Visual cleaning of genotype data

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TitleVisual cleaning of genotype data
Publication TypeConference Paper
Year of Publication2013
AuthorsKennedy, J, Graham, M, Paterson, T, Law, A
Conference Name2013 IEEE Symposium on Biological Data Visualization (BioVis)2013 IEEE Symposium on Biological Data Visualization (BioVis)
Conference LocationAtlanta, GA, USA
Accession Number13898653
KeywordsBiology, Cleaning, Data visualization, Histograms, History, Uncertainty, Visualization

While some data cleaning tasks can be performed automatically, many more require expert human guidance to steer the cleaning process, especially if erroneous or unclean data is a product of relationships between entities. An example is pedigree genotype data: inheritance hierarchies in which the correctness of genotype data for any individual is judged on comparison to their relations' genotypes, as individuals should inherit DNA from their assumed ancestors. Thus, cleaning this data must consider the relationships between individuals; sometimes this means more data must be cleaned than first assumed, while in other situations it means errors across many individuals can be remedied by cleaning the data of a shared relation. Such judgements require a domain expert to hypothesise the effect changing particular data has on the wider data set. Using a visualization tool with the ability to undertake what-if interactions can assist a user in correctly cleaning such data. We achieve this by closely coupling an existing pedigree visualisation technique, VIPER, with a genotype cleaning algorithm, and then develop necessary extensions to the visualization to allow interactive data cleaning. A comparative user evaluation with biologists shows the advantages of this visualisation design over an existing cleaning tool and we discuss the challenges in the design of visual cleaning tools in which errors may be transitive.

Refereed DesignationUnknown