seqQscorer: automated quality control of next-generation sequencing data using machine learning

Controlling quality of next-generation sequencing (NGS) data files is a necessary but complex task. To address this problem, we statistically characterize common NGS quality features and develop a novel quality control procedure involving tree-based and deep learning classification algorithms. Predi...

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Detalles Bibliográficos
Autores principales: Albrecht, Steffen, Sprang, Maximilian, Andrade-Navarro, Miguel A., Fontaine, Jean-Fred
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7934511/
https://www.ncbi.nlm.nih.gov/pubmed/33673854
http://dx.doi.org/10.1186/s13059-021-02294-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7934511/
https://www.ncbi.nlm.nih.gov/pubmed/33673854
http://dx.doi.org/10.1186/s13059-021-02294-2

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