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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Bibliografiske detaljer
Udgivet i: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
Format: Artigo
Sprog:Inglês
Udgivet: BioMed Central 2021
Fag:
Research
Online adgang: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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