Accurate prediction for splice sites is the primary step in the system research for eukaryotic genes.
精确预测剪接位点是真核基因系统研究的第一步。
The splice sites of the eukaryotic DNA are the region of the vicinity in the exons and introns of the DNA sequences of the eukaryotic cell biology.
真核基因剪接位点是真核细胞生物基因序列中外显子和内含子的相邻区域。
Because of introducing the machine learning method in the recognition of splice sites of the eukaryotic DNA, the recognition rate of splice sites is largely heightened.
由于在真核基因剪接位点的识别中引入了机器学习方法，剪接位点的识别率有了大幅度的提高。
If we can distinguish the real splice sites of the eukaryotic DNA sequence, the expressed regions and non-expressed regions of the eukaryotic DNA sequences will be detected.
如果能识别出真核基因序列中的剪接位点，则可以将基因中的表达区域和非表达区域区分开。
In order to achieve this goal, we need obtain the useful information from some partial key questions, in which the recognition of splice sites of the eukaryotic DNA is important and key question.
为了实现这一目标，需要从一些局部的关键问题入手，真核基因剪接位点识别就是其中重要和关键的问题。
Such a structural distribution characteristic, which can be taken as a kind of structural signals for recognizing the splice sites, is in accordance with the chemical reaction mechanism of splicing.
剪接位点的这种结构分布特征与剪接过程的化学反应机制相符合，并可以作为识别剪接位点的一种结构信号。
FN splice variants play important roles in regulating cell-matrix and matrix-matrix interactions in skeletogenesis and skeletal function in limbs and other sites.
FN剪切变异体在调节细胞基质，基质与基质间的相互作用，骨骼发育和四肢骨骼功能及其他方面起到很重要的作用。
FN splice variants play important roles in regulating cell-matrix and matrix-matrix interactions in skeletogenesis and skeletal function in limbs and other sites.
FN剪切变异体在调节细胞基质，基质与基质间的相互作用，骨骼发育和四肢骨骼功能及其他方面起到很重要的作用。
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