All Outputs (4)

VIPER: a visualisation tool for exploring inheritance inconsistencies in genotyped pedigrees (2012)
Journal Article
Paterson, T., Graham, M., Kennedy, J., & Law, A. (2012). VIPER: a visualisation tool for exploring inheritance inconsistencies in genotyped pedigrees. BMC Bioinformatics, 13/8, https://doi.org/10.1186/1471-2105-13-S8-S5

Pedigree genotype datasets are used for analysing genetic inheritance and to map genetic markers and traits. Such datasets consist of hundreds of related animals genotyped for thousands of genetic markers and invariably contain multiple errors in bot... Read More about VIPER: a visualisation tool for exploring inheritance inconsistencies in genotyped pedigrees.

A comparison of techniques for name matching (2012)
Journal Article
Peng, T., Li, L., & Kennedy, J. (2012). A comparison of techniques for name matching. GSTF journal on computing, 2,

Information explosion is a problem for everyone nowadays. It is a great challenge to all kinds of businesses to maintain high quality of data in their information applications, such as data integration, text and web mining, information retrieval, sea... Read More about A comparison of techniques for name matching.

Redeeming pedigree data with an interactive error cleaning visualisation. (2012)
Presentation / Conference Contribution
Graham, M., Kennedy, J., Paterson, T., & Law, A. (2012). Redeeming pedigree data with an interactive error cleaning visualisation. In Proceedings of Advanced Visual Interfaces 2012 (741-744). https://doi.org/10.1145/2254556.2254698

We describe a visual data cleansing application for pedigree genotype data, which is used to redeem otherwise unusable pedigree data sets. Biologists and bioinformaticians dynamically and iteratively mask pieces of information from a dirty data set a... Read More about Redeeming pedigree data with an interactive error cleaning visualisation..

MaTSE: The microarray time-series explorer (2012)
Presentation / Conference Contribution
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 analysis of large scale microarray timeseries data. The software combines a... Read More about MaTSE: The microarray time-series explorer.