Cargando…
AT excursion: a new approach to predict replication origins in viral genomes by locating AT-rich regions
BACKGROUND: Replication origins are considered important sites for understanding the molecular mechanisms involved in DNA replication. Many computational methods have been developed for predicting their locations in archaeal, bacterial and eukaryotic genomes. However, a prediction method designed fo...
Autores principales: | , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1904460/ https://www.ncbi.nlm.nih.gov/pubmed/17517140 http://dx.doi.org/10.1186/1471-2105-8-163 |
_version_ | 1782134003051003904 |
---|---|
author | Chew, David SH Leung, Ming-Ying Choi, Kwok Pui |
author_facet | Chew, David SH Leung, Ming-Ying Choi, Kwok Pui |
author_sort | Chew, David SH |
collection | PubMed |
description | BACKGROUND: Replication origins are considered important sites for understanding the molecular mechanisms involved in DNA replication. Many computational methods have been developed for predicting their locations in archaeal, bacterial and eukaryotic genomes. However, a prediction method designed for a particular kind of genomes might not work well for another. In this paper, we propose the AT excursion method, which is a score-based approach, to quantify local AT abundance in genomic sequences and use the identified high scoring segments for predicting replication origins. This method has the advantages of requiring no preset window size and having rigorous criteria to evaluate statistical significance of high scoring segments. RESULTS: We have evaluated the AT excursion method by checking its predictions against known replication origins in herpesviruses and comparing its performance with an existing base weighted score method (BWS(1)). Out of 43 known origins, 39 are predicted by either one or the other method and 26 origins are predicted by both. The excursion method identifies six origins not predicted by BWS(1), showing that the AT excursion method is a valuable complement to BWS(1). We have also applied the AT excursion method to two other families of double stranded DNA viruses, the poxviruses and iridoviruses, of which very few replication origins are documented in the public domain. The prediction results are made available as supplementary materials at [1]. Preliminary investigation shows that the proposed method works well on some larger genomes too. CONCLUSION: The AT excursion method will be a useful computational tool for identifying replication origins in a variety of genomic sequences. |
format | Text |
id | pubmed-1904460 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-19044602007-06-30 AT excursion: a new approach to predict replication origins in viral genomes by locating AT-rich regions Chew, David SH Leung, Ming-Ying Choi, Kwok Pui BMC Bioinformatics Research Article BACKGROUND: Replication origins are considered important sites for understanding the molecular mechanisms involved in DNA replication. Many computational methods have been developed for predicting their locations in archaeal, bacterial and eukaryotic genomes. However, a prediction method designed for a particular kind of genomes might not work well for another. In this paper, we propose the AT excursion method, which is a score-based approach, to quantify local AT abundance in genomic sequences and use the identified high scoring segments for predicting replication origins. This method has the advantages of requiring no preset window size and having rigorous criteria to evaluate statistical significance of high scoring segments. RESULTS: We have evaluated the AT excursion method by checking its predictions against known replication origins in herpesviruses and comparing its performance with an existing base weighted score method (BWS(1)). Out of 43 known origins, 39 are predicted by either one or the other method and 26 origins are predicted by both. The excursion method identifies six origins not predicted by BWS(1), showing that the AT excursion method is a valuable complement to BWS(1). We have also applied the AT excursion method to two other families of double stranded DNA viruses, the poxviruses and iridoviruses, of which very few replication origins are documented in the public domain. The prediction results are made available as supplementary materials at [1]. Preliminary investigation shows that the proposed method works well on some larger genomes too. CONCLUSION: The AT excursion method will be a useful computational tool for identifying replication origins in a variety of genomic sequences. BioMed Central 2007-05-21 /pmc/articles/PMC1904460/ /pubmed/17517140 http://dx.doi.org/10.1186/1471-2105-8-163 Text en Copyright © 2007 Chew et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Chew, David SH Leung, Ming-Ying Choi, Kwok Pui AT excursion: a new approach to predict replication origins in viral genomes by locating AT-rich regions |
title | AT excursion: a new approach to predict replication origins in viral genomes by locating AT-rich regions |
title_full | AT excursion: a new approach to predict replication origins in viral genomes by locating AT-rich regions |
title_fullStr | AT excursion: a new approach to predict replication origins in viral genomes by locating AT-rich regions |
title_full_unstemmed | AT excursion: a new approach to predict replication origins in viral genomes by locating AT-rich regions |
title_short | AT excursion: a new approach to predict replication origins in viral genomes by locating AT-rich regions |
title_sort | at excursion: a new approach to predict replication origins in viral genomes by locating at-rich regions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1904460/ https://www.ncbi.nlm.nih.gov/pubmed/17517140 http://dx.doi.org/10.1186/1471-2105-8-163 |
work_keys_str_mv | AT chewdavidsh atexcursionanewapproachtopredictreplicationoriginsinviralgenomesbylocatingatrichregions AT leungmingying atexcursionanewapproachtopredictreplicationoriginsinviralgenomesbylocatingatrichregions AT choikwokpui atexcursionanewapproachtopredictreplicationoriginsinviralgenomesbylocatingatrichregions |