Publication
Title
Comparing reverse complementary genomic words based on their distance distributions and frequencies
Author
Abstract
In this work, we study reverse complementary genomic word pairs in the human DNA, by comparing both the distance distribution and the frequency of a word to those of its reverse complement. Several measures of dissimilarity between distance distributions are considered, and it is found that the peak dissimilarity works best in this setting. We report the existence of reverse complementary word pairs with very dissimilar distance distributions, as well as word pairs with very similar distance distributions even when both distributions are irregular and contain strong peaks. The association between distribution dissimilarity and frequency discrepancy is also explored, and it is speculated that symmetric pairs combining low and high values of each measure may uncover features of interest. Taken together, our results suggest that some asymmetries in the human genome go far beyond Chargaff's rules. This study uses both the complete human genome and its repeat-masked version.
Language
English
Source (journal)
Interdisciplinary Sciences: Computational Life Sciences
Publication
2018
ISSN
1913-2751
DOI
10.1007/S12539-017-0273-0
Volume/pages
10 :1 (2018) , p. 1-11
ISI
000426823400001
Pubmed ID
29214497
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Publication type
Subject
External links
Web of Science
Record
Identifier
Creation 27.02.2024
Last edited 28.02.2024
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