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K-mer counting and curated libraries drive efficient annotation of repeats in plant genomes (Record no. 2397)

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Personal name Contreras-Moreira, Bruno
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Title K-mer counting and curated libraries drive efficient annotation of repeats in plant genomes
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Date of publication, distribution, etc. 2021-11-01.
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General note /pmc/articles/PMC7614178/
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General note /pubmed/34562304
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Summary, etc. The annotation of repetitive sequences within plant genomes can help in the interpretation of observed phenotypes. Moreover, repeat masking is required for tasks such as whole-genome alignment, promoter analysis, or pangenome exploration. Although homology-based annotation methods are computationally expensive, k-mer strategies for masking are orders of magnitude faster. Here, we benchmarked a two-step approach, where repeats were first called by k-mer counting and then annotated by comparison to curated libraries. This hybrid protocol was tested on 20 plant genomes from Ensembl, with the k-mer-based Repeat Detector (Red) and two repeat libraries (REdat, last updated in 2013, and nrTEplants, curated for this work). Custom libraries produced by RepeatModeler were also tested. We obtained repeated genome fractions that matched those reported in the literature but with shorter repeated elements than those produced directly by sequence homology. Inspection of the masked regions that overlapped genes revealed no preference for specific protein domains. Most Red-masked sequences could be successfully classified by sequence similarity, with the complete protocol taking less than 2 h on a desktop Linux box. A guide to curating your own repeat libraries and the scripts for masking and annotating plant genomes can be obtained at https://github.com/Ensembl/plant-scripts.
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Terms governing use and reproduction
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Terms governing use and reproduction https://creativecommons.org/licenses/by/4.0/This work is licensed under a CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/) International license.
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Language note en
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Topical term or geographic name as entry element Article
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Genre/form data or focus term Text
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Personal name Filippi, Carla V
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Personal name Naamati, Guy
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Personal name Girón, Carlos García
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Personal name Allen, James E
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Personal name Flicek, Paul
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Note Plant Genome
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Uniform Resource Identifier <a href="http://dx.doi.org/10.1002/tpg2.20143">http://dx.doi.org/10.1002/tpg2.20143</a>
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