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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Vydáno v:Genome Biol
Hlavní autoři: 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
Médium: Artigo
Jazyk:Inglês
Vydáno: BioMed Central 2021
Témata:
Research
On-line přístup: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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