Evidence map›Paper›PMID 37601317›Full record

ArticleApplications in plant sciences

Efficient homology-based annotation of transposable elements using minimizers.

Laura Natalia Gonzalez-García, Daniela Lozano-Arce, Juan Pablo Londoño, Romain Guyot, Jorge Duitama

Abstract read
In one paragraph

Article in Applications in plant sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Laura Natalia Gonzalez-GarcíaSystems and Computing Engineering Department Universidad de los Andes Bogotá Colombia.ORCID 0000-0002-4079-8956
Daniela Lozano-ArceSystems and Computing Engineering Department Universidad de los Andes Bogotá Colombia.
Juan Pablo LondoñoDepartment of Biological Sciences Universidad de los Andes Bogotá Colombia.
Romain GuyotUMR DIADE, Institut de Recherche pour le Développement Université de Montpellier, CIRAD 34394 Montpellier France.
Jorge DuitamaSystems and Computing Engineering Department Universidad de los Andes Bogotá Colombia.ORCID 0000-0002-9105-6266

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Premise: Transposable elements (TEs) make up more than half of the genomes of complex plant species and can modulate the expression of neighboring genes, producing significant variability of agronomically relevant traits. The availability of long-read sequencing technologies allows the building of genome assemblies for plant species with large and complex genomes. Unfortunately, TE annotation currently represents a bottleneck in the annotation of genome assemblies. Methods and Results: We present a new functionality of the Next-Generation Sequencing Experience Platform (NGSEP) to perform efficient homology-based TE annotation. Sequences in a reference library are treated as long reads and mapped to an input genome assembly. A hierarchical annotation is then assigned by homology using the annotation of the reference library. We tested the performance of our algorithm on genome assemblies of different plant species, including Conclusions: NGSEP allows rapid analysis of TEs, especially in very large and TE-rich plant genomes.

Indexed as

bioinformaticsgenomicssoftwaretransposable elements

Identifiers

PMID37601317
PMCPMC10439823

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.