Genomic Data Science
Johns Hopkins University via Coursera Specialization
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Overview
Class Central Tips
Syllabus
- Offered by Johns Hopkins University. This course introduces you to the basic biology of modern genomics and the experimental tools that we ... Enroll for free.
Course 2: Genomic Data Science with Galaxy
- Offered by Johns Hopkins University. Learn to use the tools that are available from the Galaxy Project. This is the second course in the ... Enroll for free.
Course 3: Python for Genomic Data Science
- Offered by Johns Hopkins University. This class provides an introduction to the Python programming language and the iPython notebook. This ... Enroll for free.
Course 4: Algorithms for DNA Sequencing
- Offered by Johns Hopkins University. We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing ... Enroll for free.
Course 5: Command Line Tools for Genomic Data Science
- Offered by Johns Hopkins University. Introduces to the commands that you need to manage and analyze directories, files, and large sets of ... Enroll for free.
Course 6: Bioconductor for Genomic Data Science
- Offered by Johns Hopkins University. Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth ... Enroll for free.
Course 7: Statistics for Genomic Data Science
- Offered by Johns Hopkins University. An introduction to the statistics behind the most popular genomic data science projects. This is the ... Enroll for free.
Course 8: Genomic Data Science Capstone
- Offered by Johns Hopkins University. In this culminating project, you will deploy the tools and techniques that you've mastered over the ... Enroll for free.
Courses
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17 reviews
4 weeks long, 12 hours worth of material
View detailsWe 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. -
11 reviews
4 weeks long, 6 hours worth of material
View detailsThis 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.
This is the first course in the Genomic Data Science Specialization. -
12 reviews
4 weeks long, 6 hours worth of material
View detailsLearn to use the tools that are available from the Galaxy Project. This is the second course in the Genomic Big Data Science Specialization. -
9 reviews
4 weeks long, 11 hours worth of material
View detailsIntroduces 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. -
4 reviews
4 weeks long, 8 hours worth of material
View detailsLearn 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. -
13 reviews
4 weeks long, 8 hours worth of material
View detailsThis 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. -
3 reviews
4 weeks long, 9 hours worth of material
View detailsAn introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University. -
0 reviews
10 weeks long, 11 hours worth of material
View detailsIn this culminating project, you will deploy the tools and techniques that you've mastered over the course of the specialization. You'll work with a real data set to perform analyses and prepare a report of your findings.
Taught by
Ben Langmead, PhD, Jacob Pritt, James Taylor, PhD, Jeff Leek, PhD, Kasper Daniel Hansen, PhD, Liliana Florea, PhD, Mihaela Pertea, PhD and Steven Salzberg, PhD
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