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

Bioinformatics
Wai Yee Wong, Oleg Simakov

Abstract

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.

References

Jul 12, 2001·Proceedings of the National Academy of Sciences of the United States of America·V V Kapitonov, J Jurka
Dec 14, 2007·Annual Review of Genetics·Cédric Feschotte, Ellen J Pritham
Mar 17, 2010·Nature·Jarrod A ChapmanRobert E Steele
Aug 3, 2013·Journal of Experimental Zoology. Part B, Molecular and Developmental Evolution·Domitille ChalopinJean-Nicolas Volff

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Citations

Oct 30, 2019·Proceedings of the National Academy of Sciences of the United States of America·Wai Yee WongDaniel E Martínez
Mar 12, 2020·Molecular Ecology Resources·Wenyan NongJerome H L Hui

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Software Mentioned

RepeatCraft
RepeatMasker
R
FINDER
LTR

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