Craig, P., Cannon, A., Kukla, R., & Kennedy, J. (2013). MaTSE: the gene expression time-series explorer. BMC bioinformatics, 14, https://doi.org/10.1186/1471-2105-14-S19-S1
High throughput gene expression time-course experiments provide a perspective on biological functioning recognized as having huge value for the diagnosis, treatmen...
Craig, P., Cannon, A., Kukla, R., & Kennedy, J. (2012). MaTSE: The microarray time-series explorer. In 2012 IEEE Symposium on Biological Data Visualization (BioVis), (41-48). https://doi.org/10.1109/biovis.2012.6378591
This paper describes the design, development and evaluation of the Microarray Time-Series Explorer (MaTSE), a novel information visualization application for the exploratory a...
Craig, P., Cannon, A., Kennedy, J., & Kukla, R. (2010). Pattern browsing and query adjustment for the exploratory analysis and cooperative visualisation of microarray time-course data. In Y. Luo (Ed.), Cooperative Design, Visualization, and Engineering, 199-206. https://doi.org/10.1007/978-3-642-16066-0_30
This paper presents work to support collaborative visualisation and data analysis in the microarray time-series explorer (MaTSE) software. We introduce a novel visualisation c...
Scottish Funding Council
A prototype visualisation was built using D3-based libraries on top of a supplied data set (which in essence was a data cube). This was then connected to an R-based statistical service which allowed a...
The creation of a ‘software-as-a-service’ product to allow Client companies, or their agents, to improve their ‘Propositions’ – their own commercial offers; this is done by removing the need for ‘twea...
Biotechnology and Biological Sciences Research Council
Biology is a visually grounded scientific discipline-from the way data is collected and analysed to the manner in which the results are communicated to others. Traditionally pictures in scientific pub...
20 April 2017
21 April 2017
The Biological Visualisation Community's 3rd Annual Meeting takes place at Craiglockhart Campus in Edinburgh on 20th-21st April 2017.
This two day meeting compri...
Cannon, A., Kennedy, J. B., Paterson, T., & Watson, M. F. (2004). Ontology-Driven Automated Generation of Data Entry Interfaces to Databases. In H. Williams, & L. Mackinnon (Eds.), Key Technologies for Data Management; Lecture Notes in Computer Science, 150-164. doi:10.1007/978-3-540-27811-5_15
This paper discusses an ontology based approach for the automatic generation of data entry interfaces to databases. An existing domain ontology is mapped to a system domain mo...
The necessity for scientists and others to use consistent terminology has recently been regarded as fundamental to advancing ...
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19 April 2017 - 20 April 2017