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A Novel Index which Precisely Derives Protein Coding Regions from Cross-Species Genome Alignments

机译:一种新颖的指标,其精确地从跨物种基因组对齐中衍生蛋白质编码区

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We introduce here a novel index which precisely derives protein coding regions from cross-species genome alignments. The index is deeply related to frame recovery observed in coding sequence alignments, that is, if insertions or deletions of nucleotides causes frame shifts in coding regions, other in-dels which recover the reading frames will be often observed in the vicinity. In contrast, such frame recoveries are not observed in other conserved regions. We prepared two gene models: a model which finds gene by using sequence similarity and intrinsic gene measures (basic model), and the other model which finds gene by using frame recovery index in addition to sequence similarity and intrinsic gene measures (frame recovery model). We evaluated the prediction accuracies of the two models, and our benchmark test revealed that frame recovery model significantly improved the prediction accuracy in comparison with basic model.
机译:我们在这里介绍一种新颖的指标,其精确地从跨物种基因组比赛中衍生出蛋白质编码区。该指数与在编码序列比对中观察到的帧恢复深度相关,即,如果核苷酸的插入或缺失导致编码区域中的帧移位,则通常在附近观察到恢复读数框架的其他IN-DEL。相反,在其他保守区域中未观察到这种帧回收。我们制备了两种基因模型:通过使用序列相似性和内在基因措施(基本模型)来找到基因的模型,以及除序列相似性和内在基因措施(帧恢复模型)之外,通过使用帧恢复指数找到基因的其他模型。我们评估了两种型号的预测精度,我们的基准测试显示,与基本模型相比,帧恢复模型显着提高了预测精度。

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