| Splatter: simulation of single-cell RNA sequencing data L Zappia, B Phipson, A Oshlack Genome biology 18 (1), 1-15, 2017 | 254 | 2017 |
| Opportunities and challenges in long-read sequencing data analysis SL Amarasinghe, S Su, X Dong, L Zappia, ME Ritchie, Q Gouil Genome biology 21 (1), 1-16, 2020 | 111 | 2020 |
| Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools database L Zappia, B Phipson, A Oshlack PLoS computational biology 14 (6), e1006245, 2018 | 110 | 2018 |
| Circulating tumour cells from patients with colorectal cancer have cancer stem cell hallmarks in ex vivo culture F Grillet, E Bayet, O Villeronce, L Zappia, EL Lagerqvist, S Lunke, ... Gut 66 (10), 1802-1810, 2017 | 107 | 2017 |
| Evaluation of variability in human kidney organoids B Phipson, XE Pei, AN Combes, TA Forbes, SE Howden, L Zappia, ... Nature methods 16 (1), 79-87, 2019 | 80 | 2019 |
| Clustering trees: a visualization for evaluating clusterings at multiple resolutions L Zappia, A Oshlack Gigascience 7 (7), giy083, 2018 | 69 | 2018 |
| Single-cell analysis reveals congruence between kidney organoids and human fetal kidney AN Combes, L Zappia, PX Er, A Oshlack, MH Little Genome medicine 11 (1), 1-15, 2019 | 56 | 2019 |
| Single cell analysis of the developing mouse kidney provides deeper insight into marker gene expression and ligand-receptor crosstalk AN Combes, B Phipson, KT Lawlor, A Dorison, R Patrick, L Zappia, ... Development 146 (12), 2019 | 52 | 2019 |
| Gene length and detection bias in single cell RNA sequencing protocols B Phipson, L Zappia, A Oshlack F1000Research 6, 2017 | 31 | 2017 |
| Kidney micro-organoids in suspension culture as a scalable source of human pluripotent stem cell-derived kidney cells SV Kumar, XE Pei, KT Lawlor, A Motazedian, M Scurr, I Ghobrial, ... Development 146 (5), 2019 | 25 | 2019 |
| Benchmarking atlas-level data integration in single-cell genomics MD Luecken, M Buttner, K Chaichoompu, A Danese, M Interlandi, ... BioRxiv, 2020 | 19 | 2020 |
| Nephron progenitor commitment is a stochastic process influenced by cell migration KT Lawlor, L Zappia, J Lefevre, JS Park, NA Hamilton, A Oshlack, ... Elife 8, e41156, 2019 | 17 | 2019 |
| High throughput single cell RNA-seq of developing mouse kidney and human kidney organoids reveals a roadmap for recreating the kidney AN Combes, B Phipson, L Zappia, KT Lawlor, PX Er, A Oshlack, MH Little BioRXIV, 235499, 2017 | 12 | 2017 |
| Unique transcriptional architecture in airway epithelial cells and macrophages shapes distinct responses following influenza virus infection ex vivo JZ Ma, WC Ng, L Zappia, LJ Gearing, M Olshansky, K Pham, K Cheong, ... Journal of virology 93 (6), 2019 | 7 | 2019 |
| HiTIME: An efficient model-selection approach for the detection of unknown drug metabolites in LC-MS data MG Leeming, AP Isaac, L Zappia, AJ Richard, WA Donald, BJ Pope SoftwareX 12, 100559, 2020 | 1 | 2020 |
| Sfaira accelerates data and model reuse in single cell genomics DS Fischer, L Dony, M König, A Moeed, L Zappia, S Tritschler, ... bioRxiv, 2020 | | 2020 |
| Tools and techniques for single-cell RNA sequencing data L Zappia | | 2019 |
| Using clustering trees to visualise single-cell RNA-sequencing data L Zappia, A Oshlack F1000Research 7, 2018 | | 2018 |
| Simplifying simulation of single-cell RNA sequencing L Zappia, B Phipson, A Oshlack F1000Research 5, 2016 | | 2016 |
| Considerations for integrating publicly available RNA-seq data into analysis L Zappia, F Grillet, J Pannequin, F Hollande, A Hsu F1000Research 6, 2015 | | 2015 |
Alicia OshlackPeter MacCallum Cancer CentreVerified email at petermac.org
