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SAPPHIRE: a neural network based classifier for σ70 promoter prediction in Pseudomonas
BACKGROUND: In silico promoter prediction represents an important challenge in bioinformatics as it provides a first-line approach to identifying regulatory elements to support wet-lab experiments. Historically, available promoter prediction software have focused on sigma factor-associated promoters...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7510298/ https://www.ncbi.nlm.nih.gov/pubmed/32962628 http://dx.doi.org/10.1186/s12859-020-03730-z |