To cite package ‘baySeq’ in publications use: Hardcastle, J T (2024). _baySeq: empirical Bayesian methods for identifying differential expression in sequence count data._. doi:10.18129/B9.bioc.baySeq , https://github.com/SamGG/baySeq/baySeq - R package version 2.39.0, . A BibTeX entry for LaTeX users is @Manual{, title = {baySeq: empirical Bayesian methods for identifying differential expression in sequence count data.}, author = {{Hardcastle} and Thomas J}, year = {2024}, url = {http://www.bioconductor.org/packages/baySeq}, note = {https://github.com/SamGG/baySeq/baySeq - R package version 2.39.0}, doi = {10.18129/B9.bioc.baySeq}, } Hardcastle, J T (2016 Jan 15). “Generalized empirical Bayesian methods for discovery of differential data in high-throughput biology.” _Bioinformatics_. doi:10.1093/bioinformatics/btv569 , . A BibTeX entry for LaTeX users is @Article{, title = {Generalized empirical Bayesian methods for discovery of differential data in high-throughput biology.}, author = {{Hardcastle} and Thomas J}, year = {2016 Jan 15}, journal = {Bioinformatics}, doi = {10.1093/bioinformatics/btv569}, url = {https://academic.oup.com/bioinformatics/article/32/2/195/1744387}, } Hardcastle, J T, Kelly, A K (2010 Aug 10). “baySeq: empirical Bayesian methods for identifying differential expression in sequence count data.” _BMC Bioinformatics_. doi:10.1186/1471-2105-11-422 , . A BibTeX entry for LaTeX users is @Article{, title = {baySeq: empirical Bayesian methods for identifying differential expression in sequence count data.}, author = {{Hardcastle} and Thomas J and {Kelly} and Krystyna A}, year = {2010 Aug 10}, journal = {BMC Bioinformatics}, doi = {10.1186/1471-2105-11-422}, url = {https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-11-422}, }