INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Review on Genome Sequence using Hadoop and MapReduce
Authors Name:
Anushree
, Rio G. L. D'Souza
Unique Id:
IJSDR1811037
Published In:
Volume 3 Issue 11, November-2018
Abstract:
Next generation sequencing has led to the generation of billions of sequence data, making it increasingly infeasible for sequence alignment to be performed on standalone machines. The Digital data can be stored in the form of genome sequence, which requires techniques to synthesise and sequence into the DNA sequences. This paper reviews about taking a dataset of DNA sequencing as an input and split them across the cluster machine by applying MapReduce implementation of Hadoop to make the search efficient for large scale genome sequencing applications.
Keywords:
Genome Sequence, DNA Sequence, Hadoop, Mapreduce.
Cite Article:
"Review on Genome Sequence using Hadoop and MapReduce", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 11, page no.214 - 218, November-2018, Available :http://www.ijsdr.org/papers/IJSDR1811037.pdf
Downloads:
000336256
Publication Details:
Published Paper ID: IJSDR1811037
Registration ID:180797
Published In: Volume 3 Issue 11, November-2018
DOI (Digital Object Identifier):
Page No: 214 - 218
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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