Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression
Cuomo ASE*, Seaton DD*, McCarthy DJ* et al. (2020). Nature Communications. 11, 810.
Cuomo ASE*, Seaton DD*, McCarthy DJ* et al. (2020). Nature Communications. 11, 810.
Jerber J*, Seaton DD*, Cuomo ASE* et al (2021). "Population-scale single-cell RNA-seq profiling across dopaminergic neuron differentiation." Nature Genetics. 53, 304-312.
Muus C et al. (2021). Nature Medicine. 27, 546–559.
Argelaguet R, Cuomo ASE, Stegle O and Marioni JC (2021). "Computational principles and challenges in single-cell data integration." Nature Biotechnology. 39, 1202-1215.
Cuomo ASE*, Alvari G*, Azodi CB* et al. (2021). "Optimizing expression quantitative trait locus mapping workflows for single-cell studies." Genome Biology. 22, 188
Cuomo ASE*, Heinen T* et al. (2022). "CellRegMap: A statistical framework for mapping context-specific regulatory variants using scRNA-seq." Molecular Systems Biology. 18:e10663
Cuomo ASE, Nathan A, Raychaudhuri S, MacArthur DG and Powell JE (2023). "Single-cell genomics meets human genetics." Nature Reviews Genetics.