How to cite the Bioconductor package phyloseq
phyloseq is a popular Bioconductor package that is available at https://bioconductor.org/packages/phyloseq. By citing R packages in your paper you lay the grounds for others to be able to reproduce your analysis and secondly you are acknowledging the time and work people have spent creating the package.
APA citation
Formatted according to the APA Publication Manual 7th edition. Simply copy it to the References page as is.
The minimal requirement is to cite the R package in text along with the version number. Additionally, you can include the reference list entry the authors of the phyloseq package have suggested.
Example of an in-text citation
Analysis of the data was done using the phyloseq package (v1.34.0; McMurdie & Holmes, 2013).
Reference list entry
McMurdie, P. J., & Holmes, S. (2013). Phyloseq: An R package for reproducible interactive analysis and graphics of microbiome census data. PloS One, 8(4), e61217.
Vancouver citation
Formatted according to Vancouver style. Simply copy it to the references section as is.
Example of an in-text citation
Analysis of the data was done using the phyloseq package v1.34.0 (1).
Reference list entry
1.McMurdie PJ, Holmes S. Phyloseq: An R package for reproducible interactive analysis and graphics of microbiome census data. PLoS One. 2013 Apr 22;8(4):e61217.
BibTeX
Reference entry in BibTeX format. Simply copy it to your favorite citation manager.
@ARTICLE{McMurdie2013-bv, title = "Phyloseq: An {R} package for reproducible interactive analysis and graphics of microbiome census data", author = "McMurdie, Paul J and Holmes, Susan", journal = "PLoS One", publisher = "Public Library of Science (PLoS)", volume = 8, number = 4, pages = "e61217", month = apr, year = 2013, url = "http://dx.doi.org/10.1371/journal.pone.0061217", language = "en", issn = "1932-6203", doi = "10.1371/journal.pone.0061217" }
RIS
Reference entry in RIS format. Simply copy it to your favorite citation manager.
TY - JOUR AU - McMurdie, Paul J AU - Holmes, Susan TI - Phyloseq: An R package for reproducible interactive analysis and graphics of microbiome census data T2 - PLoS One VL - 8 IS - 4 SP - e61217 PY - 2013 DA - 2013/4/22 PB - Public Library of Science (PLoS) SN - 1932-6203 DO - 10.1371/journal.pone.0061217 UR - http://dx.doi.org/10.1371/journal.pone.0061217 ER -
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