Bio-Aurac an open-source browser plugin to better navigate literature content.
Evans, A. J.; Etherington, N. E. J.; Laing, M. P.; Rollings, B.; Sweeton, M. J.; Whitehorn, A. J.; Southan, C.; Holliday, G. L.; Jimenez, R. C.; Dunlop, I. W.
Show abstract
SummaryBio-Aurac is an open-source web browser plugin designed to support the research community in drug discovery and life sciences. The tool has been designed to help researchers, scientists, and curators to better explore, navigate and understand content from literature accessing valuable integrated information from third party resources. It identifies, highlights, and provides additionally knowledge for names of biochemical entities like genes and proteins. Availability and ImplementationBio-Aurac has been implemented using a microservice architecture which is open-source and abstracted from non-technical users by utilizing Docker containers (Nust, 2020). It can be run with minimal prerequisites on both Chrome and Firefox browsers. The code for installing and running the web browser plugin can be found here: https://github.com/mdcatapult/bio-aurac (Along with detailed installation instructions). A comprehensive collection of all the code involved in building this open-source project can be found: https://github.com/mdcatapult/aurac-web-plugin, https://github.com/mdcatapult/PDF-Converter, https://github.com/mdcatapult/entity-recognition ContactSoftwareEngineering@md.catapult.org.uk, ian.dunlop@md.catapult.org.uk
Matching journals
The top 3 journals account for 50% of the predicted probability mass.