基因组序列压缩与分布式源编码

Shuang Wang, Xiaoqian Jiang, Lijuan Cui, Wenrui Dai, N. Deligiannis, Pinghao Li, H. Xiong, Samuel Cheng, L. Ohno-Machado
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引用次数: 2

摘要

在本文中,我们开发了一种新的基于分布式源编码(DSC)[3]的基因组压缩框架,该框架是专门针对小型化设备的需求而量身定制的。在编码器端,具有自适应码长的子序列可以通过低复杂度的基于DSC的综合征编码或哈希编码进行灵活压缩,其决策由解码器反馈中已知的源和参考之间的变化来确定。此外,为了解决解码器中来源和参考之间的差异,我们精心设计了一个基于因子图的低密度奇偶校验(LDPC)解码器,该解码器可以自动检测插入、删除和替换。
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Genome Sequence Compression with Distributed Source Coding
In this paper, we develop a novel genome compression framework based on distributed source coding (DSC)[3], which is specially tailored to the need of miniaturized devices. At the encoder side, subsequences with adaptive code length can be compressed flexibly through either low complexity DSC based syndrome coding or hash coding with the decision determined by the existence of variations between source and reference known from the decoder feedback. Moreover, to tackle the variations between source and reference at the decoder, we carefully designed a factor graph based low-density parity-check (LDPC) decoder, which automatically detects insertion, deletion and substitution.
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