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

  • Date:

    31 December 2010

  • Publication Status:

    Published

  • Publisher

    Springer

  • DOI:

    10.1007/978-3-642-16066-0_30

  • Library of Congress:

    QH Natural history

  • Dewey Decimal Classification:

    572 Biochemistry

Citation

Craig, P., Cannon, A., Kennedy, J., & Kukla, R. (2010). Pattern browsing and query adjustment for the exploratory analysis and cooperative visualisation of microarray time-course data. In Y. Luo (Ed.), Cooperative Design, Visualization, and Engineering, 199-206. https://doi.org/10.1007/978-3-642-16066-0_30

Authors

Keywords

Cooperative visualisation; combined multiple views; bioinformatics; microarray data analysis;

Monthly Views:

Available Documents