The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Readfish enables targeted nanopore sequencing of gigabase-sized genomes
Open accessAbstract
Nanopore sequencers can be used to selectively sequence certain DNA molecules in a pool by reversing the voltage across individual nanopores to reject specific sequences, enabling enrichment and depletion to address biological questions. Previously, we achieved this using dynamic time warping to map the signal to a reference genome, but the method required substantial computational resources and did not scale to gigabase-sized references. Here we overcome this limitation by using graphical processing unit (GPU) base-calling. We show enrichment of specific chromosomes from the human genome and of low-abundance organisms in mixed populations without a priori knowledge of sample composition. Finally, we enrich targeted panels comprising 25,600 exons from 10,000 human genes and 717 genes implicated in cancer, identifying PML–RARA fusions in the NB4 cell line in <15 h sequencing. These methods can be used to efficiently screen any target panel of genes without specialized sample preparation using any computer and a suitable GPU. Our toolkit, readfish, is available at https://www.github.com/looselab/readfish. A nanopore sequencer achieves selective sequencing of any region in the human genome.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Minimap2: Pairwise alignment for nucleotide sequences
Li, H. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty191 · Cited by 14,807
Assembly of long, error-prone reads using repeat graphs
Kolmogorov, M., Yuan, J., Lin, Y., & Pevzner, P. A. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0072-8 · Cited by 5,986
COSMIC: the Catalogue Of Somatic Mutations In Cancer
Tate, J. G., Bamford, S., Jubb, H. C., Sondka, Z., Beare, D. M., Bindal, N., Boutselakis, H., Cole, C. G., Creatore, C., Dawson, E., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1015 · Cited by 4,867
NanoPack: visualizing and processing long-read sequencing data
De Coster, W., D’Hert, S., Schultz, D. T., Cruts, M., & Van Broeckhoven, C. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty149 · Cited by 3,168
Nanopore sequencing and assembly of a human genome with ultra-long reads
Jain, M., Koren, S., Miga, K. H., Quick, J., Rand, A. C., Sasani, T. A., Tyson, J. R., Beggs, A. D., Dilthey, A. T., Fiddes, I. T., et al. (2018) · Nature Biotechnology · doi:10.1038/nbt.4060 · Cited by 1,892
Self-citationAccurate detection of complex structural variations using single-molecule sequencing
Sedlazeck, F. J., Rescheneder, P., Smolka, M., Fang, H., Nattestad, M., von Haeseler, A., & Schatz, M. C. (2018) · Nature Methods · doi:10.1038/s41592-018-0001-7 · Cited by 1,654
Centrifuge: rapid and sensitive classification of metagenomic sequences
Kim, D., Song, L., Breitwieser, F. P., & Salzberg, S. L. (2016) · Genome Research · doi:10.1101/gr.210641.116 · Cited by 1,438
Gnirke, A., Melnikov, A., Maguire, J., Rogov, P., LeProust, E. M., Brockman, W., Fennell, T., Giannoukos, G., Fisher, S., Russ, C., et al. (2009) · Nature Biotechnology · doi:10.1038/nbt.1523 · Cited by 1,433
Mosdepth: quick coverage calculation for genomes and exomes
Pedersen, B. S., & Quinlan, A. R. (2018) · Bioinformatics · doi:10.1093/bioinformatics/btx699 · Cited by 1,156
Detecting DNA cytosine methylation using nanopore sequencing
Simpson, J. T., Workman, R. E., Zuzarte, P. C., David, M., Dursi, L. J., & Timp, W. (2017) · Nature Methods · doi:10.1038/nmeth.4184 · Cited by 1,136
Cited by
Next-generation sequencing technologies: An overview
Hu, T., Chitnis, N., Monos, D., & Dinh, A. (2021) · Human Immunology · doi:10.1016/j.humimm.2021.02.012 · Cited by 949
Towards population-scale long-read sequencing
De Coster, W., Weissensteiner, M. H., & Sedlazeck, F. J. (2021) · Nature Reviews Genetics · doi:10.1038/s41576-021-00367-3 · Cited by 323
Biases in bulk: DNA metabarcoding of marine communities and the methodology involved
van der Loos, L. M., & Nijland, R. (2021) · Molecular Ecology · doi:10.1111/mec.15592 · Cited by 268
Sepich‐Poore, G. D., Guccione, C., Laplane, L., Pradeu, T., Curtius, K., & Knight, R. (2022) · BioEssays · doi:10.1002/bies.202100252 · Cited by 33
Metadata
- Authors
- Payne, A., Holmes, N., Clarke, T., Munro, R., Debebe, B. J., & Loose, M.
- Venue
- Nature Biotechnology
- Published
- 2020-11-30
- Volume
- 39
- Issue
- 4
- Pages
- 442-450
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W3107212993
- Cited by
- 408
- References
- 30
- FWCI
- 14.59
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Readfish enables targeted nanopore sequencing of gigabase-sized genomes. https://app.cochat.ai/papers/10.1038/s41587-020-00746-x
- The paper
- Payne, A., Holmes, N., Clarke, T., Munro, R., Debebe, B. J., & Loose, M. (2021). Readfish enables targeted nanopore sequencing of gigabase-sized genomes. Nature Biotechnology. https://doi.org/10.1038/s41587-020-00746-x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.