The DOI matches its Crossref record; 329 of the 329 references it cites were found in a registry or an index.
Nanopore sequencing technology, bioinformatics and applications
Open accessAbstract
Rapid advances in nanopore technologies for sequencing single long DNA and RNA molecules have led to substantial improvements in accuracy, read length and throughput. These breakthroughs have required extensive development of experimental and bioinformatics methods to fully exploit nanopore long reads for investigations of genomes, transcriptomes, epigenomes and epitranscriptomes. Nanopore sequencing is being applied in genome assembly, full-length transcript detection and base modification detection and in more specialized areas, such as rapid clinical diagnoses and outbreak surveillance. Many opportunities remain for improving data quality and analytical approaches through the development of new nanopores, base-calling methods and experimental protocols tailored to particular applications. Au and colleagues outline the field of nanopore sequencing.
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Basic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669
Electric Field Effect in Atomically Thin Carbon Films
Novoselov, K. S., Geim, A. K., Morozov, S. V., Jiang, D., Zhang, Y., Dubonos, S. V., Grigorieva, I. V., & Firsov, A. A. (2004) · Science · doi:10.1126/science.1102896 · Cited by 66,834
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
Minimap2: Pairwise alignment for nucleotide sequences
Li, H. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty191 · Cited by 14,807
Lu, R., Zhao, X., Li, J., Niu, P., Yang, B., Wu, H., Wang, W., Song, H., Huang, B., Zhu, N., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30251-8 · Cited by 11,907
Canu: scalable and accurate long-read assembly via adaptive k -mer weighting and repeat separation
Koren, S., Walenz, B. P., Berlin, K., Miller, J. R., Bergman, N. H., & Phillippy, A. M. (2017) · Genome Research · doi:10.1101/gr.215087.116 · Cited by 7,304
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
Haplotype-resolved de novo assembly using phased assembly graphs with hifiasm
Cheng, H., Concepcion, G. T., Feng, X., Zhang, H., & Li, H. (2021) · Nature Methods · doi:10.1038/s41592-020-01056-5 · Cited by 5,859
Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data
Chin, C.-S., Alexander, D. H., Marks, P., Klammer, A. A., Drake, J., Heiner, C., Clum, A., Copeland, A., Huddleston, J., Eichler, E. E., et al. (2013) · Nature Methods · doi:10.1038/nmeth.2474 · Cited by 4,029
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Warburton, P. E., & Sebra, R. P. (2023) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-101722-103045 · Cited by 163
Wang, X., Luan, Y., & Yue, F. (2022) · Science Advances · doi:10.1126/sciadv.abn9215 · Cited by 148
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Hayes, C. N., Nakahara, H., Ono, A., Tsuge, M., & Oka, S. (2024) · Genes · doi:10.3390/genes15121551 · Cited by 119
Tabatabaei, S. K., Pham, B., Pan, C., Liu, J., Chandak, S., Shorkey, S. A., Hernandez, A. G., Aksimentiev, A., Chen, M., Schroeder, C. M., et al. (2022) · Nano Letters · doi:10.1021/acs.nanolett.1c04203 · Cited by 63
Metadata
- Authors
- Wang, Y., Zhao, Y., Bollas, A., Wang, Y., & Au, K. F.
- Venue
- Nature Biotechnology
- Published
- 2021-11
- Volume
- 39
- Issue
- 11
- Pages
- 1348-1365
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W3213101281
- Cited by
- 1,753
- References
- 329
- FWCI
- 66.08
- Type
- journal article
- Language
- en
- Open access
- green
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