UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 7
July-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2107765


Registration ID:
313316

Page Number

g247-g250

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Title

Relative Greenhouse Gases Emissions of MSA Algorithms: A comparison of T-Coffee and MAFFT

Authors

Abstract

Multiple sequence alignment is an important step in gene prediction. The sequences involved in the alignment process are assumed to be derived from a single ancestral sequence i.e. homologous. These sequences are subjected to sequence algorithms for the homology search. The results obtained by sequence alignment can be used for locating genes by identifying exon positions or can be utilized to interpret evolutionary origin. The time complexity of the algorithms governs the runtime, which in turn drives the greenhouse gas (GHG) emissions. GHG emissions are critical from a global sustainability point of view. In this work, a method to compare the relative standing of algorithms from GHG emissions point of view is developed. T-Coffee and MAFFT algorithms are used as examples. The peculiar feature of these algorithms is that both are progressive in nature and can cover all sized sequences used for alignment. MAFFT is observed to have relatively lower GHG emissions as compared to T-Coffee.

Key Words

Sustainability, Multiple sequence alignment algorithms, MAFFT, T-Coffee, GHG (Greenhouse Gases)

Cite This Article

"Relative Greenhouse Gases Emissions of MSA Algorithms: A comparison of T-Coffee and MAFFT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.g247-g250, July-2021, Available :http://www.jetir.org/papers/JETIR2107765.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Relative Greenhouse Gases Emissions of MSA Algorithms: A comparison of T-Coffee and MAFFT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppg247-g250, July-2021, Available at : http://www.jetir.org/papers/JETIR2107765.pdf

Publication Details

Published Paper ID: JETIR2107765
Registration ID: 313316
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: g247-g250
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162


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