A scaling normalization method for differential expression analysis of RNA-seq data von Robinson, Mark D, Oshlack, Alicia

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Robustly detecting differential expression in RNA sequencing data using observation weights von Zhou, Xiaobei, Lindsay, Helen, Robinson, Mark D

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Comparison of clustering methods for high‐dimensional single‐cell flow and mass cytometry data von Weber, Lukas M., Robinson, Mark D.

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edgeR: a Bioconductor package for differential expression analysis of digital gene expression data von Robinson, Mark D., McCarthy, Davis J., Smyth, Gordon K.

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Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences von Soneson, Charlotte, Love, Michael I, Robinson, Mark D

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pipeComp, a general framework for the evaluation of computational pipelines, reveals performant single cell RNA-seq preprocessing tools von Germain, Pierre-Luc, Sonrel, Anthony, Robinson, Mark D.

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Treatment of a metabolic liver disease by in vivo genome base editing in adult mice von Villiger, Lukas, Grisch-Chan, Hiu Man, Lindsay, Helen, Ringnalda, Femke, Pogliano, Chiara B., Allegri, Gabriella, Fingerhut, Ralph, Häberle, Johannes, Matos, Joao, Robinson, Mark D., Thöny, Beat, Schwank, Gerald

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Eleven grand challenges in single-cell data science von Laehnemann, David, Koester, Johannes, Szczurek, Ewa, McCarthy, Davis J., Hicks, Stephanie C., Robinson, Mark D., Vallejos, Catalina A., Campbell, Kieran R., Beerenwinkel, Niko, Mahfouz, Ahmed, Pinello, Luca, Skums, Pavel, Stamatakis, Alexandros, Attolini, Camille Stephan-Otto, Aparicio, Samuel, Baaijens, Jasmijn, Balvert, Marleen, de Barbanson, Buys, Cappuccio, Antonio, Corleone, Giacomo, Dutilh, Bas E., Florescu, Maria, Guryev, Victor, Holmer, Rens, Jahn, Katharina, Lobo, Thamar Jessurun, Keizer, Emma M., Khatri, Indu, Kielbasa, Szymon M., Korbel, Jan O., Kozlov, Alexey M., Kuo, Tzu-Hao, Lelieveldt, Boudewijn P. F., Mandoiu, Ion I., Marioni, John C., Marschall, Tobias, Moelder, Felix, Niknejad, Amir, Raczkowski, Lukasz, Reinders, Marcel, de Ridder, Jeroen, Saliba, Antoine-Emmanuel, Somarakis, Antonios, Stegle, Oliver, Theis, Fabian J., Yang, Huan, Zelikovsky, Alex, McHardy, Alice C., Raphael, Benjamin J., Shah, Sohrab P., Schonhuth, Alexander

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Count-based differential expression analysis of RNA sequencing data using R and Bioconductor von Anders, Simon, McCarthy, Davis J, Chen, Yunshun, Okoniewski, Michal, Smyth, Gordon K, Huber, Wolfgang, Robinson, Mark D

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Doublet identification in single-cell sequencing data using scDblFinder [version 1; peer review: 1 approved, 1 approved with reservations] von Germain, Pierre-Luc, Lun, Aaron, Macnair, Will, Robinson, Mark D

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stageR: a general stage-wise method for controlling the gene-level false discovery rate in differential expression and differential transcript usage von Van den Berge, Koen, Soneson, Charlotte, Robinson, Mark D, Clement, Lieven

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BANDITS: Bayesian differential splicing accounting for sample-to-sample variability and mapping uncertainty von Tiberi, Simone, Robinson, Mark D.

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A systematic performance evaluation of clustering methods for single-cell RNA-seq data von Duò, Angelo, Robinson, Mark D., Soneson, Charlotte

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Abscisic acid is a substrate of the ABC transporter encoded by the durable wheat disease resistance gene Lr34 von Krattinger, Simon G., Kang, Joohyun, Bräunlich, Stephanie, Boni, Rainer, Chauhan, Harsh, Selter, Liselotte L., Robinson, Mark D., Schmid, Marc W., Wiederhold, Elena, Hensel, Goetz, Kumlehn, Jochen, Sucher, Justine, Martinoia, Enrico, Keller, Beat

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Bias, robustness and scalability in single-cell differential expression analysis von Soneson, Charlotte, Robinson, Mark D

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Benchmarking comes of age von Robinson, Mark D, Vitek, Olga

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The shaky foundations of simulating single-cell RNA sequencing data von Crowell, Helena L, Morillo Leonardo, Sarah X, Soneson, Charlotte, Robinson, Mark D

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CrispRVariants charts the mutation spectrum of genome engineering experiments von Lindsay, Helen, Burger, Alexa, Biyong, Berthin, Felker, Anastasia, Hess, Christopher, Zaugg, Jonas, Chiavacci, Elena, Anders, Carolin, Jinek, Martin, Mosimann, Christian, Robinson, Mark D

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CyTOF workflow: differential discovery in high-throughput high-dimensional cytometry datasets [version 2; peer review: 2 approved] von Nowicka, Malgorzata, Krieg, Carsten, Weber, Lukas M, Hartmann, Felix J, Guglietta, Silvia, Becher, Burkhard, Levesque, Mitchell P, Robinson, Mark D

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Author Correction: The shaky foundations of simulating single-cell RNA sequencing data von Crowell, Helena L, Leonardo, Sarah X Morillo, Soneson, Charlotte, Robinson, Mark D

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