Genomic Data Science
Genomic Data Science
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3-7 hours a week
This specialization will teach you to understand, analyze, and interpret data from next-generation sequencing experiments. You will learn common tools of genomic data science, including Python, R, Bioconductor, and Galaxy. These courses can serve as a stand-alone introduction to genomic data science or can compliment to a primary degree or postdoc in biology, molecular biology, or genetics. The Specialization concludes with a Capstone project that allows you to apply the skills you’ve learned throughout the courses.
Introduction to Genomic Technologies
The basic biology of modern genomics and the experimental tools used for measurement. This is the first course in the Genomic Big Data Science Specialization.
Genomic Data Science with Galaxy
Learn to use the tools that are available from the Galaxy Project. This is the second course in the Genomic Big Data Science Specialization.
Python for Genomic Data Science
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.
Command Line Tools for Genomic Data Science
Introduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data. This is the fourth course in the Genomic Big Data Science Specialization from Johns Hopkins University.
Algorithms for DNA Sequencing
We will learn computational methods — algorithms and data structures — for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequencing is used. We will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing datasets.
Bioconductor for Genomic Data Science
Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University.
Source: Genomic Data Science
Via: Google Alert for Data Science