Promoter Prediction in Agrobacterium tumefaciens Strain C58 by Using Artificial Intelligence Strategies
Author:
Publisher
Springer US
Link
https://link.springer.com/content/pdf/10.1007/978-1-0716-4063-0_2
Reference40 articles.
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3. Zulfiqar H, Ahmed Z, Kissanga Grace-Mercure B, Hassan F, Zhang Z-Y, Liu F (2023) Computational prediction of promotors in Agrobacterium tumefaciens strain C58 by using the machine learning technique. Front Microbiol 14:1170785
4. Solovyev VV, Shahmuradov IA, Salamov AA (2010) Identification of promoter regions and regulatory sites. In: Computational biology of transcription factor binding, pp 57–83
5. Sandelin A, Carninci P, Lenhard B, Ponjavic J, Hayashizaki Y, Hume DA (2007) Mammalian RNA polymerase II core promoters: insights from genome-wide studies. Nat Rev Genet 8(6):424–436
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