| RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays JC Marioni, CE Mason, SM Mane, M Stephens, Y Gilad Genome research 18 (9), 1509-1517, 2008 | 2709 | 2008 |
| Understanding mechanisms underlying human gene expression variation with RNA sequencing JK Pickrell, JC Marioni, AA Pai, JF Degner, BE Engelhardt, E Nkadori, ... Nature 464 (7289), 768, 2010 | 1206 | 2010 |
| Intratumor heterogeneity in human glioblastoma reflects cancer evolutionary dynamics A Sottoriva, I Spiteri, SGM Piccirillo, A Touloumis, VP Collins, JC Marioni, ... Proceedings of the National Academy of Sciences 110 (10), 4009-4014, 2013 | 1020 | 2013 |
| Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells F Buettner, KN Natarajan, FP Casale, V Proserpio, A Scialdone, FJ Theis, ... Nature biotechnology 33 (2), 155, 2015 | 644 | 2015 |
| A Bayesian deconvolution strategy for immunoprecipitation-based DNA methylome analysis TA Down, VK Rakyan, DJ Turner, P Flicek, H Li, E Kulesha, S Graef, ... Nature biotechnology 26 (7), 779, 2008 | 631 | 2008 |
| Computational and analytical challenges in single-cell transcriptomics O Stegle, SA Teichmann, JC Marioni Nature Reviews Genetics 16 (3), 133-145, 2015 | 588 | 2015 |
| Accounting for technical noise in single-cell RNA-seq experiments P Brennecke, S Anders, JK Kim, AA Kołodziejczyk, X Zhang, V Proserpio, ... Nature methods 10 (11), 1093, 2013 | 537 | 2013 |
| The technology and biology of single-cell RNA sequencing AA Kolodziejczyk, JK Kim, V Svensson, JC Marioni, SA Teichmann Molecular cell 58 (4), 610-620, 2015 | 445 | 2015 |
| Effect of read-mapping biases on detecting allele-specific expression from RNA-sequencing data JF Degner, JC Marioni, AA Pai, JK Pickrell, E Nkadori, Y Gilad, ... Bioinformatics 25 (24), 3207-3212, 2009 | 434 | 2009 |
| Science forum: the human cell atlas A Regev, SA Teichmann, ES Lander, I Amit, C Benoist, E Birney, ... Elife 6, e27041, 2017 | 389 | 2017 |
| An integrated resource for genome-wide identification and analysis of human tissue-specific differentially methylated regions (tDMRs) VK Rakyan, TA Down, NP Thorne, P Flicek, E Kulesha, S Gräf, ... Genome research 18 (9), 1518-1529, 2008 | 369 | 2008 |
| High-resolution aCGH and expression profiling identifies a novel genomic subtype of ER negative breast cancer SF Chin, AE Teschendorff, JC Marioni, Y Wang, NL Barbosa-Morais, ... Genome biology 8 (10), R215, 2007 | 309 | 2007 |
| Pooling across cells to normalize single-cell RNA sequencing data with many zero counts ATL Lun, K Bach, JC Marioni Genome biology 17 (1), 75, 2016 | 292 | 2016 |
| Tools for mapping high-throughput sequencing data NA Fonseca, J Rung, A Brazma, JC Marioni Bioinformatics 28 (24), 3169-3177, 2012 | 286 | 2012 |
| Expression Atlas update—a database of gene and transcript expression from microarray-and sequencing-based functional genomics experiments R Petryszak, T Burdett, B Fiorelli, NA Fonseca, M Gonzalez-Porta, ... Nucleic acids research 42 (D1), D926-D932, 2014 | 277 | 2014 |
| Sex-specific and lineage-specific alternative splicing in primates R Blekhman, JC Marioni, P Zumbo, M Stephens, Y Gilad Genome research 20 (2), 180-189, 2010 | 253 | 2010 |
| A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor ATL Lun, DJ McCarthy, JC Marioni F1000Research 5, 2016 | 252 | 2016 |
| Single cell RNA-sequencing of pluripotent states unlocks modular transcriptional variation AA Kolodziejczyk, JK Kim, JCH Tsang, T Ilicic, J Henriksson, ... Cell stem cell 17 (4), 471-485, 2015 | 245 | 2015 |
| Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors L Haghverdi, ATL Lun, MD Morgan, JC Marioni Nature biotechnology 36 (5), 421, 2018 | 227 | 2018 |
| High-throughput spatial mapping of single-cell RNA-seq data to tissue of origin K Achim, JB Pettit, LR Saraiva, D Gavriouchkina, T Larsson, D Arendt, ... Nature biotechnology 33 (5), 503, 2015 | 210 | 2015 |
