Steven Salzberg

 

 


 

I am a Professor of Biomedical Engineering, Computer Science, and Biostatistics and a member of the McKusick-Nathans Institute of Genetic Medicine at Johns Hopkins University, where I’m also Director of the Center for Computational Biology. My group’s research focuses on the development of new computational methods for analysis of DNA from the latest sequencing technologies. Over the years we have developed and applied software to many problems in gene finding, genome assembly, comparative genomics, evolutionary genomics, and sequencing technology itself.

Our current work emphasizes analysis of DNA and RNA sequenced with next-generation technology. My blogs and other writing cover topics on the impact of science on society including the effects of pseudoscience, the problems of alternative medicine, the anti-vaccination movement, gene patents, and the influence of sports on higher education. See the links on my lab home page for my scientific publications, my opinion pieces, and other news.

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Nov 21st 2016

This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We'll introduce the Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and epigenetic patterns. You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed.

Average: 4 (3 votes)
Nov 21st 2016

This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University.

Average: 2.9 (7 votes)