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SequencErr: measuring and suppressing sequencer errors in next-generation sequencing data

BACKGROUND: There is currently no method to precisely measure the errors that occur in the sequencing instrument/sequencer, which is critical for next-generation sequencing applications aimed at discovering the genetic makeup of heterogeneous cellular populations. RESULTS: We propose a novel computa...

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Dades bibliogràfiques
Publicat a:Genome Biol
Autors principals: Davis, Eric M., Sun, Yu, Liu, Yanling, Kolekar, Pandurang, Shao, Ying, Szlachta, Karol, Mulder, Heather L., Ren, Dongren, Rice, Stephen V., Wang, Zhaoming, Nakitandwe, Joy, Gout, Alexander M., Shaner, Bridget, Hall, Salina, Robison, Leslie L., Pounds, Stanley, Klco, Jeffery M., Easton, John, Ma, Xiaotu
Format: Artigo
Idioma:Inglês
Publicat: BioMed Central 2021
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7829059/
https://ncbi.nlm.nih.gov/pubmed/33487172
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-020-02254-2
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