Benchmarking of computational error-correction methods for next-generation sequencing data

BACKGROUND: Recent advancements in next-generation sequencing have rapidly improved our ability to study genomic material at an unprecedented scale. Despite substantial improvements in sequencing technologies, errors present in the data still risk confounding downstream analysis and limiting the app...

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Detalhes bibliográficos
Publicado no:Genome Biol
Main Authors: Mitchell, Keith, Brito, Jaqueline J., Mandric, Igor, Wu, Qiaozhen, Knyazev, Sergey, Chang, Sei, Martin, Lana S., Karlsberg, Aaron, Gerasimov, Ekaterina, Littman, Russell, Hill, Brian L., Wu, Nicholas C., Yang, Harry Taegyun, Hsieh, Kevin, Chen, Linus, Littman, Eli, Shabani, Taylor, Enik, German, Yao, Douglas, Sun, Ren, Schroeder, Jan, Eskin, Eleazar, Zelikovsky, Alex, Skums, Pavel, Pop, Mihai, Mangul, Serghei
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2020
Assuntos:
Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7079412/
https://ncbi.nlm.nih.gov/pubmed/32183840
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-020-01988-3
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