How to cite the Bioconductor package goseq

goseq is a popular Bioconductor package that is available at https://bioconductor.org/packages/goseq. 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 7^th edition. Simply copy it to the References page as is.

APA

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 goseq package have suggested.

Example of an in-text citation

Analysis of the data was done using the goseq package (v1.42.0; Young et al., 2010).

Reference list entry

Young, M. D., Wakefield, M. J., Smyth, G. K., & Oshlack, A. (2010). Gene ontology analysis for RNA-seq: accounting for selection bias. In Genome Biology (Vol. 11, p. R14).

Vancouver citation

Formatted according to Vancouver style. Simply copy it to the references section as is.

Vancouver

Example of an in-text citation

Analysis of the data was done using the goseq package v1.42.0 (1).

Reference list entry

1.
Young MD, Wakefield MJ, Smyth GK, Oshlack A. Gene ontology analysis for RNA-seq: accounting for selection bias. Vol. 11, Genome Biology. 2010. p. R14.

BibTeX

Reference entry in BibTeX format. Simply copy it to your favorite citation manager.

BibTeX

@MISC{Young2010-lt,
  title   = "Gene ontology analysis for {RNA-seq}: accounting for selection
             bias",
  author  = "Young, Matthew D and Wakefield, Matthew J and Smyth, Gordon K and
             Oshlack, Alicia",
  journal = "Genome Biology",
  volume  =  11,
  pages   = "R14",
  year    =  2010
}

RIS

Reference entry in RIS format. Simply copy it to your favorite citation manager.

RIS

TY  - MISC
AU  - Young, Matthew D
AU  - Wakefield, Matthew J
AU  - Smyth, Gordon K
AU  - Oshlack, Alicia
TI  - Gene ontology analysis for RNA-seq: accounting for selection bias
T2  - Genome Biology
VL  - 11
SP  - R14
PY  - 2010
DA  - 2010
ER  -

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