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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...

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Detalles Bibliográficos
Publicado en:Nucleic Acids Res
Main Authors: Long, Pengpeng, Zhang, Lu, Huang, Bin, Chen, Quan, Liu, Haiyan
Formato: Artigo
Idioma:Inglês
Publicado: Oxford University Press 2020
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7736823/
https://ncbi.nlm.nih.gov/pubmed/33264415
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gkaa1134
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