Luke Zappia
Luke Zappia
Helmholtz Zentrum München/Technische Universität München
Verified email at helmholtz-muenchen.de - Homepage
Title
Cited by
Cited by
Year
Splatter: simulation of single-cell RNA sequencing data
L Zappia, B Phipson, A Oshlack
Genome biology 18 (1), 1-15, 2017
2542017
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
1112020
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
1102018
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
1072017
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
802019
Clustering trees: a visualization for evaluating clusterings at multiple resolutions
L Zappia, A Oshlack
Gigascience 7 (7), giy083, 2018
692018
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
562019
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
522019
Gene length and detection bias in single cell RNA sequencing protocols
B Phipson, L Zappia, A Oshlack
F1000Research 6, 2017
312017
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
252019
Benchmarking atlas-level data integration in single-cell genomics
MD Luecken, M Buttner, K Chaichoompu, A Danese, M Interlandi, ...
BioRxiv, 2020
192020
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
172019
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
122017
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
72019
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
12020
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
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