Accurate Design of Translational Output by a Neural Network Model of Ribosome Distribution

We present a ribosome profiling data set from S. cerevisiae as part of a larger study that models the elongation rate along transcripts as a function of local sequence neighborhoods. We then apply this model to design coding sequences that are optimized for translational output.我们报道了一组源自酿酒酵母（Saccharomyces cerevisiae，缩写为S. cerevisiae）的核糖体谱分析（ribosome profiling）数据集，该数据集隶属于一项旨在将转录本上的延伸速率建模为局部序列邻域函数的大型研究。随后我们运用该模型设计了可优化翻译产量的编码序列。