Debugging experiment machinery through time-course event sequence analysis
Author(s)
Reynolds, Christopher R
Exley, Kealan
Bultelle, Matthieu A
Sainz de Murieta, Inaki
Kitney, Richard I
Type
Journal Article
Abstract
This application note describes an open-source web application software package for viewing and analysing time-course event sequences in the form of log files containing timestamps. Web pages allow the visualisation of time-course event sequences as time curves and the comparison of sequences against each other to visualise deviations between the timings of the sequences. A feature allows the analysis of the sequences by parsing selected sections with a support vector machine model that heuristically calculates a value for the likelihood of an error occurring based on the textual output in the log files. This allows quick analysis for errors in files with large numbers of log events. The software is written in ASP.NET with Visual Basic code-behind to allow it to be hosted on servers and integrated into web application frameworks.
Date Issued
2017-07-27
Date Acceptance
2017-05-26
Citation
Engineering Biology, 2017, 1 (1), pp.51-54
ISSN
2398-6182
Publisher
IET
Start Page
51
End Page
54
Journal / Book Title
Engineering Biology
Volume
1
Issue
1
Copyright Statement
© 2017 The Author(s). This is an open access article published by the IET under the Creative Commons
Attribution License (http://creativecommons.org/licenses/by/3.0/)
Attribution License (http://creativecommons.org/licenses/by/3.0/)
Sponsor
Engineering & Physical Science Research Council (E
Engineering & Physical Science Research Council (EPSRC)
Grant Number
EP/J02175X/1
EP/L011573/1
Publication Status
Published