Preprint Article Version 2 This version is not peer-reviewed

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)

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.

Subject Areas

sequence; correspondence; symmetry; similarity; Kabirian Coefficient

Comments (1)

Comment 1
Received: 13 November 2019
Commenter: Kabir Bindawa Abdullahi
Commenter's Conflict of Interests: Author
Comment: The current version of the article has figure out the main important concepts of the newly developed algorithm of optinalysis. Further details and clarifications were provided in the current version which were not addressed in the previous version.
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