Predictive Identification of Exonic Splicing Enhancers in Human Genes

By W. Fairbrother, Rufang Yeh, Phillip A. Sharp, C. Burge. Science, 2002

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Predicting Splicing from Primary Sequence with Deep Learning. (2019, background): “We plot the following quantity as a function of i in Figure S2C: For Figure S2D, we repeated the same procedure using the SR-protein motif GAAGAA.”
Splicing regulation: from a parts list of regulatory elements to an integrated splicing code. (2008, background): “…in our own analyses, large sets of ESEs and ESSs identified using entirely different methods (statistically-based and experimentally-based) were nonoverlapping, suggesting that a single sequence is unlikely to commonly function as both an ESS and an ESE (Fairbrother et al. 2002; Wang et al. 2004).”
Variation Interpretation Predictors: Principles, Types, Performance, and Choice (2016, background): “, 2001; Yeo and Burge, 2004] and splicing regulatory sites [Fairbrother et al., 2002; Wang et al., 2004; Goren et al., 2006; Smith et al., 2006].”