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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Detaylı Bibliyografya
Yayımlandı:Genome Biol
Asıl Yazarlar: 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
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: BioMed Central 2020
Konular:
Research
Online Erişim: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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