| A scaling normalization method for differential expression analysis of RNA-seq data MD Robinson, A Oshlack Genome biology 11 (3), 1-9, 2010 | 4464 | 2010 |
| Gene ontology analysis for RNA-seq: accounting for selection bias MD Young, MJ Wakefield, GK Smyth, A Oshlack Genome biology 11 (2), R14, 2010 | 3221 | 2010 |
| A comparison of background correction methods for two-colour microarrays ME Ritchie, J Silver, A Oshlack, M Holmes, D Diyagama, A Holloway, ... Bioinformatics 23 (20), 2700-2707, 2007 | 1011 | 2007 |
| From RNA-seq reads to differential expression results A Oshlack, MD Robinson, MD Young Genome biology 11 (12), 220, 2010 | 764 | 2010 |
| SWAN: Subset-quantile within array normalization for illumina infinium HumanMethylation450 BeadChips J Maksimovic, L Gordon, A Oshlack Genome biology 13 (6), R44, 2012 | 633 | 2012 |
| Transcript length bias in RNA-seq data confounds systems biology A Oshlack, MJ Wakefield Biology direct 4 (1), 14, 2009 | 543 | 2009 |
| Expression profiling in primates reveals a rapid evolution of human transcription factors Y Gilad, A Oshlack, GK Smyth, TP Speed, KP White Nature 440 (7081), 242-245, 2006 | 351 | 2006 |
| Corset: enabling differential gene expression analysis for de novo assembled transcriptomes NM Davidson, A Oshlack Genome biology 15 (7), 1-14, 2014 | 273 | 2014 |
| ChIP-seq analysis reveals distinct H3K27me3 profiles that correlate with transcriptional activity MD Young, TA Willson, MJ Wakefield, E Trounson, DJ Hilton, ME Blewitt, ... Nucleic acids research 39 (17), 7415-7427, 2011 | 262 | 2011 |
| Array-based gene discovery with three unrelated subjects shows SCARB2/LIMP-2 deficiency causes myoclonus epilepsy and glomerulosclerosis SF Berkovic, LM Dibbens, A Oshlack, JD Silver, M Katerelos, DF Vears, ... The American Journal of Human Genetics 82 (3), 673-684, 2008 | 252 | 2008 |
| missMethyl: an R package for analyzing data from Illumina’s HumanMethylation450 platform B Phipson, J Maksimovic, A Oshlack Bioinformatics 32 (2), 286-288, 2016 | 237 | 2016 |
| Splatter: simulation of single-cell RNA sequencing data L Zappia, B Phipson, A Oshlack Genome biology 18 (1), 1-15, 2017 | 233 | 2017 |
| A prospective evaluation of whole-exome sequencing as a first-tier molecular test in infants with suspected monogenic disorders Z Stark, TY Tan, B Chong, GR Brett, P Yap, M Walsh, A Yeung, H Peters, ... Genetics in Medicine 18 (11), 1090-1096, 2016 | 225 | 2016 |
| Optimizing the noise versus bias trade-off for Illumina whole genome expression BeadChips W Shi, A Oshlack, GK Smyth Nucleic acids research 38 (22), e204-e204, 2010 | 207 | 2010 |
| Natural selection on gene expression Y Gilad, A Oshlack, SA Rifkin TRENDS in Genetics 22 (8), 456-461, 2006 | 204 | 2006 |
| Diagnostic impact and cost-effectiveness of whole-exome sequencing for ambulant children with suspected monogenic conditions TY Tan, OJ Dillon, Z Stark, D Schofield, K Alam, R Shrestha, B Chong, ... JAMA pediatrics 171 (9), 855-862, 2017 | 162 | 2017 |
| Disorders of sex development: insights from targeted gene sequencing of a large international patient cohort S Eggers, S Sadedin, JA Van Den Bergen, G Robevska, T Ohnesorg, ... Genome biology 17 (1), 1-21, 2016 | 157 | 2016 |
| Gene regulation in primates evolves under tissue-specific selection pressures R Blekhman, A Oshlack, AE Chabot, GK Smyth, Y Gilad PLoS Genet 4 (11), e1000271, 2008 | 155 | 2008 |
| Bpipe: a tool for running and managing bioinformatics pipelines SP Sadedin, B Pope, A Oshlack Bioinformatics 28 (11), 1525-1526, 2012 | 143 | 2012 |
| Identification of recurrent FGFR3 fusion genes in lung cancer through kinome‐centred RNA sequencing IJ Majewski, L Mittempergher, NM Davidson, A Bosma, SM Willems, ... The Journal of pathology 230 (3), 270-276, 2013 | 123 | 2013 |
Gordon K SmythDivision Head, Bioinformatics, Walter and Eliza Hall Institute of Medical ResearchAdresse e-mail validée de wehi.edu.au
