Evaluating the VIPER pedigree visualisation: detecting inheritance inconsistencies in genotyped pedigrees

Trevor Paterson, M. Graham, J. Kennedy, Andy Law

Research output: Contribution to conferencePaperpeer-review

Abstract / Description of output

VIPER (Visual Pedigree Explorer) is a tool for exploring large complex animal pedigrees and their associated genotype data. The tool combines a novel, space-efficient visualisation of the pedigree structure with an inheritance-checking algorithm. This allows users to explore the apparent errors within the genotype data in the full context of the family and pedigree structure. Ultimately, the aim is to develop an interactive software application that will allow users to identify, confirm and then remove errors from the pedigree structure and scored genotypes.
This paper describes an evaluation of how VIPER displays the different scales and types of data set that can occur, along with a description of the further interface functionality necessary to meet the challenges such data presents. This is followed by an examination of a range of possible pedigree genotype errors by replicating these errors in controlled simulated data sets and showing how they are manifested in the VIPER interface and observed by a domain expert. The data sets used include both real and artificially generated data, the advantage of the latter being that they produce known effects in the visualization which the domain expert can then interpret as being useful or unhelpful as they see fit.
Original languageEnglish
Number of pages8
Publication statusPublished - 2011

Keywords / Materials (for Non-textual outputs)

  • Error visualisation
  • Interface design
  • Pedigree visusalisation
  • Utility evaluation


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