APA (7th ed.) Citation

Raditsa, V., Tsukanov, A., Bogomolov, A., & Levitsky, V. (2024). Genomic background sequences systematically outperform synthetic ones in de novo motif discovery for ChIP-seq data. NAR genomics and bioinformatics, 6(3), lqae090. https://doi.org/10.1093/nargab/lqae090

Chicago Style (17th ed.) Citation

Raditsa, Vladimir V, Anton V Tsukanov, Anton G Bogomolov, and Victor G Levitsky. "Genomic Background Sequences Systematically Outperform Synthetic Ones in De Novo Motif Discovery for ChIP-seq Data." NAR Genomics and Bioinformatics 6, no. 3 (2024): lqae090. https://doi.org/10.1093/nargab/lqae090.

MLA (9th ed.) Citation

Raditsa, Vladimir V, et al. "Genomic Background Sequences Systematically Outperform Synthetic Ones in De Novo Motif Discovery for ChIP-seq Data." NAR Genomics and Bioinformatics, vol. 6, no. 3, 2024, p. lqae090, https://doi.org/10.1093/nargab/lqae090.