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Bioconductor for Genomic Data Science

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: Kasper Daniel Hansen

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Overall Score : 68 / 100

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Course Description

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.

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Instructor Details

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Kasper D. Hansen is an Assistant Professor at the Johns Hopkins Bloomberg School of Public Health and the Johns Hopkins School of Medicine. He recieved his Ph.D. in statistics with a Designated Emphasis in Computational and Genomic logy from the University of California, Berkeley. He is working on developing new ways of analyzing high-throughput data in biology and has made important contributions to the analysis and interpretation of epigenetic data. Dr. Hansen is one of the longest currently active contributers to the conductor project and serves on its technical advisory board.

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Reviews

3.4

37 reviews in total

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By Pieter v d V on 28-Aug-19

Before you can run, you must learn to walk.Kasper's well paced tutorials will give you confidence using the tools you need for genomic study.

By Juan M on 13-Jun-19

So practical! I learned a lot about specific and useful cases. It is true that I have to learn a lot yet but with this background, I will get used to any code soon.

By Kevin M on 3-Apr-19

Extremely complicated, not for beginners!

By Ajay K P on 30-Mar-19

The content is relevant and presented well, though slightly out of date. It would be very helpful to update this course. Note that the discussion forums haven't been tended for years so they are not at all helpful and some code is deprecated without warning.

By Sabawoon S on 9-Mar-19

Great Introductory course for sequence analyses using Bioconductor. However, the quizzes badly require more explanation. An update to the course to introduce currently more relevant packages and analysis methods would add more value.

By John D M on 7-Nov-18

Lots of knowledge but not systematic. Hard to follow for R beginners and there should have been quiz in lectures (like the "Algorithm for DNA sequencing" course). A lot of knowledge used in the homework was not mentioned/addressed in the lectures.

By Chonlatit P on 26-Aug-18

The lessons are fairly easy to follow - although the transcript needs re-writing so that the correct words are identified to the speech. I spent a lot of time trying to decipher one or two key words.The quizzes seemed to test on concepts not yet taught.. perhaps familiar to other Bioinformaticians.. so they were quite tough and required a lot of time to finish.

By Max D on 7-Aug-18

Need to be simplified. Personally, I understood the lectures notes better than lectures videos.

By Diego C G on 21-May-18

It's very helpful in learning genomic data science. I think it's a little difficult in the beginning. The instructor have some accent, which made me even harder to get into it.

By Artem V on 13-May-18

Lectures are poorly understandable and the code examples are not explained in their meaning. Also some questions of the final quizes are difficult to understand. All the lectures and the quizes should have be constructed on a simpler use case

By unijoy on 11-May-18

Confusing, not straight forward, transcription is all wrong.

By Michael N on 2-May-18

Good course, although some previous experience with R is required and that was not clearly stated beforehand. Moreover it would be better to have a more introductory course to R.

Showing 12 of 37 reviews