Referential DNA data compression using hadoop Map reduce framework

Joint Authors

Bhukya, Raju
Deshmuk, Sumit

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