relation: https://khub.utp.edu.my/scholars/3259/
title: A comparative analysis of software engineering approaches for sequence analysis
creator: Ahmad, M.
creator: Jung, L.T.
creator: Zaman, N.
description: 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. © 2013, IGI Global.
publisher: IGI Global
date: 2013
type: Book
type: PeerReviewed
identifier:   Ahmad, M. and Jung, L.T. and Zaman, N.  (2013) A comparative analysis of software engineering approaches for sequence analysis.     IGI Global, pp. 285-295.  ISBN 9781466636798     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901548478&doi=10.4018%2f978-1-4666-3679-8.ch014&partnerID=40&md5=0cb56ba6320b9c44b9638cabc8b0e971
relation: 10.4018/978-1-4666-3679-8.ch014
identifier: 10.4018/978-1-4666-3679-8.ch014