Real-Time Selective Sequencing with RUBRIC: Read Until with Basecall and Reference-Informed Criteria
Abstract
Abstract The Oxford MinION, the first commercial nanopore sequencer, is also the first to implement molecule-by-molecule real-time selective sequencing or “Read Until”. As DNA transits a MinION nanopore, real-time pore current data can be accessed and analyzed to provide active feedback to that pore. Fragments of interest are sequenced by default, while DNA deemed non-informative is rejected by reversing the pore bias to eject the strand, providing a novel means of background depletion and/or target enrichment. In contrast to the previously published pattern-matching Read Until approach, our RUBRIC method is the first example of real-time selective sequencing where on-line basecalling enables alignment against conventional nucleic acid references to provide the basis for sequence/reject decisions. We evaluate RUBRIC performance across a range of optimizable parameters, apply it to mixed human/bacteria and CRISPR/Cas9-cut samples, and present a generalized model for estimating real-time selection performance as a function of sample composition and computing configuration.
- Authors:
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-CA), Livermore, CA (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1645170
- Alternate Identifier(s):
- OSTI ID: 1487413; OSTI ID: 1559518
- Report Number(s):
- SAND-2018-10906J; SAND2019-9606J
Journal ID: ISSN 2045-2322; 11475; PII: 47857
- Grant/Contract Number:
- AC04-94AL85000
- Resource Type:
- Published Article
- Journal Name:
- Scientific Reports
- Additional Journal Information:
- Journal Name: Scientific Reports Journal Volume: 9 Journal Issue: 1; Journal ID: ISSN 2045-2322
- Publisher:
- Nature Publishing Group
- Country of Publication:
- United Kingdom
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; 97 MATHEMATICS AND COMPUTING
Citation Formats
Edwards, Harrison S., Krishnakumar, Raga, Sinha, Anupama, Bird, Sara W., Patel, Kamlesh D., and Bartsch, Michael S. Real-Time Selective Sequencing with RUBRIC: Read Until with Basecall and Reference-Informed Criteria. United Kingdom: N. p., 2019.
Web. doi:10.1038/s41598-019-47857-3.
Edwards, Harrison S., Krishnakumar, Raga, Sinha, Anupama, Bird, Sara W., Patel, Kamlesh D., & Bartsch, Michael S. Real-Time Selective Sequencing with RUBRIC: Read Until with Basecall and Reference-Informed Criteria. United Kingdom. https://doi.org/10.1038/s41598-019-47857-3
Edwards, Harrison S., Krishnakumar, Raga, Sinha, Anupama, Bird, Sara W., Patel, Kamlesh D., and Bartsch, Michael S. Wed .
"Real-Time Selective Sequencing with RUBRIC: Read Until with Basecall and Reference-Informed Criteria". United Kingdom. https://doi.org/10.1038/s41598-019-47857-3.
@article{osti_1645170,
title = {Real-Time Selective Sequencing with RUBRIC: Read Until with Basecall and Reference-Informed Criteria},
author = {Edwards, Harrison S. and Krishnakumar, Raga and Sinha, Anupama and Bird, Sara W. and Patel, Kamlesh D. and Bartsch, Michael S.},
abstractNote = {Abstract The Oxford MinION, the first commercial nanopore sequencer, is also the first to implement molecule-by-molecule real-time selective sequencing or “Read Until”. As DNA transits a MinION nanopore, real-time pore current data can be accessed and analyzed to provide active feedback to that pore. Fragments of interest are sequenced by default, while DNA deemed non-informative is rejected by reversing the pore bias to eject the strand, providing a novel means of background depletion and/or target enrichment. In contrast to the previously published pattern-matching Read Until approach, our RUBRIC method is the first example of real-time selective sequencing where on-line basecalling enables alignment against conventional nucleic acid references to provide the basis for sequence/reject decisions. We evaluate RUBRIC performance across a range of optimizable parameters, apply it to mixed human/bacteria and CRISPR/Cas9-cut samples, and present a generalized model for estimating real-time selection performance as a function of sample composition and computing configuration.},
doi = {10.1038/s41598-019-47857-3},
journal = {Scientific Reports},
number = 1,
volume = 9,
place = {United Kingdom},
year = {Wed Aug 07 00:00:00 EDT 2019},
month = {Wed Aug 07 00:00:00 EDT 2019}
}
https://doi.org/10.1038/s41598-019-47857-3
Web of Science
Figures / Tables:
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