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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Bibliografiset tiedot
Julkaisussa:Genome Biol
Päätekijät: 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
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: BioMed Central 2021
Aiheet:
Research
Linkit: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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