experiments. Current bioinformatics initiatives either are focused on computational research reproducibility (i.e. data analysis) or laboratory information management systems (LIMS). Here we present a software tool, ProtocolNavigator, which addresses the largely-overlooked challenges of interpretation and assessment. It provides a biologist-friendly, open-source, emulation based tool for designing, documenting, and reproducing biological experiments. Availability and implementation: ProtocolNavigator was implemented in Python 2.7, using the wx module to build the graphical user interface. It is a platform independent software and freely available from http://protocolnavigator.org/index.html under the GPL v2 license.