The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Genome Detective: an automated system for virus identification from high-throughput sequencing data
Open accessAbstract
Summary: Genome Detective is an easy to use web-based software application that assembles the genomes of viruses quickly and accurately. The application uses a novel alignment method that constructs genomes by reference-based linking of de novo contigs by combining amino-acids and nucleotide scores. The software was optimized using synthetic datasets to represent the great diversity of virus genomes. The application was then validated with next generation sequencing data of hundreds of viruses. User time is minimal and it is limited to the time required to upload the data. Availability and implementation: Available online: http://www.genomedetective.com/app/typingtool/virus/. Supplementary information: Supplementary data are available at Bioinformatics online.
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Fast and sensitive protein alignment using DIAMOND
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Identification of common molecular subsequences
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An improved algorithm for matching biological sequences
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Sixteen novel lineages of SARS-CoV-2 in South Africa
Tegally, H., Wilkinson, E., Lessells, R. J., Giandhari, J., Pillay, S., Msomi, N., Mlisana, K., Bhiman, J. N., von Gottberg, A., Walaza, S., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01255-3 · Cited by 349
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Metadata
- Authors
- Vilsker, M., Moosa, Y., Nooij, S., Fonseca, V., Ghysens, Y., Dumon, K., Pauwels, R., Alcantara, L. C., Vanden Eynden, E., Vandamme, A.-M., Deforche, K., & de Oliveira, T.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-08-16
- Volume
- 35
- Issue
- 5
- Pages
- 871-873
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2887749901
- Cited by
- 414
- References
- 15
- FWCI
- 7.77
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Vilsker, M., Moosa, Y., Nooij, S., Fonseca, V., Ghysens, Y., Dumon, K., Pauwels, R., Alcantara, L. C., Vanden Eynden, E., Vandamme, A.-M., Deforche, K., & de Oliveira, T. (2019). Genome Detective: an automated system for virus identification from high-throughput sequencing data. Bioinformatics. https://doi.org/10.1093/bioinformatics/bty695
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