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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Bibliografski detalji
Izdano u:Genome Biol
Glavni autori: 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
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2020
Teme:
Research
Online pristup: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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