Bowles, J. R., Hoppe, C., Ashe, H. L., & Rattray, M. (2022). Scalable inference of transcriptional kinetic parameters from MS2 time series data. Bioinformatics, 38(4), 1030-1036. https://doi.org/10.1093/bioinformatics/btab765
ISO-690 (author-date, English)BOWLES, Jonathan R, HOPPE, Caroline, ASHE, Hilary L und RATTRAY, Magnus, 2022. Scalable inference of transcriptional kinetic parameters from MS2 time series data. Bioinformatics. 15 Februar 2022. Vol. 38, no. 4, p. 1030-1036. DOI 10.1093/bioinformatics/btab765.
Modern Language Association 9th editionBowles, J. R., C. Hoppe, H. L. Ashe, und M. Rattray. „Scalable Inference of Transcriptional Kinetic Parameters from MS2 Time Series Data.“. Bioinformatics, Bd. 38, Nr. 4, Februar 2022, S. 1030-6, https://doi.org/10.1093/bioinformatics/btab765.
Mohr Siebeck - Recht (Deutsch - Österreich)Bowles, Jonathan R/Hoppe, Caroline/Ashe, Hilary L/Rattray, Magnus: Scalable inference of transcriptional kinetic parameters from MS2 time series data., Bioinformatics 2022, 1030-1036.
Emerald - HarvardBowles, J.R., Hoppe, C., Ashe, H.L. und Rattray, M. (2022), „Scalable inference of transcriptional kinetic parameters from MS2 time series data.“, Bioinformatics, Vol. 38 No. 4, S. 1030-1036.