Journal article

On an infrastructure to support sharing and aggregating pre- and post-publication systems biology research data.

Mark Slaymaker, James Osborne, Andrew Simpson, David Gavaghan

Syst Synth Biol | Published : 2012

Abstract

The move towards in silico experimentation has resulted in the use of computational models, in addition to traditional experimental models, to generate the raw data that is analysed and published as research findings. This change requires new methods to be introduced to facilitate independent validation of the underlying models and the reported results. The promotion of co-operative research has the potential to help to both validate results and explore wider problem areas. In this paper we leverage and extend two existing software frameworks to develop an infrastructure that has the potential to both promote the sharing of data between researchers pre-publication and enable access to the da..

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University of Melbourne Researchers

Grants

Awarded by Engineering and Physical Sciences Research Council


Awarded by Biotechnology and Biological Sciences Research Council