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AutoEPG: software for the analysis of electrical activity in the microcircuit underpinning feeding behaviour of Caenorhabditis elegans
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Dillon, James, Andrianakis, Ioannis, Bull, Kate, Glautier, Steve, O'Connor, Vincent, Holden-Dye, Lindy and James, C. J.. (2009) AutoEPG: software for the analysis of electrical activity in the microcircuit underpinning feeding behaviour of Caenorhabditis elegans. PLoS One, Vol.4 (No.12). Article: e8482. ISSN 1932-6203
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Official URL: http://dx.doi.org/10.1371/journal.pone.0008482
Abstract
The pharyngeal microcircuit of the nematode Caenorhabditis elegans serves as a model for analysing neural network activity and is amenable to electrophysiological recording techniques. One such technique is the electropharyngeogram (EPG) which has provided insight into the genetic basis of feeding behaviour, neurotransmission and muscle excitability. However, the detailed manual analysis of the digital recordings necessary to identify subtle differences in activity that reflect modulatory changes within the underlying network is time consuming and low throughput. To address this we have developed an automated system for the high-throughput and discrete analysis of EPG recordings (AutoEPG).
| Item Type: | Journal Article | ||||
|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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| Divisions: | Faculty of Science > WMG (Formerly the Warwick Manufacturing Group) | ||||
| Journal or Publication Title: | PLoS One | ||||
| Publisher: | Public Library of Science | ||||
| ISSN: | 1932-6203 | ||||
| Official Date: | 29 December 2009 | ||||
| Dates: |
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| Volume: | Vol.4 | ||||
| Number: | No.12 | ||||
| Number of Pages: | 13 | ||||
| Page Range: | Article: e8482 | ||||
| Identifier: | 10.1371/journal.pone.0008482 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Open Access | ||||
| Funder: | Biotechnology and Biological Sciences Research Council (Great Britain) (BBSRC) | ||||
| Grant number: | BB/E022251/1 (BBSRC) | ||||
| URI: | http://wrap.warwick.ac.uk/id/eprint/47102 |
Data sourced from Thomson Reuters' Web of Knowledge
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