User profiles for L. Zappia
Luke ZappiaHelmholtz Zentrum München/Technische Universität München Verified email at helmholtz-muenchen.de Cited by 4752 |
[HTML][HTML] Opportunities and challenges in long-read sequencing data analysis
Long-read technologies are overcoming early limitations in accuracy and throughput, broadening
their application domains in genomics. Dedicated analysis tools that take into account …
their application domains in genomics. Dedicated analysis tools that take into account …
[HTML][HTML] Best practices for single-cell analysis across modalities
Recent advances in single-cell technologies have enabled high-throughput molecular
profiling of cells across modalities and locations. Single-cell transcriptomics data can now be …
profiling of cells across modalities and locations. Single-cell transcriptomics data can now be …
[HTML][HTML] Over 1000 tools reveal trends in the single-cell RNA-seq analysis landscape
Recent years have seen a revolution in single-cell RNA-sequencing (scRNA-seq) technologies,
datasets, and analysis methods. Since 2016, the scRNA-tools database has cataloged …
datasets, and analysis methods. Since 2016, the scRNA-tools database has cataloged …
[HTML][HTML] An integrated cell atlas of the lung in health and disease
Single-cell technologies have transformed our understanding of human tissues. Yet, studies
typically capture only a limited number of donors and disagree on cell type definitions. …
typically capture only a limited number of donors and disagree on cell type definitions. …
[HTML][HTML] Benchmarking atlas-level data integration in single-cell genomics
Single-cell atlases often include samples that span locations, laboratories and conditions,
leading to complex, nested batch effects in data. Thus, joint analysis of atlas datasets requires …
leading to complex, nested batch effects in data. Thus, joint analysis of atlas datasets requires …
[HTML][HTML] Splatter: simulation of single-cell RNA sequencing data
… \)) and use the simulated library sizes (\( {L}_j \)) to proportionally adjust the gene means
for each cell. This allows us to alter the number of counts per cell independently of the …
for each cell. This allows us to alter the number of counts per cell independently of the …
Clustering trees: a visualization for evaluating clusterings at multiple resolutions
Clustering techniques are widely used in the analysis of large datasets to group together
samples with similar properties. For example, clustering is often used in the field of single-cell …
samples with similar properties. For example, clustering is often used in the field of single-cell …
[HTML][HTML] Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools database
As single-cell RNA-sequencing (scRNA-seq) datasets have become more widespread the
number of tools designed to analyse these data has dramatically increased. Navigating the …
number of tools designed to analyse these data has dramatically increased. Navigating the …
Evaluation of variability in human kidney organoids
The utility of human pluripotent stem cell–derived kidney organoids relies implicitly on the
robustness and transferability of the protocol. Here we analyze the sources of transcriptional …
robustness and transferability of the protocol. Here we analyze the sources of transcriptional …
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… - Gut, 2017 - gut.bmj.com
Objective Although counting of circulating tumour cells (CTC) has attracted a broad interest
as potential markers of tumour progression and treatment response, the lack of functional …
as potential markers of tumour progression and treatment response, the lack of functional …