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RepeatExplorer: a Galaxy-based web server for genome-wide characterization of eukaryotic repetitive elements from next-generation sequence reads
Open accessAbstract
Motivation: Repetitive DNA makes up large portions of plant and animal nuclear genomes, yet it remains the least-characterized genome component in most species studied so far. Although the recent availability of high-throughput sequencing data provides necessary resources for in-depth investigation of genomic repeats, its utility is hampered by the lack of specialized bioinformatics tools and appropriate computational resources that would enable large-scale repeat analysis to be run by biologically oriented researchers. Results: Here we present RepeatExplorer, a collection of software tools for characterization of repetitive elements, which is accessible via web interface. A key component of the server is the computational pipeline using a graph-based sequence clustering algorithm to facilitate de novo repeat identification without the need for reference databases of known elements. Because the algorithm uses short sequences randomly sampled from the genome as input, it is ideal for analyzing next-generation sequence reads. Additional tools are provided to aid in classification of identified repeats, investigate phylogenetic relationships of retroelements and perform comparative analysis of repeat composition between multiple species. The server allows to analyze several million sequence reads, which typically results in identification of most high and medium copy repeats in higher plant genomes. Implementation and availability: RepeatExplorer was implemented within the Galaxy environment and set up on a public server at http://repeatexplorer.umbr.cas.cz/. Source code and instructions for local installation are available at http://w3lamc.umbr.cas.cz/lamc/resources.php. Contact: macas@umbr.cas.cz
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Cited by
A mosaic monoploid reference sequence for the highly complex genome of sugarcane
Garsmeur, O., Droc, G., Antonise, R., Grimwood, J., Potier, B., Aitken, K., Jenkins, J., Martin, G., Charron, C., Hervouet, C., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05051-5 · Cited by 452
Global analysis of repetitive DNA from unassembled sequence reads using RepeatExplorer2
Novák, P., Neumann, P., & Macas, J. (2020) · Nature Protocols · doi:10.1038/s41596-020-0400-y · Cited by 281
Self-citationMakałowski, W., Gotea, V., Pande, A., & Makałowska, I. (2019) · Methods in Molecular Biology · doi:10.1007/978-1-4939-9074-0_6 · Cited by 127
Genome size evolution: towards new model systems for old questions
Blommaert, J. (2020) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2020.1441 · Cited by 116
Metadata
- Authors
- Novák, P., Neumann, P., Pech, J., Steinhaisl, J., & Macas, J.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-02-01
- Volume
- 29
- Issue
- 6
- Pages
- 792-793
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2155824171
- Cited by
- 717
- References
- 0
- FWCI
- 29.92
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Novák, P., Neumann, P., Pech, J., Steinhaisl, J., & Macas, J. (2013). RepeatExplorer: a Galaxy-based web server for genome-wide characterization of eukaryotic repetitive elements from next-generation sequence reads. Bioinformatics. https://doi.org/10.1093/bioinformatics/btt054
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