Skip to main content

Paul Mitaari Magwene

Professor of Biology
Biology
Box 90338, Durham, NC 27708
124 Science Drive, Room 4103 FFSC, Duke Box 90338, Durham, NC 27708

Featured Works


Pleiotropy and epistasis within and between signaling pathways defines the genetic architecture of fungal virulence.

Journal article PLoS Genet · January 2021 Featured Publication Cryptococcal disease is estimated to affect nearly a quarter of a million people annually. Environmental isolates of Cryptococcus deneoformans, which make up 15 to 30% of clinical infections in temperate climates such as Europe, vary in their pathogenicity ... Full text Link to item Cite

The 100-genomes strains, an S. cerevisiae resource that illuminates its natural phenotypic and genotypic variation and emergence as an opportunistic pathogen.

Journal article Genome Res · May 2015 Featured Publication Saccharomyces cerevisiae, a well-established model for species as diverse as humans and pathogenic fungi, is more recently a model for population and quantitative genetics. S. cerevisiae is found in multiple environments-one of which is the human body-as a ... Full text Link to item Cite

The genetic architecture of biofilm formation in a clinical isolate of Saccharomyces cerevisiae.

Journal article Genetics · February 2013 Featured Publication Biofilms are microbial communities that form on surfaces. They are the primary form of microbial growth in nature and can have detrimental impacts on human health. Some strains of the budding yeast Saccharomyces cerevisiae form colony biofilms, and there i ... Full text Link to item Cite

The statistics of bulk segregant analysis using next generation sequencing.

Journal article PLoS Comput Biol · November 2011 Featured Publication We describe a statistical framework for QTL mapping using bulk segregant analysis (BSA) based on high throughput, short-read sequencing. Our proposed approach is based on a smoothed version of the standard G statistic, and takes into account variation in a ... Full text Link to item Cite

Outcrossing, mitotic recombination, and life-history trade-offs shape genome evolution in Saccharomyces cerevisiae.

Journal article Proc Natl Acad Sci U S A · February 1, 2011 Featured Publication We carried out a population genomic survey of Saccharomyces cerevisiae diploid isolates and find that many budding yeast strains have high levels of genomic heterozygosity, much of which is likely due to outcrossing. We demonstrate that variation in hetero ... Full text Link to item Cite

Environmental and genetic determinants of colony morphology in yeast.

Journal article PLoS Genet · January 22, 2010 Featured Publication Nutrient stresses trigger a variety of developmental switches in the budding yeast Saccharomyces cerevisiae. One of the least understood of such responses is the development of complex colony morphology, characterized by intricate, organized, and strain-sp ... Full text Open Access Link to item Cite

Estimating genomic coexpression networks using first-order conditional independence.

Journal article Genome Biol · 2004 Featured Publication We describe a computationally efficient statistical framework for estimating networks of coexpressed genes. This framework exploits first-order conditional independence relationships among gene-expression measurements to estimate patterns of association. W ... Full text Link to item Cite

Reconstructing the temporal ordering of biological samples using microarray data.

Journal article Bioinformatics · May 1, 2003 Featured Publication MOTIVATION: Accurate time series for biological processes are difficult to estimate due to problems of synchronization, temporal sampling and rate heterogeneity. Methods are needed that can utilize multi-dimensional data, such as those resulting from DNA m ... Full text Link to item Cite

New tools for studying integration and modularity.

Journal article Evolution · September 2001 Featured Publication The study of phenotypic integration concerns the modular nature of organismal phenotypes. The concept provides a rationale for why certain subsets of phenotypic traits show particularly high levels of association over development and/or evolution. The tech ... Full text Link to item Cite