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 computati...

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Vydáno v:	Genome Biology Ročník 22; číslo 1; s. 37
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:	Journal Article
Jazyk:	angličtina
Vydáno:	London BioMed Central 25.01.2021 Springer Nature B.V BMC
Témata:	Accuracy Algorithms Animal Genetics and Genomics Bioinformatics Biomedical and Life Sciences Calibration Computer applications data collection Datasets Deoxyribonucleic acid DNA DNA libraries DNA sequencing Error suppression Evolutionary Biology Gene Library genome High-Throughput Nucleotide Sequencing - methods Human Genetics Humans Life Sciences Microbial Genetics and Genomics Models, Genetic Mutation Next-generation sequencing Nucleotide sequence Plant Genetics and Genomics Quality control SARS-CoV-2 Sequence Analysis, DNA - methods Sequencer/instrument error Error suppression Sequencer/instrument error DNA sequencing
ISSN:	1474-760X, 1474-7596, 1474-760X
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