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Optinalysis: A New Approach of Symmetry Detection and Similarity Measurement through a Looking-Glass
Version 1
: Received: 23 May 2019 / Approved: 24 May 2019 / Online: 24 May 2019 (12:08:17 CEST)
Version 2 : Received: 12 November 2019 / Approved: 13 November 2019 / Online: 13 November 2019 (07:12:46 CET)
Version 2 : Received: 12 November 2019 / Approved: 13 November 2019 / Online: 13 November 2019 (07:12:46 CET)
How to cite: Abdullahi, K.B. Optinalysis: A New Approach of Symmetry Detection and Similarity Measurement through a Looking-Glass. Preprints 2019, 2019050295 (doi: 10.20944/preprints201905.0295.v2). Abdullahi, K.B. Optinalysis: A New Approach of Symmetry Detection and Similarity Measurement through a Looking-Glass. Preprints 2019, 2019050295 (doi: 10.20944/preprints201905.0295.v2).
Abstract
Optinalysis, as a method of symmetry detection, is a new algorithm that intrametrically (within elements or variables) or intermetrically (between elements or variables) computes and compares two or more univariate or multi-clustered or multivariate sequences as a mirror-like reflection of each other (optics-like manner), hence the name is driven. Optinalysis is based by the principles of reflection and moment about a symmetrical line which detects symmetry that reflects a similarity measurement. This proposed methodology was validated in comparison with Pearson method of skewness detection, and also with some algorithms for pairewise alignment and comparison of genomic sequences (Needle, Stretcher, Water, Matcher) on EMBL-EBI website. A results comparison shows that optinalysis is more advance, more sensitive, more inferential and simple alternative approach of skewness detection and pairewise sequence comparison.
Keywords
sequence; correspondence; symmetry; similarity; Kabirian Coefficient
Subject
MATHEMATICS & COMPUTER SCIENCE, Computational Mathematics
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Commenter: Kabir Bindawa Abdullahi
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