- Author
- L Vignal, Y d'Aubento-Carafa, F Lisacek, E Mephu Nguifo, Pierre Rouzé (UGent) , J Quinqueton and C Thermes
- Organization
- Abstract
- Two independent computer systems, NetPlantGene and AMELIE, dedicated to the identification of splice sites in plant and human genomes, respectively, are introduced here. Both methods were designed in relation to experimental work; they rely on automatically generated rules involving the nucleotide content of sequences regardless of the coding properties of exons. The specificity of plant sequences as considered in NetPlantGene is shown to enhance the quality of detection as opposed to general methods such as GRAIL. A scanning model of the acceptor site recognition is being simulated by AMELIE leading to a relatively accurate selection process of sites.
- Keywords
- DNA, PROTEIN-CODING REGIONS, IDENTIFICATION, RECOGNITION, SEQUENCE, SITES, models, prediction, gene coding region, intron, splice site, computer method, exon
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-190479
- MLA
- Vignal, L., et al. “Exon Prediction in Eucaryotic Genomes.” BIOCHIMIE, vol. 78, no. 5, 1996, pp. 327–34, doi:10.1016/0300-9084(96)84765-1.
- APA
- Vignal, L., d’Aubento-Carafa, Y., Lisacek, F., Mephu Nguifo, E., Rouzé, P., Quinqueton, J., & Thermes, C. (1996). Exon prediction in eucaryotic genomes. BIOCHIMIE, 78(5), 327–334. https://doi.org/10.1016/0300-9084(96)84765-1
- Chicago author-date
- Vignal, L, Y d’Aubento-Carafa, F Lisacek, E Mephu Nguifo, Pierre Rouzé, J Quinqueton, and C Thermes. 1996. “Exon Prediction in Eucaryotic Genomes.” BIOCHIMIE 78 (5): 327–34. https://doi.org/10.1016/0300-9084(96)84765-1.
- Chicago author-date (all authors)
- Vignal, L, Y d’Aubento-Carafa, F Lisacek, E Mephu Nguifo, Pierre Rouzé, J Quinqueton, and C Thermes. 1996. “Exon Prediction in Eucaryotic Genomes.” BIOCHIMIE 78 (5): 327–334. doi:10.1016/0300-9084(96)84765-1.
- Vancouver
- 1.Vignal L, d’Aubento-Carafa Y, Lisacek F, Mephu Nguifo E, Rouzé P, Quinqueton J, et al. Exon prediction in eucaryotic genomes. BIOCHIMIE. 1996;78(5):327–34.
- IEEE
- [1]L. Vignal et al., “Exon prediction in eucaryotic genomes,” BIOCHIMIE, vol. 78, no. 5, pp. 327–334, 1996.
@article{190479,
abstract = {{Two independent computer systems, NetPlantGene and AMELIE, dedicated to the identification of splice sites in plant and human genomes, respectively, are introduced here. Both methods were designed in relation to experimental work; they rely on automatically generated rules involving the nucleotide content of sequences regardless of the coding properties of exons. The specificity of plant sequences as considered in NetPlantGene is shown to enhance the quality of detection as opposed to general methods such as GRAIL. A scanning model of the acceptor site recognition is being simulated by AMELIE leading to a relatively accurate selection process of sites.}},
author = {{Vignal, L and d'Aubento-Carafa, Y and Lisacek, F and Mephu Nguifo, E and Rouzé, Pierre and Quinqueton, J and Thermes, C}},
issn = {{0300-9084}},
journal = {{BIOCHIMIE}},
keywords = {{DNA,PROTEIN-CODING REGIONS,IDENTIFICATION,RECOGNITION,SEQUENCE,SITES,models,prediction,gene coding region,intron,splice site,computer method,exon}},
language = {{eng}},
number = {{5}},
pages = {{327--334}},
title = {{Exon prediction in eucaryotic genomes}},
url = {{http://doi.org/10.1016/0300-9084(96)84765-1}},
volume = {{78}},
year = {{1996}},
}
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