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Integrating genome sequence and structural data for statistical learning to predict transcription factor binding sites
We report an approach to predict DNA specificity of the tetracycline repressor (TetR) family transcription regulators (TFRs). First, a genome sequence-based method was streamlined with quantitative P-values defined to filter out reliable predictions. Then, a framework was introduced to incorporate s...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7736823/ https://www.ncbi.nlm.nih.gov/pubmed/33264415 http://dx.doi.org/10.1093/nar/gkaa1134 |