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RepeatCraft: a meta-pipeline for repetitive element de-fragmentation and annotation

SUMMARY: Repetitive elements comprise large proportion of many genomes. They have impact on both genome evolution and regulation. Their classification and the study of evolutionary history is a major emerging field. Various software exist to-date to classify and map repeats across genomes. The major...

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Detalles Bibliográficos
Autores principales: Wong, Wai Yee, Simakov, Oleg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6419915/
https://www.ncbi.nlm.nih.gov/pubmed/30165587
http://dx.doi.org/10.1093/bioinformatics/bty745
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author Wong, Wai Yee
Simakov, Oleg
author_facet Wong, Wai Yee
Simakov, Oleg
author_sort Wong, Wai Yee
collection PubMed
description SUMMARY: Repetitive elements comprise large proportion of many genomes. They have impact on both genome evolution and regulation. Their classification and the study of evolutionary history is a major emerging field. Various software exist to-date to classify and map repeats across genomes. The major unresolved drawback, however, is the fragmented nature of many identified repeat loci. This ultimately makes the classification of novel repeats and their evolutionary analyses difficult. To improve on this, we developed a pipeline (RepeatCraft) that integrates results from several repeat element classification tools based on both sequence similarity and structural features. The pipeline de-fragments closely spaced repeat loci in the genomes, reconstructing longer copies, thus allowing for a better annotation and sequence comparisons. The pipeline also includes a user interface that can run in a web browser allowing for an easy access and exploration of the repeat data. AVAILABILITY AND IMPLEMENTATION: RepeatCraft is implemented in Python and the web application is implemented in R. Download and documentation is freely available at https://github.com/niccw/repeatCraftp. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-64199152019-03-20 RepeatCraft: a meta-pipeline for repetitive element de-fragmentation and annotation Wong, Wai Yee Simakov, Oleg Bioinformatics Applications Notes SUMMARY: Repetitive elements comprise large proportion of many genomes. They have impact on both genome evolution and regulation. Their classification and the study of evolutionary history is a major emerging field. Various software exist to-date to classify and map repeats across genomes. The major unresolved drawback, however, is the fragmented nature of many identified repeat loci. This ultimately makes the classification of novel repeats and their evolutionary analyses difficult. To improve on this, we developed a pipeline (RepeatCraft) that integrates results from several repeat element classification tools based on both sequence similarity and structural features. The pipeline de-fragments closely spaced repeat loci in the genomes, reconstructing longer copies, thus allowing for a better annotation and sequence comparisons. The pipeline also includes a user interface that can run in a web browser allowing for an easy access and exploration of the repeat data. AVAILABILITY AND IMPLEMENTATION: RepeatCraft is implemented in Python and the web application is implemented in R. Download and documentation is freely available at https://github.com/niccw/repeatCraftp. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2019-03-15 2018-08-25 /pmc/articles/PMC6419915/ /pubmed/30165587 http://dx.doi.org/10.1093/bioinformatics/bty745 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Wong, Wai Yee
Simakov, Oleg
RepeatCraft: a meta-pipeline for repetitive element de-fragmentation and annotation
title RepeatCraft: a meta-pipeline for repetitive element de-fragmentation and annotation
title_full RepeatCraft: a meta-pipeline for repetitive element de-fragmentation and annotation
title_fullStr RepeatCraft: a meta-pipeline for repetitive element de-fragmentation and annotation
title_full_unstemmed RepeatCraft: a meta-pipeline for repetitive element de-fragmentation and annotation
title_short RepeatCraft: a meta-pipeline for repetitive element de-fragmentation and annotation
title_sort repeatcraft: a meta-pipeline for repetitive element de-fragmentation and annotation
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6419915/
https://www.ncbi.nlm.nih.gov/pubmed/30165587
http://dx.doi.org/10.1093/bioinformatics/bty745
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