Quantitative sequence basis for the E. coli transcriptional regulatory network
Sizhe Qiu, Xinlong Wan, Yueshan Liang, Cameron R. Lamoureux, Amir Akbari, Bernhard Ørn Palsson, Daniel Craig Zielinski
This study uses machine learning to predict E. coli transcriptional regulatory networks from DNA sequences, finding that motif strength and DNA shape are key predictors.
PLoS Computational Biology · Jan 22, 2024Peer-reviewedBioinformatics