How to cite the Bioconductor package alpine
alpine is a popular Bioconductor package that is available at https://bioconductor.org/packages/alpine. 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 alpine package have suggested.
Example of an in-text citation
Analysis of the data was done using the alpine package (v1.16.0; Love et al., 2016).
Reference list entry
Love, M. I., Hogenesch, J. B., & Irizarry, R. A. (2016). Modeling of RNA-seq fragment sequence bias reduces systematic errors in transcript abundance estimation. Nature Biotechnology, 34(12), 1287–1291.
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 alpine package v1.16.0 (1).
Reference list entry
1.Love MI, Hogenesch JB, Irizarry RA. Modeling of RNA-seq fragment sequence bias reduces systematic errors in transcript abundance estimation. Nat Biotechnol. 2016 Dec;34(12):1287–91.
BibTeX
Reference entry in BibTeX format. Simply copy it to your favorite citation manager.
@ARTICLE{Love2016-lp, title = "Modeling of {RNA-seq} fragment sequence bias reduces systematic errors in transcript abundance estimation", author = "Love, Michael I and Hogenesch, John B and Irizarry, Rafael A", journal = "Nat. Biotechnol.", publisher = "Springer Science and Business Media LLC", volume = 34, number = 12, pages = "1287--1291", month = dec, year = 2016, url = "http://dx.doi.org/10.1038/nbt.3682", language = "en", issn = "1087-0156, 1546-1696", doi = "10.1038/nbt.3682" }
RIS
Reference entry in RIS format. Simply copy it to your favorite citation manager.
TY - JOUR AU - Love, Michael I AU - Hogenesch, John B AU - Irizarry, Rafael A TI - Modeling of RNA-seq fragment sequence bias reduces systematic errors in transcript abundance estimation T2 - Nat. Biotechnol. VL - 34 IS - 12 SP - 1287-1291 PY - 2016 DA - 2016/12 PB - Springer Science and Business Media LLC SN - 1087-0156 DO - 10.1038/nbt.3682 UR - http://dx.doi.org/10.1038/nbt.3682 ER -
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