Abstract
Unique molecular identifiers are random oligonucleotide sequences that remove PCR amplification biases. However, the impact that PCR associated sequencing errors have on the accuracy of generating absolute counts of RNA molecules is underappreciated. We show that PCR errors are a source of inaccuracy in both bulk and single-cell sequencing data, and synthesizing unique molecular identifiers using homotrimeric nucleotide blocks provides an error-correcting solution that allows absolute counting of sequenced molecules.
This study introduces a method utilizing homotrimeric nucleotide blocks to achieve accurate counts of RNA molecules in both bulk and single-cell sequencing data.
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1 University of Oxford, Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, National Institute of Health Research Oxford Biomedical Research Unit (BRU), Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948)
2 Ludwig-Maximilians University of Munich, Gene Center, Munich, Germany (GRID:grid.5252.0) (ISNI:0000 0004 1936 973X)
3 Oxford Science Park, ATDBio Ltd (now part of Biotage), Magdalen Centre, Oxford, UK (GRID:grid.498070.2) (ISNI:0000 0004 0614 5817)
4 The Pennsylvania State University, Department of Computer Science and Engineering, University Park, USA (GRID:grid.29857.31) (ISNI:0000 0001 2097 4281); The Pennsylvania State University, Huck Institutes of the Life Sciences, University Park, USA (GRID:grid.29857.31) (ISNI:0000 0001 2097 4281)
5 University of Oxford, Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, National Institute of Health Research Oxford Biomedical Research Unit (BRU), Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948); University of Oxford, Oxford Centre for Translational Myeloma Research, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948)