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Modified HuffBit Compress Algorithm - An Application of R.

Nahida Habib1, Kawsar Ahmed2, Iffat Jabin3

  • 1Department of Computer Science and Engineering (CSE), Mawlana Bhashani Science and Technology University (MBSTU), Santosh, Tangail 1902, Bangladesh.

Journal of Integrative Bioinformatics
|February 23, 2018
PubMed
Summary
This summary is machine-generated.

A new Modified HuffBit Compress algorithm improves DNA sequence compression. This R language-based method enhances compression ratios for genomic data, outperforming existing techniques.

Keywords:
2-Bits Encoding MethodCompression RatioCompression and DecompressionExtended Binary TreeHuffBit Compress

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomic Data Compression

Background:

  • Genomic sequence databases are expanding rapidly, necessitating efficient compression methods.
  • Existing algorithms like HuffBit Compress offer solutions but have limitations.
  • Deoxyribonucleic acid (DNA) sequence compression is crucial for managing large biological datasets.

Purpose of the Study:

  • To develop and evaluate a modified HuffBit Compress algorithm for improved DNA sequence compression.
  • To assess the compression ratio and efficiency of the proposed algorithm using the R language.
  • To compare the performance against existing methods like HuffBit Compress and 2-Bits Encoding.

Main Methods:

  • Implementation of a modified HuffBit Compress algorithm in R.
  • Construction of an extended binary tree based on Huffman Codes and base frequencies (A, C, G, T).
  • Compression and decompression of six DNA sequences to evaluate performance.

Main Results:

  • The Modified HuffBit Compress algorithm achieved approximately 16.18% better compression ratio than the original HuffBit Compress.
  • The proposed algorithm showed an 11.12% improvement over the 2-Bits Encoding Method.
  • The algorithm consistently provides a high compression ratio, though it uses slightly more bits than the best-case scenario of the original algorithm.

Conclusions:

  • The Modified HuffBit Compress algorithm offers a significant improvement in DNA sequence compression efficiency.
  • This R-based approach provides a valuable tool for managing and analyzing large genomic datasets.
  • Further research can explore optimizations for reduced bit usage while maintaining high compression ratios.