Extensible benchmarking of methods that identify and quantify polyadenylation sites from RNA-seq data

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The tremendous rate with which data is generated and analysis methods emerge makes it increasingly difficult to keep track of their domain of applicability, assumptions, limitations, and consequently, of the efficacy and precision with which they solve specific tasks. Therefore, there is an increasi...

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Detalles Bibliográficos
Autores principales: Bryce-Smith, Sam, Burri, Dominik, Gazzara, Matthew R., Herrmann, Christina J., Danecka, Weronika, Fitzsimmons, Christina M., Wan, Yuk Kei, Zhuang, Farica, Fansler, Mervin M., Fernández, José M., Ferret, Meritxell, Gonzalez-Uriarte, Asier, Haynes, Samuel, Herdman, Chelsea, Kanitz, Alexander, Katsantoni, Maria, Marini, Federico, McDonnel, Euan, Nicolet, Ben, Poon, Chi-Lam, Rot, Gregor, Schärfen, Leonard, Wu, Pin-Jou, Yoon, Yoseop, Barash, Yoseph, Zavolan, Mihaela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2023
Materias:
Bioinformatics: Benchmark
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10653393/
https://www.ncbi.nlm.nih.gov/pubmed/37816550
http://dx.doi.org/10.1261/rna.079849.123

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10653393/
https://www.ncbi.nlm.nih.gov/pubmed/37816550
http://dx.doi.org/10.1261/rna.079849.123

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