Open AccessCompression of text files using genomic code compression algorithm
Author(s) -
Gowtham Krishnan Murugesan,
Rosario Gilmary
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.31.13399
Subject(s) - lossless compression , computer science , data compression , compression (physics) , file size , compression ratio , algorithm , file format , code (set theory) , data compression ratio , image compression , database , artificial intelligence , operating system , programming language , materials science , set (abstract data type) , image (mathematics) , image processing , automotive engineering , engineering , composite material , internal combustion engine
Text files utilize substantial amount of memory or disk space. Transmission of these files across a network depends upon a considerable amount of bandwidth. Compression procedures are explicitly advantageous in telecommunications and information technology because it facilitate devices to disseminate or reserve the equivalent amount of data in fewer bits. Text compression techniques section, the English passage by observing the patters and provide alternative symbols for larger patters of text. To diminish the depository of copious information and data storage expenditure, compression algorithms were used. Compression of significant and massive cluster of information can head to the improvement in retrieval time. Novel lossless compression algorithms have been introduced for better compression ratio. In this work, the various existing compression mechanisms that are particular for compressing the text files and Deoxyribonucleic acid (DNA) sequence files are analyzed. The performance is correlated in terms of compression ratio, time taken to compress/decompress the sequence and file size. In this proposed work, the input file is converted to DNA format and then DNA compression procedure is applied.