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A Hybrid Approach for Sequence Alignment over Genome Data using Compressive Sensing and HBLAST

by Prabhat Gupta, Rajeev Pandey, Anjna Deen, S. P. Pandey
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 15
Year of Publication: 2018
Authors: Prabhat Gupta, Rajeev Pandey, Anjna Deen, S. P. Pandey
10.5120/ijca2018915709

Prabhat Gupta, Rajeev Pandey, Anjna Deen, S. P. Pandey . A Hybrid Approach for Sequence Alignment over Genome Data using Compressive Sensing and HBLAST. International Journal of Computer Applications. 179, 15 ( Jan 2018), 1-7. DOI=10.5120/ijca2018915709

@article{ 10.5120/ijca2018915709,
author = { Prabhat Gupta, Rajeev Pandey, Anjna Deen, S. P. Pandey },
title = { A Hybrid Approach for Sequence Alignment over Genome Data using Compressive Sensing and HBLAST },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2018 },
volume = { 179 },
number = { 15 },
month = { Jan },
year = { 2018 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number15/28873-2018915709/ },
doi = { 10.5120/ijca2018915709 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:55:24.303774+05:30
%A Prabhat Gupta
%A Rajeev Pandey
%A Anjna Deen
%A S. P. Pandey
%T A Hybrid Approach for Sequence Alignment over Genome Data using Compressive Sensing and HBLAST
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 15
%P 1-7
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Medical data is an exponential growth in all the hospitality service area. Genome is an special type of data which deals with the small unit of medical cells. Various matching operation over the genome data is required because of some medical issues arise in various cases. DNA matching, sequence matching, pattern analysis and matching is so called requirement in this area. There are some techniques such as BLAST, HBLAST, RMAP is involved and performed by past researcher. The technique use pre-processing and other filteration , sequence finding is performed. Past approach finds limitation where the large data processing, sequence detection and combine score generation for overall data processing is not performed. In this paper proposed approach is given which work towards the enhancement of previous approach extended with compressive sensing usage for pre-fetching of data and its filteration. It make use of compressive sensing with which a noise removal, filtering process is executed and thus a refined data is observed for Hadoop processing Mapping approach. Our proposed technique executed with different data set of sequence, count of data present in millions and it gives an effective results while comparing with existing scenario. A further implementation on security usage can performed by us.

References
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Index Terms

Computer Science
Information Sciences

Keywords

BLAST Compressive sensing big data protein DB sequence alignment

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