Resources
Explore data resources and tools maintained or developed by the Dong Lab, along with recommended resources for learning bioinformatics.
Data
Explore gene expression, noncoding transcripts, and regulatory variation in human dopamine neurons.
Explore solute carrier genes across expression, conservation, genomic context, and protein structure.
Explore Parkinson’s brain cell types, spatial organization, and multi-omics data across disease progression.
Tools
Calculate sample size and statistical power for bulk tissue and single-cell eQTL studies.
Explore conserved synteny and long-range regulatory relationships across vertebrate genomes.
Process extracellular vesicle total RNA-seq with quality control, RNA profiling, and reproducible reports.
Build interactive web portals to visualize single-cell, spatial, and other multi-omics datasets.
Generate interactive gene-family atlases through automated data retrieval and analysis.
Bioinformatics Education
These external resources are highly recommended for learning data visualization, statistics, and genomics.
Data visualization Points of View
The Nature Methods column series on data visualization, published from 2010 to 2016 and renewed in 2026.
Statistics Points of Significance
The Nature Methods column series on statistics, beginning in 2013.
Genomics PH525x Biomedical Data Science
Learning materials for the PH525x Biomedical Data Science series.