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首页> 外文会议>2012 Third International Conference on Computing Communication amp; Networking Technologies. >Adaptive segmentation of DNA sequences using SBC Technique: A novel Algorithm
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Adaptive segmentation of DNA sequences using SBC Technique: A novel Algorithm

机译：使用SBC技术的DNA序列自适应分割：一种新算法

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摘要

Availability of more and more DNA sequences in the biological databases their size is exponentially growing and it is very hard to maintain and process such data in intra and internetworking systems. Hence need of compression is playing a predominant role in the real vogue. In this connection many algorithms are arrived but some of them achieved bountiful and others are not due to specificity of text encoded in a DNA. Performance analysis is developed based on repetitive and non repetitive sequences of bases in DNA. Existing algorithms may run in Best case if the sequence may contains tandem repeats and compression ratios are computed in terms of bits per bases. Our proposed SBC (splinter Binary compression) technique is developed based on the comparative study of existing techniques and it achieves one of best compression ratios in an average of 1.142 bits/bases which is on par existing techniques. In addition to if we can apply of our technique on both repetitive and non repetitive sequences of genomes also it may give same compression rate in an average in all the cases Definitely our one will become one of the lossless in valuable technique in bio informatics era.
机译：生物数据库中越来越多的DNA序列的可用性正以其指数级增长，并且很难在内部和互联网络系统中维护和处理此类数据。因此，在实际的时尚中，压缩的需求起着主要作用。在这方面，出现了许多算法，但是其中一些算法实现了丰富性，而其他算法并不是由于DNA中编码的文本的特异性。性能分析是根据DNA中碱基的重复序列和非重复序列开发的。如果序列中可能包含串联重复序列，并且按每个碱基的位数计算压缩率，则现有算法可能会在“最佳”情况下运行。我们提出的SBC（分裂二进制压缩）技术是在对现有技术进行比较研究的基础上开发的，它以平均1.142比特/基数实现了与现有技术相当的最佳压缩率之一。如果我们可以将我们的技术应用于基因组的重复序列和非重复序列，那么它在所有情况下的平均压缩率都可以相同。无疑，我们的技术将成为生物信息学时代有价值的无损技术之一。

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