RepeatCraft: a meta-pipeline for repetitive element de-fragmentation and annotation.
Journal
Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944
Informations de publication
Date de publication:
15 03 2019
15 03 2019
Historique:
received:
27
06
2018
revised:
27
07
2018
accepted:
23
08
2018
pubmed:
31
8
2018
medline:
1
1
2020
entrez:
31
8
2018
Statut:
ppublish
Résumé
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. 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 data are available at Bioinformatics online.
Identifiants
pubmed: 30165587
pii: 5079332
doi: 10.1093/bioinformatics/bty745
pmc: PMC6419915
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1051-1052Informations de copyright
© The Author(s) 2018. Published by Oxford University Press.
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