An overview of computational methods for gene prediction in eukaryotes: strengths, limitations, and future directions

Benchmark DNA and protein sequences are available in the G3PO repository (http://git.lbgi.fr/scalzitti/Benchmark_study). Scripts for Augustus and Helixer, along with all prediction outputs, are accessible at https://github.com/UdeS-CoBIUS/GenePredictionReviewBenchmark.

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Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf222
Citations
1
Primary Topic
Machine Learning in Bioinformatics
Type
article
Field-Weighted Citation Impact
0.23

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article

An overview of computational methods for gene prediction in eukaryotes: strengths, limitations, and future directions

Aïda Ouangraoua, Abigaïl Djossou, Wend Yam D D Ouedraogo
1 citations
Bioinformatics Advances
Machine Learning in Bioinformatics
0.23
article

An overview of computational methods for gene prediction in eukaryotes: strengths, limitations, and future directions

Aïda Ouangraoua, Abigaïl Djossou, Wend Yam D D Ouedraogo
article en
1 citations

Abstract

Benchmark DNA and protein sequences are available in the G3PO repository (http://git.lbgi.fr/scalzitti/Benchmark_study). Scripts for Augustus and Helixer, along with all prediction outputs, are accessible at https://github.com/UdeS-CoBIUS/GenePredictionReviewBenchmark.

Bioinformatics AdvancesVol. 5(1)
Université de Sherbrooke (CA)
Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 39%
Machine Learning in Bioinformatics
0.23
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