alexa Abstract | Parallelization of Biological Gene Sequencing Technique with Optimized Smith Waterman Algorithm
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access


The presented research work represent a highly robust and efficient parallel computing system development for biological gene sequencing. In this research work, the existing approaches has optimized the most optimum approach available till date in the form of Smithy Waterman algorithm for gene alignment or local gene sequencing. This paper mainly emphasizes on the system development for a traceback assisted optimum diagonal sequencing approach developed with optimized smith Waterman and Myers and Millers techniques. Considering optimization approaches it can be firmly stated that the presented work not only enhances the competing efficiency but also facilitates higher optimum memory occupancy for huge data sets and pattern possibilities.

To read the full article Peer-reviewed Article PDF image | Peer-reviewed Full Article image

Author(s): Ananth Prabhu G , Dr. Ganesh Aithal

Share This Page

Additional Info

Loading Please wait..
Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version