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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...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
הוצא לאור ב:Genome Biol
Main Authors: 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
פורמט: Artigo
שפה:Inglês
יצא לאור: BioMed Central 2021
נושאים:
גישה מקוונת: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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