Dr Martin Morgan
Fred Hutchinson Cancer Research Center
Martin Morgan trained as an evolutionary geneticist interested in plant mating system evolution. He has been engaged in the R / Bioconductor community at the Fred Hutchinson Cancer Research Center in Seattle, WA, USA since 2005, and has lead the Bioconductor project for the analysis and comprehension of high-throughput genomic data since 2009.
From Algorithms to Action: R / Bioconductor for Analysis and Comprehension of High-Throughput Sequence Data
Algorithms form a bridge between mathematical expression and
computational evaluation. Statistical algorithms and insights are
particularly relevant in high-throughput analysis: the large volume of
data masks small sample size; technical artifacts abound; and nuanced
questions require innovative rather than cookie-cutter approaches.
The R / Bioconductor project represents an effective way to bring
useful computation on high-throughput data to a broad scientific
research community. These points are explored through Bioconductor
packages and work flows, and by articulation of Bioconductor
principles associated with reproducible research conducted in an open