Compatibility and Conjugacy on Partial Arrays.
1Department of Science and Humanity, Sathyabama University, Chennai, India.
Computational and Mathematical Methods in Medicine
|October 25, 2016
Summary
This study explores partial arrays, extending concepts like compatibility and conjugacy from partial words. It introduces and analyzes k-compatibility and k-conjugacy for partial arrays in combinatorics.
Area of Science:
- Combinatorics on words
- Computational biology
- Genomics
Background:
- Partial words, introduced by Berstel and Boasson, are used in gene comparison.
- Gene alignment can be modeled as compatible partial words.
- Fundamental properties of partial words are foundational in this field.
Purpose of the Study:
- To investigate the applicability of partial word properties to partial arrays.
- To examine the concepts of compatibility and conjugacy in the context of partial arrays.
- To introduce and analyze relaxed versions of compatibility and conjugacy: k-compatibility and k-conjugacy.
Main Methods:
- Extending the definitions of compatibility and conjugacy to partial arrays.
- Developing theoretical frameworks for analyzing k-compatibility and k-conjugacy.
- Comparative analysis of properties between partial words and partial arrays.
Main Results:
- Demonstrates that fundamental properties of partial words, such as compatibility and conjugacy, can be extended to partial arrays.
- Introduces and defines k-compatibility as a relaxation of the compatibility relation for partial arrays.
- Introduces and defines k-conjugacy for partial arrays, offering a new perspective on array relationships.
Conclusions:
- Partial arrays share significant structural similarities with partial words, allowing for the extension of established combinatorial concepts.
- The introduction of k-compatibility and k-conjugacy provides novel tools for analyzing relationships within and between partial arrays.
- This research bridges combinatorics on words and computational biology by offering new analytical frameworks for gene comparison and related sequence analyses.
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