Instance-based error correction for short reads of disease-associated genes

BACKGROUND: Genomic reads from sequencing platforms contain random errors. Global correction algorithms have been developed, aiming to rectify all possible errors in the reads using generic genome-wide patterns. However, the non-uniform sequencing depths hinder the global approach to conduct effecti...

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Detalles Bibliográficos
Autores principales: Zhang, Xuan, Liu, Yuansheng, Yu, Zuguo, Blumenstein, Michael, Hutvagner, Gyorgy, Li, Jinyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8170817/
https://www.ncbi.nlm.nih.gov/pubmed/34078284
http://dx.doi.org/10.1186/s12859-021-04058-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8170817/
https://www.ncbi.nlm.nih.gov/pubmed/34078284
http://dx.doi.org/10.1186/s12859-021-04058-y

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