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Promoter prediction in E. coli based on SIDD profiles and Artificial Neural Networks
BACKGROUND: One of the major challenges in biology is the correct identification of promoter regions. Computational methods based on motif searching have been the traditional approach taken. Recent studies have shown that DNA structural properties, such as curvature, stacking energy, and stress-indu...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3026364/ https://www.ncbi.nlm.nih.gov/pubmed/20946600 http://dx.doi.org/10.1186/1471-2105-11-S6-S17 |