GAPGOM—an R package for gene annotation prediction using GO Metrics

OBJECTIVE: Properties of gene products can be described or annotated with Gene Ontology (GO) terms. But for many genes we have limited information about their products, for example with respect to function. This is particularly true for long non-coding RNAs (lncRNAs), where the function in most case...

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Detalles Bibliográficos
Autores principales: van Mourik, Casper, Ehsani, Rezvan, Drabløs, Finn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086094/
https://www.ncbi.nlm.nih.gov/pubmed/33931103
http://dx.doi.org/10.1186/s13104-021-05580-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086094/
https://www.ncbi.nlm.nih.gov/pubmed/33931103
http://dx.doi.org/10.1186/s13104-021-05580-1

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