BulkVis: a graphical viewer for Oxford nanopore bulk FAST5 files
Open accessPublished version of a preprint
Abstract
Motivation: The Oxford Nanopore Technologies (ONT) MinION is used for sequencing a wide variety of sample types with diverse methods of sample extraction. Nanopore sequencers output FAST5 files containing signal data subsequently base called to FASTQ format. Optionally, ONT devices can collect data from all sequencing channels simultaneously in a bulk FAST5 file enabling inspection of signal in any channel at any point. We sought to visualize this signal to inspect challenging or difficult to sequence samples. Results: The BulkVis tool can load a bulk FAST5 file and overlays MinKNOW (the software that controls ONT sequencers) classifications on the signal trace and can show mappings to a reference. Users can navigate to a channel and time or, given a FASTQ header from a read, jump to its specific position. BulkVis can export regions as Nanopore base caller compatible reads. Using BulkVis, we find long reads can be incorrectly divided by MinKNOW resulting in single DNA molecules being split into two or more reads. The longest seen to date is 2 272 580 bases in length and reported in eleven consecutive reads. We provide helper scripts that identify and reconstruct split reads given a sequencing summary file and alignment to a reference. We note that incorrect read splitting appears to vary according to input sample type and is more common in ’ultra-long’ read preparations. Availability and implementation: The software is available freely under an MIT license at https://github.com/LooseLab/bulkvis. Supplementary information: Supplementary data are available at Bioinformatics online.
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Long-read techniques such as PacBio and Nanopore can generate reads up to 2 Mb.
“Long-read techniques, such as PacBio and Nanopore, can generate reads up to 2 Mb7, but they are prone to errors, including frequent indels, which can lead to artefacts in long-read-only assemblies6.”
From Hybrid genome assembly and annotation of Danionella translucida (2019) · cites this paper as [7]
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Schneider, V. A., Graves-Lindsay, T., Howe, K., Bouk, N., Chen, H.-C., Kitts, P. A., Murphy, T. D., Pruitt, K. D., Thibaud-Nissen, F., Albracht, D., et al. (2017) · Genome Research · doi:10.1101/gr.213611.116 · Cited by 1,193 · see citing works
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- Euskirchen P. et al (2017) Same-day genomic and epigenomic diagnosis of brain tumors using real-time nanopore sequencing. Acta Neuropathol., 134, 691– 703. 28638988 PMC5645447
- Ip C.L. et al (2015) MinION Analysis and Reference Consortium: Phase 1 data release and analysis [version 1; referees: 2 approved]. F1000Res., 4, 1075. 26834992 PMC4722697
- Jain M. et al (2015) Improved data analysis for the MinION nanopore sequencer. Nat. Methods, 12, 351– 356. 25686389 PMC4907500
- Jain M. et al (2018) Nanopore sequencing and assembly of a human genome with ultra-long reads. Nat. Biotechnol., 36, 338– 345. 29431738 PMC5889714
- Kiełbasa S.M. et al (2011) Adaptive seeds tame genomic sequence comparison. Genome Res., 21, 487– 493. 21209072 PMC3044862
- Li H. (2016) Minimap and miniasm: fast mapping and de novo assembly for noisy long sequences. Bioinformatics, 32, 2103– 2110. 27153593 PMC4937194
- Li H. (2018) Minimap2: pairwise alignment for nucleotide sequences. Bioinformatics, 34, 3094– 3100. 29750242 PMC6137996
- Loose M. et al (2016) Real-time selective sequencing using nanopore technology. Nat. Methods, 13, 751– 754. 27454285 PMC5008457
- McKinney W. (2010). Data structures for statistical computing in python In: van der Walt S., Millman J. (eds.) Proceedings of the 9th Python in Science Conference, pp. 51– 56.
- Quick J. et al (2016) Real-time, portable genome sequencing for ebola surveillance. Nature, 530, 228– 232. 26840485 PMC4817224
- White R. et al (2017) Investigation of chimeric reads using the MinION. F1000Res., 6, 631. 28928943 PMC5600009
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De Coster, W., Weissensteiner, M. H., & Sedlazeck, F. J. (2021) · Nature Reviews Genetics · doi:10.1038/s41576-021-00367-3 · Cited by 323 · see citing works
Hybrid genome assembly and annotation of Danionella translucida
Kadobianskyi, M., Schulze, L., Schuelke, M., & Judkewitz, B. (2019) · Scientific Data · doi:10.1038/s41597-019-0161-z · Cited by 36 · see citing works
- Authors
- Payne, A., Holmes, N., Rakyan, V. K., & Loose, M.
- Affiliations
- University of Nottingham (GB)
- Queen Mary University of London (GB)
- Corresponding author
- Matthew Loose
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-11-20
- Volume
- 35
- Issue
- 13
- Pages
- 2193-2198
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- PMC
- PMC6596899
- OpenAlex
- W2901438556
- Cited by
- 326
- References
- 1
- Citations by year
- 2026: 17 · 2025: 35 · 2024: 42 · 2023: 43 · 2022: 49 · 2021: 43 · 2020: 42 · 2019: 46 · 2018: 9
- FWCI
- 12.31
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Bioinformatics (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Repository@Nottingham (University of Nottingham) (publishedVersion, other-oa)
- Repository@Nottingham (University of Nottingham) (submittedVersion, cc-by)
- Funders
- Wellcome Trust (204843/Z/16/Z)
- Biotechnology and Biological Sciences Research Council (BB/N017099/1, BB/M020061/1, BB/M008770/1, 1949454)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Physical Sciences › Engineering › Biomedical Engineering › Nanopore and Nanochannel Transport Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genetics, Bioinformatics, and Biomedical Research
- Keywords
- Oxford Nanopore MinION, signal visualization, long-read sequencing, reference alignment
- MeSH terms
- DNA, Software, Sequence Analysis, DNA, Nanopores, High-Throughput Nucleotide Sequencing
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