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The GC Skew Index: A Measure of Genomic Compositional Asymmetry and the Degree of Replicational Selection
Circular bacterial chromosomes have highly polarized nucleotide composition in the two replichores, and this genomic strand asymmetry can be visualized using GC skew graphs. Here we propose and discuss the GC skew index (GCSI) for the quantification of genomic compositional skew, which combines a no...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
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Libertas Academica
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2684130/ https://www.ncbi.nlm.nih.gov/pubmed/19461976 |
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author | Arakawa, Kazuharu Tomita, Masaru |
author_facet | Arakawa, Kazuharu Tomita, Masaru |
author_sort | Arakawa, Kazuharu |
collection | PubMed |
description | Circular bacterial chromosomes have highly polarized nucleotide composition in the two replichores, and this genomic strand asymmetry can be visualized using GC skew graphs. Here we propose and discuss the GC skew index (GCSI) for the quantification of genomic compositional skew, which combines a normalized measure of fast Fourier transform to capture the shape of the skew graph and Euclidean distance between the two vertices in a cumulative skew graph to represent the degree of skew. We calculated GCSI for all available bacterial genomes, and GCSI correlated well with the visibility of GC skew. This novel index is useful for estimating confidence levels for the prediction of replication origin and terminus by methods based on GC skew and for measuring the strength of replicational selection in a genome. |
format | Text |
id | pubmed-2684130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Libertas Academica |
record_format | MEDLINE/PubMed |
spelling | pubmed-26841302009-05-19 The GC Skew Index: A Measure of Genomic Compositional Asymmetry and the Degree of Replicational Selection Arakawa, Kazuharu Tomita, Masaru Evol Bioinform Online Original Research Circular bacterial chromosomes have highly polarized nucleotide composition in the two replichores, and this genomic strand asymmetry can be visualized using GC skew graphs. Here we propose and discuss the GC skew index (GCSI) for the quantification of genomic compositional skew, which combines a normalized measure of fast Fourier transform to capture the shape of the skew graph and Euclidean distance between the two vertices in a cumulative skew graph to represent the degree of skew. We calculated GCSI for all available bacterial genomes, and GCSI correlated well with the visibility of GC skew. This novel index is useful for estimating confidence levels for the prediction of replication origin and terminus by methods based on GC skew and for measuring the strength of replicational selection in a genome. Libertas Academica 2007-09-06 /pmc/articles/PMC2684130/ /pubmed/19461976 Text en Copyright © 2007 The authors. http://creativecommons.org/licenses/by/3.0 This article is published under the Creative Commons Attribution By licence. For further information go to: http://creativecommons.org/licenses/by/3.0. (http://creativecommons.org/licenses/by/3.0) |
spellingShingle | Original Research Arakawa, Kazuharu Tomita, Masaru The GC Skew Index: A Measure of Genomic Compositional Asymmetry and the Degree of Replicational Selection |
title | The GC Skew Index: A Measure of Genomic Compositional Asymmetry and the Degree of Replicational Selection |
title_full | The GC Skew Index: A Measure of Genomic Compositional Asymmetry and the Degree of Replicational Selection |
title_fullStr | The GC Skew Index: A Measure of Genomic Compositional Asymmetry and the Degree of Replicational Selection |
title_full_unstemmed | The GC Skew Index: A Measure of Genomic Compositional Asymmetry and the Degree of Replicational Selection |
title_short | The GC Skew Index: A Measure of Genomic Compositional Asymmetry and the Degree of Replicational Selection |
title_sort | gc skew index: a measure of genomic compositional asymmetry and the degree of replicational selection |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2684130/ https://www.ncbi.nlm.nih.gov/pubmed/19461976 |
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