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Detection of Protein Domains in Eukaryotic Genome Sequences

机译:真核基因组序列中蛋白质结构域的检测

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Large-scale studies of the origins and evolution of regulatory mechanisms require quantitative estimates of the abundance and co-occurrence of functional protein domains in the genomes of very diverse organism. Current databases, such as SUPERFAMILY, are not able to provide such quantitative data because of species-specific differences and biases in the existing transcript and protein annotations on which they are based. Here we show that the combination of de novo gene predictors and subsequent HMM-based annotation of SCOP domains in the predicted peptides leads to consistent estimates with acceptable accuracy.
机译:大规模研究调节机制的起源和演变,需要定量估计非常多样化的生物体基因组中功能性蛋白结构域的丰度和共存性。目前的数据库(例如SUPERFAMILY)无法提供此类定量数据,因为它们所基于的现有转录本和蛋白质注释中存在物种特异性差异和偏见。在这里,我们显示了从头基因预测子与预测的肽中随后的SCOP域基于HMM的SCOP域注释的组合,可以产生一致的估计值,且准确性可接受。

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