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Pattern Recognition based DNA Sequence Compressor

机译:基于模式识别的DNA序列压缩器

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摘要

The genome of all living organisms contains all hereditary information encoded in DNA. Due to the ever increasing demand on DNA based technological developments, a larger number of DNA sequences have been identified and stored in genomic databases. The sizes of the databases are expected to increase exponentially. Compression is hence desirable to reduce the storage requirements as well as the transmission time. This paper aims the same by proposing Pattern Recognition based DNA Sequence Compression (PRDNAC) algorithm that compresses the DNA sequences by identifying the appropriate patterns to achieve a good compression ratio and compression gain much better than many standard compressors including RARLabs' WinRAR version 4.x.
机译:所有活生物体的基因组均包含以DNA编码的所有遗传信息。由于对基于DNA的技术发展的不断增长的需求,已经鉴定出大量DNA序列并将其存储在基因组数据库中。数据库的大小预计将成倍增加。因此希望进行压缩以减少存储需求以及传输时间。本文的目的是通过提出基于模式识别的DNA序列压缩(PRDNAC)算法来实现的,该算法通过识别合适的模式来压缩DNA序列,以实现良好的压缩率和压缩增益,这比包括RARLabs的WinRAR版本4.x在内的许多标准压缩器要好得多。 。

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