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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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| Publicado no: | Genome Biol |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7934511/ https://ncbi.nlm.nih.gov/pubmed/33673854 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-021-02294-2 |
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