Referential DNA data compression using hadoop Map reduce framework
Joint Authors
Source
The International Arab Journal of Information Technology
Issue
Vol. 17, Issue 2 (31 Mar. 2020), pp.207-214, 8 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2020-03-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
The indispensable knowledge of Deoxyribonucleic Acid (DNA) sequences and sharply reducing cost of the DNA sequencing techniques has attracted numerous researchers in the field of Genetics.
These sequences are getting available at an exponential rate leading to the bulging size of molecular biology databases making large disk arrays and compute clusters inevitable for analysis.In this paper, we proposed referential DNA data compression using hadoop MapReduce Framework to process humongous amount of genetic data in distributed environment on high performance compute clusters.
Our method has successfully achieved a better balance between compression ratio and the amount of time required for DNA data compression as compared to other Referential DNA Data Compression methods.
American Psychological Association (APA)
Bhukya, Raju& Deshmuk, Sumit. 2020. Referential DNA data compression using hadoop Map reduce framework. The International Arab Journal of Information Technology،Vol. 17, no. 2, pp.207-214.
https://search.emarefa.net/detail/BIM-954654
Modern Language Association (MLA)
Bhukya, Raju& Deshmuk, Sumit. Referential DNA data compression using hadoop Map reduce framework. The International Arab Journal of Information Technology Vol. 17, no. 2 (Mar. 2020), pp.207-214.
https://search.emarefa.net/detail/BIM-954654
American Medical Association (AMA)
Bhukya, Raju& Deshmuk, Sumit. Referential DNA data compression using hadoop Map reduce framework. The International Arab Journal of Information Technology. 2020. Vol. 17, no. 2, pp.207-214.
https://search.emarefa.net/detail/BIM-954654
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 213-214
Record ID
BIM-954654