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Opiniones y comentarios de aprendices correspondientes a Command Line Tools for Genomic Data Science por parte de Universidad Johns Hopkins

4.2
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327 calificaciones
90 revisiones

Acerca del Curso

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

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.

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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1 - 25 de 88 revisiones para Command Line Tools for Genomic Data Science

por Jaydeep S

Apr 30, 2018

This is a very poorly designed and executed course. The teacher should have used a bit more practical examples and the video lengths is too long. I have to leave it halfway, because I don't see any point of wasting my time with it. Its sad that this is part of such a great specialization module. I hope the user comments allow the course designers to implement some changes to this course.

por Paul S

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 Ash H

Nov 26, 2019

Very good course. Easy to follow and loads of useful skills and info.

It starts with some guidance on general Unix navigation and then teaches the format and tools for a range of different types of genomic data. Finally it teaches you to use tools for alignment and transcriptomics. It packs a lot in but plenty of demos and there's a chat board where you can ask questions.

I already had some experience with command line tools before doing this course but found I learned loads. If you don't have any experience with Unix or with bioinformatics tools I think you will find the course doable and you will learn a lot of very useful skills but it will take you a bit longer. I don't think you need to take the earlier courses to find this one useful. (I didn't.)

For me it was also useful to improve the organisation of my work when I'm doing data handling.

The online setup is good - it comes with pre set target dates for when to complete each module but you can reset them / push them back if needed. The videos have written transcripts underneath, these are mostly good but are made automatically so they occasionally mis hear more technical vocabulary. You can take the tests as many times as you want but only 3x every 8 hours.

por Minli X

Jan 26, 2016

The course content is very solid. It focuses heavily on the tools and technique, and there lacks the concepts and biology behind those tools. But I would guess there is some prior courses in this specialization explaining the concepts, though I didn't take them.

The tools explained in this course is the most popular ones for handling up-stream analysis. They are the must-have ones for current bioinformatician jobs.

The instructor, Dr Liliana Florea, did a great job, walking you through those tools step-by-step. I also found the exercises (exams) highly useful.

The course title is not the most accurate one. The title is not very catchy either. This course is more about the tools for analyzing next generation sequence data.

por Tran N

Feb 25, 2019

It was a quite challenging experience, especially the final module. The problem you have to deal with is not "how to properly use the programs/tools", instead, we have to learn "how to play with the parameters" so that we can have the right answers for the quiz/exam questions. There were a lot of failures throughout this course, I had to watch the lectures again and again, deeply dive into the discussions in course forum, search google and seqsanswer/biostar forum, etc.... I became hating the lecturer and the mentors for theirs not so well organized lectures and answers ... But afterall, I've learned a lot. Thank you!

por Shannon W

Dec 12, 2017

Great course! She actually teaches you what to do (the programming basics behind complicated genomic analysis) and why you are doing it. This was the most well taught and well designed course in this series so far, and helped me better understand earlier courses. Very glad that I jumped ahead in the series to take this one before the others.

por Ramya G

Sep 08, 2017

Learned a lot in this course. Very useful if you want to do NGS analysis. Week2 and Week4 were too vast. Flowcharts would be useful to know in which step we are in the analysis. VM didn't work for me. I installed all the tools on my machine to finish the assignments.

por Karim A D

Sep 07, 2016

I recommend this course to be provided early along the Genomic Data Science Specialization, probably before "Genomic Data Science with Galaxy" as it would help make the later one much more easier to understand.

por Gabriel d S G

May 11, 2017

Great course. The last exam is a little bit tricky, specially when some commands are large and confusing. But with the help of forums, you can still find the right answers.

por Jason

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 Gouri V

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.

por Anna

Mar 11, 2016

Very interesting and detailed course.

Most I liked the tasks: they are very detaild. Thanks to them I've leraned a lot of new things.

por Wenbo L

Jul 07, 2016

This is perhaps one of the most clearly taught courses I have had on Coursera. Thank you for putting in time to teach us!

por Andrew M

Aug 22, 2019

Interesting course. I have used some of this tools for some time but I find their's still something new to learn

por George C

Apr 09, 2018

A really hard introduction to bioinformatics pipelines, it was difficult but was stimulant!

por Dorota A

Aug 09, 2016

Very detailed and simply explained introduction to work in linux environment for biologist

por Sael M A

Jul 14, 2018

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

por Shashank Y

Feb 18, 2020

very good course, the flow of the course is really good, learned so many things

por Ross S

Mar 17, 2018

This was one of the most valuable courses I have taken online.

Thank you

por Yawei W

Apr 15, 2019

I really like this course! (The exams are a bit challenging though.)

por yijin

Feb 27, 2016

very basic and useful command line tools for genomic data analysis.

por Sean M

Feb 13, 2018

Great course. I think it should be the first in the whole series.

por Chunyu Z

Feb 10, 2016

I learned a LOT from this class and the instructor is very clear.

por 刘晨

Apr 20, 2016

It is easy to learn the basic knowledge,And It is very useful

por Mohammad Z A

Mar 06, 2017

very information with hands on training exercises.