How to cite the Bioconductor package slalom

slalom is a popular Bioconductor package that is available at https://bioconductor.org/packages/slalom. 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 slalom package have suggested.

Example of an in-text citation

Analysis of the data was done using the slalom package (v1.12.0; Buettner et al., 2017).

Reference list entry

Buettner, F., Pratanwanich, N., McCarthy, D. J., Marioni, J., & Stegle, O. (2017). f-scLVM: scalable and versatile factor analysis for single-cell RNA-seqR. In Genome Biology.

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 slalom package v1.12.0 (1).

Reference list entry

1.
Buettner F, Pratanwanich N, McCarthy DJ, Marioni J, Stegle O. f-scLVM: scalable and versatile factor analysis for single-cell RNA-seqR. Genome Biology. 2017.

BibTeX

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

BibTeX

@MISC{Buettner2017-tl,
  title   = "{f-scLVM}: scalable and versatile factor analysis for single-cell
             {RNA-seqR}",
  author  = "Buettner, Florian and Pratanwanich, Naruemon and McCarthy, Davis J
             and Marioni, John and Stegle, Oliver",
  journal = "Genome Biology",
  year    =  2017
}

RIS

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

RIS

TY  - MISC
AU  - Buettner, Florian
AU  - Pratanwanich, Naruemon
AU  - McCarthy, Davis J
AU  - Marioni, John
AU  - Stegle, Oliver
TI  - f-scLVM: scalable and versatile factor analysis for single-cell RNA-seqR
T2  - Genome Biology
PY  - 2017
DA  - 2017
ER  -

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