eprintid: 3544
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/35/44
datestamp: 2023-11-09 15:51:48
lastmod: 2023-11-09 15:51:48
status_changed: 2023-11-09 15:47:04
type: book
metadata_visibility: show
creators_name: Ahmad, M.
creators_name: Jung, L.T.
creators_name: Zaman, N.
title: A comparative analysis of software engineering approaches for sequence analysis
ispublished: pub
keywords: Optimal systems; Optimization; Software engineering, Building blockes; Comparative analysis; DNA sequence alignments; Duplicate sequences; Optimal solutions; Sequence analysis; Sequence matching; State of the art, MATLAB
note: cited By 5
abstract: DNA is considered the building block of living species. DNA sequence alignment and analysis have been big challenges for the scientists for many years. This research presents a comparative analysis of state of the art software engineering approaches for sequence analysis, i.e. genome sequences in particular. Sequence analysis problems are NP hard and need optimal solutions. The underlying problems stated are duplicate sequence detection, sequence matching by relevance, and sequence analysis by approximate comparison in general and by using tools, i.e. Matlab and multi-lingual sequence analysis. The usefulness of these operations is also highlighted, and future expectations are described. The proposal describes the concepts, tools, methodologies, and algorithms being used for sequence analysis. The sequences contain the precious information that needs to be mined for useful purposes. There is high concentration required to model the optimal solution. The similarity and alignments concepts cannot be addressed directly with one technique or algorithm; a better performance is achieved by the comprehension of different concepts. © 2014, IGI Global.
date: 2013
publisher: IGI Global
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944687774&doi=10.4018%2f978-1-4666-4301-7.ch053&partnerID=40&md5=c31259d0fa5cd3376660369752b8f9d9
id_number: 10.4018/978-1-4666-4301-7.ch053
full_text_status: none
publication: Software Design and Development: Concepts, Methodologies, Tools, and Applications
volume: 3-4
pagerange: 1093-1102
refereed: TRUE
isbn: 9781466643024; 1466643013; 9781466643017
citation:   Ahmad, M. and Jung, L.T. and Zaman, N.  (2013) A comparative analysis of software engineering approaches for sequence analysis.     IGI Global, pp. 1093-1102.  ISBN 9781466643024; 1466643013; 9781466643017