The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
PGAP: pan-genomes analysis pipeline
Open accessAbstract
Summary: With the rapid development of DNA sequencing technology, increasing bacteria genome data enable the biologists to dig the evolutionary and genetic information of prokaryotic species from pan-genome sight. Therefore, the high-efficiency pipelines for pan-genome analysis are mostly needed. We have developed a new pan-genome analysis pipeline (PGAP), which can perform five analytic functions with only one command, including cluster analysis of functional genes, pan-genome profile analysis, genetic variation analysis of functional genes, species evolution analysis and function enrichment analysis of gene clusters. PGAP's performance has been evaluated on 11 Streptococcus pyogenes strains. Availability:PGAP is developed with Perl script on the Linux Platform and the package is freely available from http://pgap.sf.net. Contact: junyu@big.ac.cn; xiaojingfa@big.ac.cn Supplementary information: Supplementary data are available at Bioinformatics online.
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The NIH Human Microbiome Project
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High-throughput sequencing provides insights into genome variation and evolution in Salmonella Typhi
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Cited by
Roary: rapid large-scale prokaryote pan genome analysis
Page, A. J., Cummins, C. A., Hunt, M., Wong, V. K., Reuter, S., Holden, M. T. G., Fookes, M., Falush, D., Keane, J. A., & Parkhill, J. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv421 · Cited by 5,736
BPGA- an ultra-fast pan-genome analysis pipeline
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Ten years of pan-genome analyses
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Eizenga, J. M., Novak, A. M., Sibbesen, J. A., Heumos, S., Ghaffaari, A., Hickey, G., Chang, X., Seaman, J. D., Rounthwaite, R., Ebler, J., et al. (2020) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-120219-080406 · Cited by 320
Exploring Vertical Transmission of Bifidobacteria from Mother to Child
Milani, C., Mancabelli, L., Lugli, G. A., Duranti, S., Turroni, F., Ferrario, C., Mangifesta, M., Viappiani, A., Ferretti, P., Gorfer, V., et al. (2015) · Applied and Environmental Microbiology · doi:10.1128/aem.02037-15 · Cited by 258
Metadata
- Authors
- Zhao, Y., Wu, J., Yang, J., Sun, S., Xiao, J., & Yu, J.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-11-29
- Volume
- 28
- Issue
- 3
- Pages
- 416-418
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2117207428
- Cited by
- 517
- References
- 14
- FWCI
- 4.35
- Type
- journal article
- Language
- en
- Open access
- hybrid
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