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Efficient Compression of non-repetitive DNA sequences using Dynamic Programming Abstract: DNA compression has been a subject of great interest since the availability of genomic databases. Although only two bits are sufficient to encode four bases of DNA namely A, dna compression thesis, G, T and Cthe massive size DNA sequences compels the need for efficient compression.
General text compression methods do not make use of characteristics specific dna compression thesis DNA sequences. DNA specific compression algorithms usually take advantage of repeat sequences.
DNA sequences with high repetition rates can be best compressed by dictionary-based compression algorithms, dna compression thesis. However segments of DNA that do not reappear in the sequence are compressed using different text compression scheme. In this paper, dna compression thesis, we propose an encoding scheme to compress non repeat regions of DNA sequences, based on dynamic programming approach. In order to test the efficiency of the method we incorporate the encoding scheme in a DNA-specific algorithm, DNAPack.
The performance of this algorithm is compared with various DNA compression algorithms. The results show dna compression thesis our method achieve better results in many cases. Published in: International Conference on Advanced Computing and Communications. Article :. INSPEC Accession Number: DOI: Purchase Details Payment Options Order History View Purchased Documents.
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