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

23Citations
Citations of this article
41Readers
Mendeley users who have this article in their library.

This article is free to access.

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.

Cite

CITATION STYLE

APA

Wong, W. Y., & Simakov, O. (2019). RepeatCraft: A meta-pipeline for repetitive element de-fragmentation and annotation. Bioinformatics, 35(6), 1051–1052. https://doi.org/10.1093/bioinformatics/bty745

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free