DREAMS: deep read-level error model for sequencing data applied to low-frequency variant calling and circulating tumor DNA detection

Circulating tumor DNA detection using next-generation sequencing (NGS) data of plasma DNA is promising for cancer identification and characterization. However, the tumor signal in the blood is often low and difficult to distinguish from errors. We present DREAMS (Deep Read-level Modelling of Sequenc...

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Detalles Bibliográficos
Autores principales: Christensen, Mikkel H., Drue, Simon O., Rasmussen, Mads H., Frydendahl, Amanda, Lyskjær, Iben, Demuth, Christina, Nors, Jesper, Gotschalck, Kåre A., Iversen, Lene H., Andersen, Claus L., Pedersen, Jakob Skou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10150536/
https://www.ncbi.nlm.nih.gov/pubmed/37121998
http://dx.doi.org/10.1186/s13059-023-02920-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10150536/
https://www.ncbi.nlm.nih.gov/pubmed/37121998
http://dx.doi.org/10.1186/s13059-023-02920-1

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