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 environment.