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Fast and sensitive mapping of nanopore sequencing reads with GraphMap
Open accessAbstract
Realizing the democratic promise of nanopore sequencing requires the development of new bioinformatics approaches to deal with its specific error characteristics. Here we present GraphMap, a mapping algorithm designed to analyse nanopore sequencing reads, which progressively refines candidate alignments to robustly handle potentially high-error rates and a fast graph traversal to align long reads with speed and high precision (>95%). Evaluation on MinION sequencing data sets against short- and long-read mappers indicates that GraphMap increases mapping sensitivity by 10–80% and maps >95% of bases. GraphMap alignments enabled single-nucleotide variant calling on the human genome with increased sensitivity (15%) over the next best mapper, precise detection of structural variants from length 100 bp to 4 kbp, and species and strain-specific identification of pathogens using MinION reads. GraphMap is available open source under the MIT license at https://github.com/isovic/graphmap .
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Cited by
Minimap2: Pairwise alignment for nucleotide sequences
Li, H. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty191 · Cited by 14,807
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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
The Oxford Nanopore MinION: delivery of nanopore sequencing to the genomics community
Jain, M., Olsen, H. E., Paten, B., & Akeson, M. (2016) · Genome Biology · doi:10.1186/s13059-016-1103-0 · Cited by 1,588
Piercing the dark matter: bioinformatics of long-range sequencing and mapping
Sedlazeck, F. J., Lee, H., Darby, C. A., & Schatz, M. C. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0003-4 · Cited by 530
Detection of long repeat expansions from PCR-free whole-genome sequence data
Dolzhenko, E., van Vugt, J. J. F. A., Shaw, R. J., Bekritsky, M. A., van Blitterswijk, M., Narzisi, G., Ajay, S. S., Rajan, V., Lajoie, B. R., Johnson, N. H., et al. (2017) · Genome Research · doi:10.1101/gr.225672.117 · Cited by 388
GraphAligner: rapid and versatile sequence-to-graph alignment
Rautiainen, M., & Marschall, T. (2020) · Genome Biology · doi:10.1186/s13059-020-02157-2 · Cited by 242
Technology dictates algorithms: recent developments in read alignment
Alser, M., Rotman, J., Deshpande, D., Taraszka, K., Shi, H., Baykal, P. I., Yang, H. T., Xue, V., Knyazev, S., Singer, B. D., et al. (2021) · Genome Biology · doi:10.1186/s13059-021-02443-7 · Cited by 144
Schmid, M., Frei, D., Patrignani, A., Schlapbach, R., Frey, J. E., Remus-Emsermann, M. N. P., & Ahrens, C. H. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky726 · Cited by 92
Metadata
- Authors
- Sović, I., Šikić, M., Wilm, A., Fenlon, S. N., Chen, S., & Nagarajan, N.
- Venue
- Nature Communications
- Published
- 2016-04-15
- Volume
- 7
- Issue
- 1
- Pages
- 11307-11307
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2337261418
- Cited by
- 393
- References
- 0
- FWCI
- 27.09
- Type
- journal article
- Language
- en
- Open access
- gold
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