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phRAIDER: Pattern-Hunter based Rapid Ab Initio Detection of Elementary Repeats
Motivation: Transposable elements (TEs) and repetitive DNA make up a sizable fraction of Eukaryotic genomes, and their annotation is crucial to the study of the structure, organization, and evolution of any newly sequenced genome. Although RepeatMasker and nHMMER are useful for identifying these rep...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908342/ https://www.ncbi.nlm.nih.gov/pubmed/27307619 http://dx.doi.org/10.1093/bioinformatics/btw258 |
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author | Schaeffer, Carly E. Figueroa, Nathaniel D. Liu, Xiaolin Karro, John E. |
author_facet | Schaeffer, Carly E. Figueroa, Nathaniel D. Liu, Xiaolin Karro, John E. |
author_sort | Schaeffer, Carly E. |
collection | PubMed |
description | Motivation: Transposable elements (TEs) and repetitive DNA make up a sizable fraction of Eukaryotic genomes, and their annotation is crucial to the study of the structure, organization, and evolution of any newly sequenced genome. Although RepeatMasker and nHMMER are useful for identifying these repeats, they require a pre-compiled repeat library—which is not always available. De novo identification tools such as Recon, RepeatScout or RepeatGluer serve to identify TEs purely from sequence content, but are either limited by runtimes that prohibit whole-genome use or degrade in quality in the presence of substitutions that disrupt the sequence patterns. Results: phRAIDER is a de novo TE identification tool that address the issues of excessive runtime without sacrificing sensitivity as compared to competing tools. The underlying model is a new definition of elementary repeats that incorporates the PatternHunter spaced seed model, allowing for greater sensitivity in the presence of genomic substitutions. As compared with the premier tool in the literature, RepeatScout, phRAIDER shows an average 10× speedup on any single human chromosome and has the ability to process the whole human genome in just over three hours. Here we discuss the tool, the theoretical model underlying the tool, and the results demonstrating its effectiveness. Availability and implementation: phRAIDER is an open source tool available from https://github.com/karroje/phRAIDER. Contact: karroje@miamiOH.edu or Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-4908342 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-49083422016-06-17 phRAIDER: Pattern-Hunter based Rapid Ab Initio Detection of Elementary Repeats Schaeffer, Carly E. Figueroa, Nathaniel D. Liu, Xiaolin Karro, John E. Bioinformatics Ismb 2016 Proceedings July 8 to July 12, 2016, Orlando, Florida Motivation: Transposable elements (TEs) and repetitive DNA make up a sizable fraction of Eukaryotic genomes, and their annotation is crucial to the study of the structure, organization, and evolution of any newly sequenced genome. Although RepeatMasker and nHMMER are useful for identifying these repeats, they require a pre-compiled repeat library—which is not always available. De novo identification tools such as Recon, RepeatScout or RepeatGluer serve to identify TEs purely from sequence content, but are either limited by runtimes that prohibit whole-genome use or degrade in quality in the presence of substitutions that disrupt the sequence patterns. Results: phRAIDER is a de novo TE identification tool that address the issues of excessive runtime without sacrificing sensitivity as compared to competing tools. The underlying model is a new definition of elementary repeats that incorporates the PatternHunter spaced seed model, allowing for greater sensitivity in the presence of genomic substitutions. As compared with the premier tool in the literature, RepeatScout, phRAIDER shows an average 10× speedup on any single human chromosome and has the ability to process the whole human genome in just over three hours. Here we discuss the tool, the theoretical model underlying the tool, and the results demonstrating its effectiveness. Availability and implementation: phRAIDER is an open source tool available from https://github.com/karroje/phRAIDER. Contact: karroje@miamiOH.edu or Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2016-06-15 2016-06-11 /pmc/articles/PMC4908342/ /pubmed/27307619 http://dx.doi.org/10.1093/bioinformatics/btw258 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Ismb 2016 Proceedings July 8 to July 12, 2016, Orlando, Florida Schaeffer, Carly E. Figueroa, Nathaniel D. Liu, Xiaolin Karro, John E. phRAIDER: Pattern-Hunter based Rapid Ab Initio Detection of Elementary Repeats |
title | phRAIDER: Pattern-Hunter based Rapid Ab Initio Detection of Elementary Repeats |
title_full | phRAIDER: Pattern-Hunter based Rapid Ab Initio Detection of Elementary Repeats |
title_fullStr | phRAIDER: Pattern-Hunter based Rapid Ab Initio Detection of Elementary Repeats |
title_full_unstemmed | phRAIDER: Pattern-Hunter based Rapid Ab Initio Detection of Elementary Repeats |
title_short | phRAIDER: Pattern-Hunter based Rapid Ab Initio Detection of Elementary Repeats |
title_sort | phraider: pattern-hunter based rapid ab initio detection of elementary repeats |
topic | Ismb 2016 Proceedings July 8 to July 12, 2016, Orlando, Florida |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908342/ https://www.ncbi.nlm.nih.gov/pubmed/27307619 http://dx.doi.org/10.1093/bioinformatics/btw258 |
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