Cargando…
A benchmark study of ab initio gene prediction methods in diverse eukaryotic organisms
BACKGROUND: The draft genome assemblies produced by new sequencing technologies present important challenges for automatic gene prediction pipelines, leading to less accurate gene models. New benchmark methods are needed to evaluate the accuracy of gene prediction methods in the face of incomplete g...
Autores principales: | Scalzitti, Nicolas, Jeannin-Girardon, Anne, Collet, Pierre, Poch, Olivier, Thompson, Julie D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7147072/ https://www.ncbi.nlm.nih.gov/pubmed/32272892 http://dx.doi.org/10.1186/s12864-020-6707-9 |
Ejemplares similares
-
Understanding the causes of errors in eukaryotic protein-coding gene prediction: a case study of primate proteomes
por: Meyer, Corentin, et al.
Publicado: (2020) -
Spliceator: multi-species splice site prediction using convolutional neural networks
por: Scalzitti, Nicolas, et al.
Publicado: (2021) -
Ab-initio two-dimensional digital twin for quantum computer benchmarking
por: Pagano, Alice
Publicado: (2023) -
TSSFinder—fast and accurate ab initio prediction of the core promoter in eukaryotic genomes
por: de Medeiros Oliveira, Mauro, et al.
Publicado: (2021) -
Chalcogen bonds: Hierarchical ab initio benchmark and density functional theory performance study
por: de Azevedo Santos, Lucas, et al.
Publicado: (2021)