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Visual analytics for transcriptional regulatory networks

Authors
  • Smith, Samuel
Publication Date
Jan 01, 2019
Source
Queensland University of Technology ePrints Archive
Keywords
License
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Abstract

This thesis is an exploration of the visualisation of large data sets in the transcriptional regulatory space. Advances in technology have resulted in large volumes of bioinformatics data, including those relating to interactions between regulatory proteins and target genes. Visualisation is an important step in the scientific workflow, allowing researchers to gain insights and communicate their findings to wider audiences. This study examined the effect of display size, visual encodings and network representations in the context of transcriptional regulation, using a series of user studies to evaluate current approaches and to identify strategies for improved visualisation in this domain.

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