Cargando…
TransposonUltimate: software for transposon classification, annotation and detection
Most genomes harbor a large number of transposons, and they play an important role in evolution and gene regulation. They are also of interest to clinicians as they are involved in several diseases, including cancer and neurodegeneration. Although several methods for transposon identification are av...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226531/ https://www.ncbi.nlm.nih.gov/pubmed/35234904 http://dx.doi.org/10.1093/nar/gkac136 |
_version_ | 1784733921406091264 |
---|---|
author | Riehl, Kevin Riccio, Cristian Miska, Eric A Hemberg, Martin |
author_facet | Riehl, Kevin Riccio, Cristian Miska, Eric A Hemberg, Martin |
author_sort | Riehl, Kevin |
collection | PubMed |
description | Most genomes harbor a large number of transposons, and they play an important role in evolution and gene regulation. They are also of interest to clinicians as they are involved in several diseases, including cancer and neurodegeneration. Although several methods for transposon identification are available, they are often highly specialised towards specific tasks or classes of transposons, and they lack common standards such as a unified taxonomy scheme and output file format. We present TransposonUltimate, a powerful bundle of three modules for transposon classification, annotation, and detection of transposition events. TransposonUltimate comes as a Conda package under the GPL-3.0 licence, is well documented and it is easy to install through https://github.com/DerKevinRiehl/TransposonUltimate. We benchmark the classification module on the large TransposonDB covering 891,051 sequences to demonstrate that it outperforms the currently best existing solutions. The annotation and detection modules combine sixteen existing softwares, and we illustrate its use by annotating Caenorhabditis elegans, Rhizophagus irregularis and Oryza sativa subs. japonica genomes. Finally, we use the detection module to discover 29 554 transposition events in the genomes of 20 wild type strains of C. elegans. Databases, assemblies, annotations and further findings can be downloaded from (https://doi.org/10.5281/zenodo.5518085). |
format | Online Article Text |
id | pubmed-9226531 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-92265312022-06-28 TransposonUltimate: software for transposon classification, annotation and detection Riehl, Kevin Riccio, Cristian Miska, Eric A Hemberg, Martin Nucleic Acids Res Methods Online Most genomes harbor a large number of transposons, and they play an important role in evolution and gene regulation. They are also of interest to clinicians as they are involved in several diseases, including cancer and neurodegeneration. Although several methods for transposon identification are available, they are often highly specialised towards specific tasks or classes of transposons, and they lack common standards such as a unified taxonomy scheme and output file format. We present TransposonUltimate, a powerful bundle of three modules for transposon classification, annotation, and detection of transposition events. TransposonUltimate comes as a Conda package under the GPL-3.0 licence, is well documented and it is easy to install through https://github.com/DerKevinRiehl/TransposonUltimate. We benchmark the classification module on the large TransposonDB covering 891,051 sequences to demonstrate that it outperforms the currently best existing solutions. The annotation and detection modules combine sixteen existing softwares, and we illustrate its use by annotating Caenorhabditis elegans, Rhizophagus irregularis and Oryza sativa subs. japonica genomes. Finally, we use the detection module to discover 29 554 transposition events in the genomes of 20 wild type strains of C. elegans. Databases, assemblies, annotations and further findings can be downloaded from (https://doi.org/10.5281/zenodo.5518085). Oxford University Press 2022-03-02 /pmc/articles/PMC9226531/ /pubmed/35234904 http://dx.doi.org/10.1093/nar/gkac136 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Online Riehl, Kevin Riccio, Cristian Miska, Eric A Hemberg, Martin TransposonUltimate: software for transposon classification, annotation and detection |
title | TransposonUltimate: software for transposon classification, annotation and detection |
title_full | TransposonUltimate: software for transposon classification, annotation and detection |
title_fullStr | TransposonUltimate: software for transposon classification, annotation and detection |
title_full_unstemmed | TransposonUltimate: software for transposon classification, annotation and detection |
title_short | TransposonUltimate: software for transposon classification, annotation and detection |
title_sort | transposonultimate: software for transposon classification, annotation and detection |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226531/ https://www.ncbi.nlm.nih.gov/pubmed/35234904 http://dx.doi.org/10.1093/nar/gkac136 |
work_keys_str_mv | AT riehlkevin transposonultimatesoftwarefortransposonclassificationannotationanddetection AT ricciocristian transposonultimatesoftwarefortransposonclassificationannotationanddetection AT miskaerica transposonultimatesoftwarefortransposonclassificationannotationanddetection AT hembergmartin transposonultimatesoftwarefortransposonclassificationannotationanddetection |