I am a cancer researcher in Allan Balmain's lab at UCSF. My work centers on identifying genetic networks associated with susceptibility to skin, lung, or breast cancer. I'm particularly interested in how these networks are altered after a tumor develops. My training is in Computer Science and Biomedical Informatics; I also have worked as a professional software developer.
I am also a PhD candidate in Anne-Lise Børresen-Dale's group in the Deparment of Genetics, Institution for Cancer Research, Norwegian Radium Hospital. I split my time between Oslo and San Francisco, with most of my time spent in the US. I expect to defend my thesis work in 2014.
I have taken a systems genetics approach that combines phenotypic measurements, genotype data from SNP assays, and gene microarrays to identify Quantitative Trait Loci (QTL) associated with physical phenotypes such as blood or inflammation traits as well as gene expression traits. The goal of these investigations is to identify loci that are associated with networks of genes that are functionally interrelated either because they produce proteins that are part of a common structure or because they are steps in a gene pathway. Combining these genetic expression QTL networks with phenotype QTL can identify plausible candidate genes that are under common genetic control with matched phenotypes (e.g., hemoglobin pathway genes that share common genetic control with the Red Blood Cell count phenotype). Our recent papers in Nature and Genome Biology are examples of this approach. For more details, see our Perspective in Nature Reviews: Genetics.
Although I try to spend as much time working on biology as I can, I write a lot of software in R, Python, and C++. For statistical analysis, I have found Karl Broman's R/QTL software and the NetworkX library to be particularly useful. For software engineering with C++ I make heavy use of the Boost libraries and wxWidgets for cross-platform software development.
Peer-reviewed publications: first author
Other peer-reviewed publications
2012 San Antonio Breast Cancer Symposium poster; presents work that became Quigley et al. Mol. Onc. 2013
An introduction to Quantitative Biology and R. Very high-level overview for first-year PhD students, introducing R.
I am in the process of uploading code required which will reproduce all of the results for papers where I made important statistical contributions.
Quigley et al. Nature 2009
You can download the Cytoscape CYS file used to create Figure One of Quigley Nature 2009: Q_et_al_figure_one.cys. You will need an up-to-date version of the Java runtime to load the file; I recommend the latest version of Cytoscape as well.
Quigley et al. Genome Biology 2011DATA
The raw expression data for this paper (Affymetrix CEL files) and array-CGH data are available in GEO in SuperSeries GSE21264. Note that this SuperSeries includes the data from the Nature paper.
Genotypes used for this analysis can be downloaded here.
aCGH data used for this analysis can be downloaded here.
eQTL results for Tails, Papillomas, and Carcinomas can be downloaded here. eQTL results were calculated by linear regression using code that can be downloaded from my GitHub repository. Please see this README file for a general overview of the analysis.
To et al. Molecular Cancer Research 2011DATA
The array-CGH data used in this paper can be downloaded from GEO at GSE29230. The data as used in the reproducible analysis can be downloaded directly as a zip archive.
Quigley et al. Molecular Oncology 2013Code and data to reproduce. Note that I cannot post the genotype data used for this study online; please contact the corresponding author (Vessela Kristensen) to inquire about access to these genotypes.
Collaborations (past and present)
Dr. William Weiss, MD, PhD, Genetic models of neuroblastoma
I received a Masters degree awarded with honors from the Department of Biomedical Informatics at Columbia University in 2006. My research topic at Columbia was building models of transcriptional regulation using large-margin machine learning tools. I was a research assistant to Dr. Christina Leslie (now at MSK) in the Center for Computational Learning Systems at Columbia. We applied boosting to microarray data and sequence data from yeast and Drosophila to build models of conditional gene regulation. Before he departed Columbia for Vancouver, I did a rotation with professor Paul Pavlidis in the Gene Expression Informatics Group in the Columbia Genome Center. Our work involved designing and building a system to integrate many genomic data sources, including public databases and experimental Microarray data.
My professional experience before 2004 was in building high-volume web-based financial data and publishing systems. I have have been a software developer at Marketwatch.com in Minneapolis and at Orrick, Herrington & Sutcliffe in San Francisco. I received my bachelor's degree magna cum laude in Computer Science from Carleton College in 1998.
My extra-curricular interests include cooking Thai food, walking in San Francisco's neighborhoods, and raising my daughters Charlotte and Katherine. My wife Sarah is a novelist; her first novel for young adults is called TMI; you can (and should) get it at your local bookstore or online.