Pattern browsing and query adjustment for the exploratory analysis and cooperative visualisation of microarray time-course data

  • Authors:
  • Paul Craig;Alan Cannon;Jessie Kennedy;Robert Kukla

  • Affiliations:
  • Center for Information and Software Systems, Edinburgh Napier University, Edinburgh, United Kingdom;Center for Information and Software Systems, Edinburgh Napier University, Edinburgh, United Kingdom;Center for Information and Software Systems, Edinburgh Napier University, Edinburgh, United Kingdom;Center for Information and Software Systems, Edinburgh Napier University, Edinburgh, United Kingdom

  • Venue:
  • CDVE'10 Proceedings of the 7th international conference on Cooperative design, visualization, and engineering
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper presents work to support collaborative visualisation and data analysis in the microarray time-series explorer (MaTSE) software. We introduce a novel visualisation component called the 'pattern browser' which is used to support the annotation and adjustment of user queries. This includes an explanation of why this component is required and how it can be used with our online pattern repository by biologists collaborating in the analysis of a microarray time-course data set. To conclude we suggest which other types of collaborative visualisation would benefit from the introduction of a component with comparable functionality.