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
Created by: Steven Salzberg
Course Description
Instructor Details
- 4.4 Rating
253 Reviews
Steven Salzberg
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.
Reviews
By sudarshan on 2-Nov-19
Thank you so much for such a wonderful course. I really got an opportunity to learn genomic technologies from scratch.
By Gregory D H on 6-Oct-19
This course provides a gentle introduction to the concepts and terminology associated with genomics. As someone who never took a biology course in high school or university, this course is perfect.
By nutthan n on 24-Sep-19
I got many new idea with this course. The introduction to the statistic is amazing.
By Monika C on 21-Sep-19
Introductory course for the subsequent genomic data science courses. The lecturers are smart and their teaching approach is very encouraging.
By Saurabh M on 8-Sep-19
This course is very well suitable for beginners. I am eagerly waiting to start the next course of the specialization for deeper understanding. Although, this course was very informative.
By Hans W on 8-Sep-19
Liked the introduction, gives a nice overview, well understandable also for the non-biologist.
By Cameron P on 25-Aug-19
Would've liked more technical information. more basic than I was expecting
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Quality Score
Overall Score : 88 / 100





