Introduction to Genomic Technologies

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

( 253 Reviews )

Created by: Steven Salzberg

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Overall Score : 88 / 100

Course Description

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. This is the first course in the Genomic Data Science Specialization.

Time: 8h

Instructor Details

Steven Salzberg

4.4 Rating
253 Reviews

I am a Professor of medical Engineering, Computer Science, and statistics 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 logy. 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. I write a science blog at Forbes.com about topics such as pseudoscience, the problems of alternative medicine, the anti-vaccination movement, gene patents, and the influence of sports on higher education. See my lab home page for my scientific publications, my opinion pieces, and other news.

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By Quang N L on 11-Dec-16

a great way to start.

By RUBEN A on 13-Feb-18

This was a great overview of the computing, statistics, and biology required to understand bioinformatics. The only negative was, that I found the final exam to be somewhat unrelated to the course.I am also hoping that there will be more references later on if we want or need to go deeper into these three areas, especially in the area of molecular biology.

By Kartik G on 26-Aug-17

Excellent short introduction to Genomic Technologies and a good starter course for the specialization. It provides a very good overview of what is to be expected in the other courses while at the same time establishing a good foundation for what is to come.

By Sarah G on 17-Jul-17

Better organization on the biological component is needed to be clearer in the definitions

By Franco B on 29-Apr-16

Though the content is introductory and general concepts, it could have been done in a slower pace and a little bit more detail.

By Robin J on 11-Apr-16

nice! Stats review particularly

By Jonah P on 20-Mar-16

This course is an amazing. What students have to do to excel in this course is, they have to study from authentic additional material.

By Veerraju C on 19-Oct-17

It is very nice course to learn new things.

By Marcus V C A on 27-Nov-16

The entire course took me about 8 hours to complete. The videos are on average around 10 minutes long. The first two weeks of the course were very introductory and had they stayed that way I would have been disappointed (however they were focused on my specialization). Week 3 and 4 made it worth it for me and were very helpful (computing technology and statistics). I thought the course project could have been better. I didn't feel it was a strong overview of what I learned about the course. Either way, I'm glad I went through the entire thing.

By Madison S on 25-Apr-18

Time of each video is limited, so lots of content are just mentioned without going deeper. Just a introductory course.

By Nitin S R on 6-May-17

Good introductory course, highly interdisciplinary. You will need some basic knowledge in molecular biology and statistics in order to better understand video lectures

By Nitin S R on 9-Dec-16