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Multilevel Coding Approach to Fast Genomic Processing


Affiliations
1 MGIT, Hyderabad, India
2 Pentagram Research Center Pvt. Ltd., Hyderabad, India
3 JNTU, Hyderabad, India
     

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The need of fast and accurate data processing in volumetric data set has recently attained a large attention. For the data information retrieval in online system, the computing algorithm and its approach of implementation plays an important role. Various techniques have come up in recent past to perform a fast processing in volumetric data set. Though the approaches are defined for fast processing, they are not been evaluated in all stream of applications. In applications such as genomic signal processing, the approaches were limited due to very large volume of data set and irregular similarities in the gene sequences. Additionally, the issue of coding and non-coding regions in gene sequence which result in excessive coefficients, result in slower operation. To elevate the limitation to such approach in this paper an approach towards faster processing in genomic signal application is been suggested. The process of data processing in multilevel domain is been proposed.

Keywords

Genomic Signal Processing, Multilevel Coding, Data Representation, Fast Computing.
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  • Multilevel Coding Approach to Fast Genomic Processing

Abstract Views: 167  |  PDF Views: 2

Authors

D. Venkat Reddy
MGIT, Hyderabad, India
E. G. Rajan
Pentagram Research Center Pvt. Ltd., Hyderabad, India
Ch. D. V. Paradesi Rao
JNTU, Hyderabad, India

Abstract


The need of fast and accurate data processing in volumetric data set has recently attained a large attention. For the data information retrieval in online system, the computing algorithm and its approach of implementation plays an important role. Various techniques have come up in recent past to perform a fast processing in volumetric data set. Though the approaches are defined for fast processing, they are not been evaluated in all stream of applications. In applications such as genomic signal processing, the approaches were limited due to very large volume of data set and irregular similarities in the gene sequences. Additionally, the issue of coding and non-coding regions in gene sequence which result in excessive coefficients, result in slower operation. To elevate the limitation to such approach in this paper an approach towards faster processing in genomic signal application is been suggested. The process of data processing in multilevel domain is been proposed.

Keywords


Genomic Signal Processing, Multilevel Coding, Data Representation, Fast Computing.