Davis J. McCarthy
Researcher Next ID · RN-025640
Researcher · Biochemistry, Genetics and Molecular Biology
Melbourne, Australia
- Works count
- 168
- Citation count
- 66,921
- H-index
- 38
- i10-index
- 61
Research interests
Publications
Eleven grand challenges in single-cell data science
Genome biology · 2020 · https://doi.org/10.1186/s13059-020-1926-6
Benchmarking single-cell RNA-sequencing protocols for cell atlas projects
Nature Biotechnology · 2020 · https://doi.org/10.1038/s41587-020-0469-4
Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression
Nature Communications · 2020 · https://doi.org/10.1038/s41467-020-14457-z
Tutorial: guidelines for the computational analysis of single-cell RNA sequencing data
Nature Protocols · 2020 · 10.1038/s41596-020-00409-w
Vireo: Bayesian demultiplexing of pooled single-cell RNA-seq data without genotype reference
Genome biology · 2019 · 10.1186/s13059-019-1865-2
Common genetic variation drives molecular heterogeneity in human iPSCs
Nature · 2017 · 10.1038/nature22403
The genetic architecture of type 2 diabetes
Nature · 2016 · https://doi.org/10.1038/nature18642
Classification of low quality cells from single-cell RNA-seq data
Genome biology · 2016 · 10.1186/s13059-016-0888-1
A step-by-step workflow for low-level analysis of single-cell RNA-seq data
F1000Research · 2016 · 10.12688/f1000research.9501.1
A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor
F1000Research · 2016 · https://doi.org/10.12688/f1000research.9501.2
Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R
Bioinformatics · 2016 · https://doi.org/10.1093/bioinformatics/btw777
Factors influencing success of clinical genome sequencing across a broad spectrum of disorders
Nature Genetics · 2015 · https://doi.org/10.1038/ng.3304
Count-based differential expression analysis of RNA sequencing data using R and Bioconductor
Nature Protocols · 2013 · 10.1038/nprot.2013.099
Detecting Differential Expression in RNA-sequence Data Using Quasi-likelihood with Shrunken Dispersion Estimates
Statistical Applications in Genetics and Molecular Biology · 2012 · 10.1515/1544-6115.1826
Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation
Nucleic Acids Research · 2012 · https://doi.org/10.1093/nar/gks042
Testing significance relative to a fold-change threshold is a TREAT
Bioinformatics · 2009 · 10.1093/bioinformatics/btp053
edgeR : a Bioconductor package for differential expression analysis of digital gene expression data
Bioinformatics · 2009 · https://doi.org/10.1093/bioinformatics/btp616
Current projects
No projects listed.