Genomic Data Science with Galaxy
With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets. Genomic Data Science is the field that applies statistics and data science to the genome.This Specialization covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in genomic data science including how to use the command line, along with a variety of software implementation tools like Python, R, Biocon
Created by: James Taylor
Quality Score
Overall Score : 60 / 100
Course Description
Instructor Details
- 3.0 Rating
144 Reviews
James Taylor
James Taylor is the Ralph S. O'Connor Associate Professor of logy and Associate Professor of Computer Science at Johns Hopkins University. Until 2014 he was an Associate Professor in the departments of logy and Mathematics & Computer Science at Emory University. He is one of the original developers of the Galaxy platform for data analysis, and his group continues to work on extending the Galaxy platform. His group also works on understanding genomic and epigenomic regulation of gene transcription through integrated analysis of functional genomic data. James received a PhD in Computer Science from Penn State University, where he was involved in several vertebrate genome projects and the ENCODE project.
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