An efficient tool for genetic experiments: agarose gel image analysis
Repeatability of many genetic analysis experiments can be improved by the application of signal processing and image-processing tools. Most of the experiments in genetics result in some sort of digital signal or image patterns that are subjectively analyzed by the geneticists. This paper presents an...
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Format: | Journal article |
Language: | English |
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2003
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_version_ | 1797066534460325888 |
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author | Adiga, P Flint, J |
author_facet | Adiga, P Flint, J |
author_sort | Adiga, P |
collection | OXFORD |
description | Repeatability of many genetic analysis experiments can be improved by the application of signal processing and image-processing tools. Most of the experiments in genetics result in some sort of digital signal or image patterns that are subjectively analyzed by the geneticists. This paper presents an example project where image-processing techniques are applied for automation of most of the routine processes of agarose gel image analysis. Result of applying this program has shown that the time taken for the analysis has been reduced by about 70% and the result is reproducible. © 2003 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved. |
first_indexed | 2024-03-06T21:43:26Z |
format | Journal article |
id | oxford-uuid:48bbe5c6-cc1c-427a-8a5e-93031c3b3640 |
institution | University of Oxford |
language | English |
last_indexed | 2024-03-06T21:43:26Z |
publishDate | 2003 |
record_format | dspace |
spelling | oxford-uuid:48bbe5c6-cc1c-427a-8a5e-93031c3b36402022-03-26T15:27:28ZAn efficient tool for genetic experiments: agarose gel image analysisJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:48bbe5c6-cc1c-427a-8a5e-93031c3b3640EnglishSymplectic Elements at Oxford2003Adiga, PFlint, JRepeatability of many genetic analysis experiments can be improved by the application of signal processing and image-processing tools. Most of the experiments in genetics result in some sort of digital signal or image patterns that are subjectively analyzed by the geneticists. This paper presents an example project where image-processing techniques are applied for automation of most of the routine processes of agarose gel image analysis. Result of applying this program has shown that the time taken for the analysis has been reduced by about 70% and the result is reproducible. © 2003 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved. |
spellingShingle | Adiga, P Flint, J An efficient tool for genetic experiments: agarose gel image analysis |
title | An efficient tool for genetic experiments: agarose gel image analysis |
title_full | An efficient tool for genetic experiments: agarose gel image analysis |
title_fullStr | An efficient tool for genetic experiments: agarose gel image analysis |
title_full_unstemmed | An efficient tool for genetic experiments: agarose gel image analysis |
title_short | An efficient tool for genetic experiments: agarose gel image analysis |
title_sort | efficient tool for genetic experiments agarose gel image analysis |
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