首页> 外文会议>Symposium on Information Theory in the Benelux; 20050519-20; Brussels(BE) >MODULAR DATA COMPRESSION TO OPTIMALLY LOCATE REGULAR SEGMENTS IN SEQUENCES. APPLICATION TO DNA SEQUENCE ANALYSIS
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MODULAR DATA COMPRESSION TO OPTIMALLY LOCATE REGULAR SEGMENTS IN SEQUENCES. APPLICATION TO DNA SEQUENCE ANALYSIS

机译:模块化数据压缩,以按顺序最佳定位常规段。在DNA序列分析中的应用

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摘要

A new location method for regular segments in sequences is presented. It uses the Minimum Description Length (MDL) criterion. If a lossless compressor achieves size reduction by exploiting a regularity, our algorithm TurboOptLift locates very quickly the segments where the regularity is probably present and those where it is not. The location is optimal from a MDL viewpoint. We apply the method to the problem of locating approximate tandem repeats in DNA sequences.
机译:提出了一种新的规则段规则定位方法。它使用最小描述长度(MDL)标准。如果无损压缩器通过利用规则性实现尺寸减小,则我们的算法TurboOptLift会很快定位可能存在规则性的段和不存在规则性的段。从MDL角度来看,位置是最佳的。我们将该方法应用于在DNA序列中定位近似串联重复序列的问题。

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