Automatic analysis of agarose gel images
Motivation: Automatic tools to speed up routine biological processes are very much sought after in bio-medical research. Much repetitive work in molecular biology, such as allele calling in genetic analysis, can be made semi-automatic or task specific automatic by using existing techniques from comp...
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| Format: | Journal article |
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2001
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| _version_ | 1826293868242403328 |
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| author | Mott, J |
| author_facet | Mott, J |
| author_sort | Mott, J |
| collection | OXFORD |
| description | Motivation: Automatic tools to speed up routine biological processes are very much sought after in bio-medical research. Much repetitive work in molecular biology, such as allele calling in genetic analysis, can be made semi-automatic or task specific automatic by using existing techniques from computer science and signal processing. Computerized analysis is reproducible and avoids various forms of human error. Semi-automatic techniques with an interactive check on the results speed up the analysis and reduce the error. Results: We have successfully implemented an image processing software package to automatically analyze agarose gel images of polymorphic DNA markers. We have obtained up to 90% accuracy for the classification of alleles in good quality images and up to 70% accuracy in average quality images. These results are obtained within a few seconds. Even after subsequent interactive checking to increase the accuracy of allele classification to 100%, the overall speed with which the data can be processed is greatly increased, compared to manual allele classification. |
| first_indexed | 2024-03-07T03:36:48Z |
| format | Journal article |
| id | oxford-uuid:bc91b47f-e359-45ae-a642-1c234eeec154 |
| institution | University of Oxford |
| last_indexed | 2024-03-07T03:36:48Z |
| publishDate | 2001 |
| record_format | dspace |
| spelling | oxford-uuid:bc91b47f-e359-45ae-a642-1c234eeec1542022-03-27T05:25:17ZAutomatic analysis of agarose gel imagesJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:bc91b47f-e359-45ae-a642-1c234eeec154Department of Computer Science2001Mott, JMotivation: Automatic tools to speed up routine biological processes are very much sought after in bio-medical research. Much repetitive work in molecular biology, such as allele calling in genetic analysis, can be made semi-automatic or task specific automatic by using existing techniques from computer science and signal processing. Computerized analysis is reproducible and avoids various forms of human error. Semi-automatic techniques with an interactive check on the results speed up the analysis and reduce the error. Results: We have successfully implemented an image processing software package to automatically analyze agarose gel images of polymorphic DNA markers. We have obtained up to 90% accuracy for the classification of alleles in good quality images and up to 70% accuracy in average quality images. These results are obtained within a few seconds. Even after subsequent interactive checking to increase the accuracy of allele classification to 100%, the overall speed with which the data can be processed is greatly increased, compared to manual allele classification. |
| spellingShingle | Mott, J Automatic analysis of agarose gel images |
| title | Automatic analysis of agarose gel images |
| title_full | Automatic analysis of agarose gel images |
| title_fullStr | Automatic analysis of agarose gel images |
| title_full_unstemmed | Automatic analysis of agarose gel images |
| title_short | Automatic analysis of agarose gel images |
| title_sort | automatic analysis of agarose gel images |
| work_keys_str_mv | AT mottj automaticanalysisofagarosegelimages |