Abstract
A method for constructing condensed yet concise visualization of a long-term bioinformatics research project is presented. The chart combines information on data quality and chronology of research activities. It is implemented as Microsoft® Excel spreadsheet with VBA automation. The project comprised 3100 hours of EMG measurements in 23 pregnant sheep, each monitored for up to 5 months during pregnancy and immediately after labor. EMG signals were recorded from the surface of the uterine wall by electrodes implanted at the horn and cervix. The signals were assessed for quality, stored in electronic EMG archive and queried from there for visualization. The spreadsheet shows subject data as time-sorted column headings and pregnancy time along rows, with cell color depicting measurement efficacy rating (signal unusable, partly usable, OK), and a symbol marking labor date. The chart is best read if rotated into landscape format. Project group members confirmed usefulness of the chart in assessing research progress and spotting measurement problems.
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Vidmar, G., Leskošek, B.L., Rudel, D. (2007). Visualizing Time-Course and Efficacy of In-Vivo Measurements of Uterine EMG Signals in Sheep. In: Lévy, P.P., et al. Pixelization Paradigm. VIEW 2006. Lecture Notes in Computer Science, vol 4370. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71027-1_16
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DOI: https://doi.org/10.1007/978-3-540-71027-1_16
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