Survey on biological environmental sequence analysis using association technique

G. Sivanageswara Rao; U. Vignesh; Bhukya Jabber; T. Srinivasarao; D. Babu Rao

doi:10.1007/978-981-15-5400-1_71

Survey on biological environmental sequence analysis using association technique

G. Sivanageswara Rao^*, U. Vignesh, Bhukya Jabber, T. Srinivasarao, D. Babu Rao

^*Corresponding author for this work

Department of Information and Communication Technology, Manipal Institute of Technology, Manipal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

In this study, robust biological filters are used to combine the datasets for drug discovery. The two protein datasets are combined into a single form using a filtering instance to identify the proper association algorithm for protein analysis. Big data paves the way for identification of better protein association algorithm to avoid congestion in the analysis of large volume of data and to save time for the successful results. The proposed methodology used for the conversion of unstructured protein into a structured protein.

Original language	English
Title of host publication	Intelligent System Design - Proceedings of Intelligent System Design, INDIA 2019
Editors	Suresh Chandra Satapathy, Vikrant Bhateja, Vikrant Bhateja, B. Janakiramaiah, Yen-Wei Chen
Publisher	Springer
Pages	751-758
Number of pages	8
ISBN (Print)	9789811553998
DOIs	https://doi.org/10.1007/978-981-15-5400-1_71
Publication status	Published - 2021
Event	6th International Conference on Information System Design and Intelligent Applications, INDIA 2019 - Visakhapatnam, India Duration: 01-11-2019 → 02-11-2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1171
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	6th International Conference on Information System Design and Intelligent Applications, INDIA 2019
Country/Territory	India
City	Visakhapatnam
Period	01-11-19 → 02-11-19

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-981-15-5400-1_71

Cite this

Sivanageswara Rao, G., Vignesh, U., Jabber, B., Srinivasarao, T., & Babu Rao, D. (2021). Survey on biological environmental sequence analysis using association technique. In S. C. Satapathy, V. Bhateja, V. Bhateja, B. Janakiramaiah, & Y.-W. Chen (Eds.), Intelligent System Design - Proceedings of Intelligent System Design, INDIA 2019 (pp. 751-758). (Advances in Intelligent Systems and Computing; Vol. 1171). Springer. https://doi.org/10.1007/978-981-15-5400-1_71

Sivanageswara Rao, G. ; Vignesh, U. ; Jabber, Bhukya et al. / Survey on biological environmental sequence analysis using association technique. Intelligent System Design - Proceedings of Intelligent System Design, INDIA 2019. editor / Suresh Chandra Satapathy ; Vikrant Bhateja ; Vikrant Bhateja ; B. Janakiramaiah ; Yen-Wei Chen. Springer, 2021. pp. 751-758 (Advances in Intelligent Systems and Computing).

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abstract = "In this study, robust biological filters are used to combine the datasets for drug discovery. The two protein datasets are combined into a single form using a filtering instance to identify the proper association algorithm for protein analysis. Big data paves the way for identification of better protein association algorithm to avoid congestion in the analysis of large volume of data and to save time for the successful results. The proposed methodology used for the conversion of unstructured protein into a structured protein.",

author = "{Sivanageswara Rao}, G. and U. Vignesh and Bhukya Jabber and T. Srinivasarao and {Babu Rao}, D.",

note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd 2021.; 6th International Conference on Information System Design and Intelligent Applications, INDIA 2019 ; Conference date: 01-11-2019 Through 02-11-2019",

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Sivanageswara Rao, G, Vignesh, U, Jabber, B, Srinivasarao, T & Babu Rao, D 2021, Survey on biological environmental sequence analysis using association technique. in SC Satapathy, V Bhateja, V Bhateja, B Janakiramaiah & Y-W Chen (eds), Intelligent System Design - Proceedings of Intelligent System Design, INDIA 2019. Advances in Intelligent Systems and Computing, vol. 1171, Springer, pp. 751-758, 6th International Conference on Information System Design and Intelligent Applications, INDIA 2019, Visakhapatnam, India, 01-11-19. https://doi.org/10.1007/978-981-15-5400-1_71

Survey on biological environmental sequence analysis using association technique. / Sivanageswara Rao, G.; Vignesh, U.; Jabber, Bhukya et al.
Intelligent System Design - Proceedings of Intelligent System Design, INDIA 2019. ed. / Suresh Chandra Satapathy; Vikrant Bhateja; Vikrant Bhateja; B. Janakiramaiah; Yen-Wei Chen. Springer, 2021. p. 751-758 (Advances in Intelligent Systems and Computing; Vol. 1171).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Vignesh, U.

AU - Jabber, Bhukya

AU - Srinivasarao, T.

AU - Babu Rao, D.

N1 - Publisher Copyright: © Springer Nature Singapore Pte Ltd 2021.

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AB - In this study, robust biological filters are used to combine the datasets for drug discovery. The two protein datasets are combined into a single form using a filtering instance to identify the proper association algorithm for protein analysis. Big data paves the way for identification of better protein association algorithm to avoid congestion in the analysis of large volume of data and to save time for the successful results. The proposed methodology used for the conversion of unstructured protein into a structured protein.

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Sivanageswara Rao G, Vignesh U, Jabber B, Srinivasarao T, Babu Rao D. Survey on biological environmental sequence analysis using association technique. In Satapathy SC, Bhateja V, Bhateja V, Janakiramaiah B, Chen YW, editors, Intelligent System Design - Proceedings of Intelligent System Design, INDIA 2019. Springer. 2021. p. 751-758. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-981-15-5400-1_71

Survey on biological environmental sequence analysis using association technique

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