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Command Line Tools for Genomic Data Science, Johns Hopkins University

226 calificaciones
67 revisiones

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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....

Principales revisiones

por JJ

Jun 23, 2018

Thank you very much Dr./Professor, Liliana Florea. I've learned a lot. It's a very good opportunity to improve my knowledge. This means a lot to me.

por GV

Mar 14, 2016

Very informative course. Because I am new to this, it was at times confusing. But overall, great teaching and great experience. Thank you.

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65 revisiones

por Sofia Maria Karadimitriou

Oct 18, 2018

Some of the tools are not up to date (tophat) and some things were unexplained. The focus was only typing the commands but not understanding why exactly we have to do specific things.

por Tom Sorlie

Oct 14, 2018

The theoretical lectures are ok, but the practical ones are a bit slow. Could have been more scirpt based from the beginning. The Exams are quite different from what is explained in the lectures I think. Especially in week4.

por Xing Yin

Oct 02, 2018

The course is good but not "self-contained"...

por Paul Saunders

Aug 29, 2018

The instructor clearly knew her material. She tried to present it systematically with enough information to give students the ability to perform the programming tasks. There were, however, a number of areas where there is substantial room for improvement.

1. The slides were underutilized. Listing a command name is not enough information to use it. For the most part this was adequately done in the lectures, but having details on critical implementation formats in slides would have been a helpful visual.

2. The class was all about using command line instructions. When the command line was shown on screen it was hard to read and frequently covered over by the video controls. Moving it up and making it large enough to read would be very helpful.

3. Although some details of the output file structure were presented a lot was left for the student to dig out of other sources. If you don't know what to look for this makes things very difficult.

4. The class is about using genomic analysis programs but the instructor did not provide information about where to download the appropriate files from.

por Andrew John Davis

Aug 27, 2018

Very informative course. Only downside is that the example datasets/scripts are not provided (which I tend to find to be useful for learning informatics).

por Michael Gabay

Jul 22, 2018

There could be more resources provided and the lecture at the beginning of module 4 should be placed at the beginning of the course. Because the overview of molecular biology serves as background for the entire course.

por yingchuan qi

Jul 22, 2018

It is not that the course is not useful; there is a LOT of room for the course to improve itself. One major issue is the lecture lacks sufficient descriptions why we do particular things, and the instructor's non-native English speaking and monotone worsen the situation such that I was often lost about the purpose of certain calculation. The second issue is that the course needs additional materials that aid students during the learning. The lecture video itself is not effective to provide sufficient guidance. I have done most of my learning by googling. In summary, the course was definitely poorly designed.

por Sael Musallam Alatawi

Jul 14, 2018

Great resource to learn unix codes and prepare your self for analysing genomic data

por Ian Poole

Jul 12, 2018

I would have liked a better overview of the analysis process, less on details of command line parameters. there were several errors in the slides. The assignments were tedious and not very instructive.

por Igor Lalin

Jul 11, 2018

Very interesting material, but presented in a very dry manner and without going into too much detail. You do have to have some background in Linux and Biochemistry of DNA and RNA, otherwise it could be very hard to understand. Also, the last test deviates somewhat from what is presented in Week 4 lecture. Be very careful and read the questions with alertness before answering them