The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
MOB-suite: software tools for clustering, reconstruction and typing of plasmids from draft assemblies
Open accessAbstract
Large-scale bacterial population genetics studies are now routine due to cost-effective Illumina short-read sequencing. However, analysing plasmid content remains difficult due to incomplete assembly of plasmids. Bacterial isolates can contain any number of plasmids and assembly remains complicated due to the presence of repetitive elements. Numerous tools have been developed to analyse plasmids but the performance and functionality of the tools are variable. The MOB-suite was developed as a set of modular tools for reconstruction and typing of plasmids from draft assembly data to facilitate characterization of plasmids. Using a set of closed genomes with publicly available Illumina data, the MOB-suite identified contigs of plasmid origin with both high sensitivity and specificity (95 and 88 %, respectively). In comparison, plasmidfinder demonstrated high specificity (99 %) but limited sensitivity (50 %). Using the same dataset of 377 known plasmids, MOB-recon accurately reconstructed 207 plasmids so that they were assigned to a single grouping without other plasmid or chromosomal sequences, whereas plasmidSPAdes was only able to accurately reconstruct 102 plasmids. In general, plasmidSPAdes has a tendency to merge different plasmids together, with 208 plasmids undergoing merge events. The MOB-suite reduces the number of errors but produces more hybrid plasmids, with 84 plasmids undergoing both splits and merges. The MOB-suite also provides replicon typing similar to plasmidfinder but with the inclusion of relaxase typing and prediction of conjugation potential. The MOB-suite is written in Python 3 and is available from https://github.com/phac-nml/mob-suite.
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BLAST+: architecture and applications
Camacho, C., Coulouris, G., Avagyan, V., Ma, N., Papadopoulos, J., Bealer, K., & Madden, T. L. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-421 · Cited by 22,074
Walker, B. J., Abeel, T., Shea, T., Priest, M., Abouelliel, A., Sakthikumar, S., Cuomo, C. A., Zeng, Q., Wortman, J., Young, S. K., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0112963 · Cited by 9,197
Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads
Wick, R. R., Judd, L. M., Gorrie, C. L., & Holt, K. E. (2017) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1005595 · Cited by 8,653
Carattoli, A., Zankari, E., García-Fernández, A., Voldby Larsen, M., Lund, O., Villa, L., Møller Aarestrup, F., & Hasman, H. (2014) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.02412-14 · Cited by 4,877
Mash: fast genome and metagenome distance estimation using MinHash
Ondov, B. D., Treangen, T. J., Melsted, P., Mallonee, A. B., Bergman, N. H., Koren, S., & Phillippy, A. M. (2016) · Genome biology · doi:10.1186/s13059-016-0997-x · Cited by 3,373
ISfinder: the reference centre for bacterial insertion sequences
Siguier, P. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj014 · Cited by 2,767
Identification of plasmids by PCR-based replicon typing
Carattoli, A., Bertini, A., Villa, L., Falbo, V., Hopkins, K. L., & Threlfall, E. J. (2005) · Journal of Microbiological Methods · doi:10.1016/j.mimet.2005.03.018 · Cited by 2,319
Interactive metagenomic visualization in a Web browser
Ondov, B. D., Bergman, N. H., & Phillippy, A. M. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-385 · Cited by 2,144
Dissemination of Antimicrobial Resistance in Microbial Ecosystems through Horizontal Gene Transfer
von Wintersdorff, C. J. H., Penders, J., van Niekerk, J. M., Mills, N. D., Majumder, S., van Alphen, L. B., Savelkoul, P. H. M., & Wolffs, P. F. G. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.00173 · Cited by 1,707
Circlator: automated circularization of genome assemblies using long sequencing reads
Hunt, M., Silva, N. D., Otto, T. D., Parkhill, J., Keane, J. A., & Harris, S. R. (2015) · Genome Biology · doi:10.1186/s13059-015-0849-0 · Cited by 1,184
Cited by
Population genomics of Klebsiella pneumoniae
Wyres, K. L., Lam, M. M. C., & Holt, K. E. (2020) · Nature Reviews Microbiology · doi:10.1038/s41579-019-0315-1 · Cited by 1,160
PLSDB: a resource of complete bacterial plasmids
Galata, V., Fehlmann, T., Backes, C., & Keller, A. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1050 · Cited by 470
Guitor, A. K., Yousuf, E. I., Raphenya, A. R., Hutton, E. K., Morrison, K. M., McArthur, A. G., Wright, G. D., & Stearns, J. C. (2022) · Microbiome · doi:10.1186/s40168-022-01327-7 · Cited by 44
Dewar, A. E., Thomas, J. L., Scott, T. W., Wild, G., Griffin, A. S., West, S. A., & Ghoul, M. (2021) · Nature Ecology & Evolution · doi:10.1038/s41559-021-01573-2 · Cited by 44
Genomic insights into antibiotic resistance and mobilome of lactic acid bacteria and bifidobacteria
Rozman, V., Mohar Lorbeg, P., Treven, P., Accetto, T., Janežič, S., Rupnik, M., & Bogovič Matijašić, B. (2023) · Life Science Alliance · doi:10.26508/lsa.202201637 · Cited by 36
Metadata
- Authors
- Robertson, J., & Nash, J. H. E.
- Venue
- Microbial Genomics
- Publisher
- Microbiology Society
- Published
- 2018-08-01
- Volume
- 4
- Issue
- 8
- ISSN
- 2057-5858 (ISSN-L)
- OpenAlex
- W2883838322
- Cited by
- 1,013
- References
- 31
- FWCI
- 8.95
- Type
- journal article
- Language
- en
- Open access
- gold
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