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  • 👋 Hi, I’m @mauriziopaul (Paul L. Maurizio), Bioinformatics Scientist at the NIH/VRC, and formerly a postdoc at the University of Chicago. More at https://mauriziopaul.github.io
  • 👀 I’m interested in quantitative genetics and genomics.
  • 🌱 I’m currently learning approaches for better modeling single-cell data, cell type-specific and shared genomic effects, and colocalization of eQTL and GWAS signals.
  • 💞️ I’m looking to collaborate on building better tools, packages, and analysis pipelines for emerging (multi)omic data sets.
  • 📫 How to reach me: message me at [email protected].

Paul L. Maurizio's Projects

demuxlet icon demuxlet

Genetic multiplexing of barcoded single cell RNA-seq

didact-1 icon didact-1

Diallel-Informed Decision theoretic Approach for Crosses Tool

esatac icon esatac

Bioconductor package: An Easy-to-use Systematic pipeline for ATACseq data analysis

intro-to-r icon intro-to-r

Website for teaching R at the How to Learn to Code summer miniseries at UNC-Chapel Hill

litterdiallel icon litterdiallel

litterDiallel: an R package for reproducing analysis from the litter diallel manuscript.

muscat icon muscat

Multi-sample multi-group scRNA-seq analysis tools

plmcctools icon plmcctools

PLMcctools: A package containing some simple tools for handling Collaborative Cross data sets, and other miscellanea.

seurat icon seurat

R toolkit for single cell genomics

singler icon singler

SingleR: Single-cell RNA-seq cell types Recognition

snakemake icon snakemake

This is the development home of the workflow management system Snakemake. For general information, see

status_genome_2016 icon status_genome_2016

data and code for "Social status alters immune regulation and response to infection"

tiledb-soma icon tiledb-soma

Python and R SOMA APIs using TileDB’s cloud-native format. Ideal for single-cell data at any scale.

zeppelin icon zeppelin

Awesome conference website in 5 minutes.

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