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Volver a Command Line Tools for Genomic Data Science

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

4.1
estrellas
372 calificaciones
102 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

GG

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.

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.

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51 - 75 de 101 revisiones para Command Line Tools for Genomic Data Science

por Keri M

Feb 27, 2019

I learned a ton and feel like I understand the formats of all of the different really well. I will say that week 4 is out of date in that Tophat has been replaced with HISAT and I wasn't able to download the tools needed. It wasn't a waste of time to learn tophat but would have been nice to learn the most recent tools.

por Jitesh D

Mar 30, 2019

Course content is really good! Lot of informational resources. Course delivery was little monotonous though. Exam 4 really made it very difficult due to not so clear instructions, otherwise it was a good course. Learnt lot of command lines tools and mainly to effectively use Linux commands in analysis.

por oyebode j O

Dec 20, 2018

Very fine course. drills students well. would prefer if files used in examples were provided for students before the class. it makes life easier. would also prefer students are advised how to install tools on their laptops. Good course overall and I learnt much

por Benson N M

Dec 21, 2016

Awesome course. The skills taught will cut across not only in genomics but also, in other aspects. The discussion forum was amazing! The mentors and people who were doing the course at the period i did it were very helpful.

por Michael G

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 李俊宏

Mar 03, 2019

This course is reasonably difficult. The assignments are quite fulfilling and well organized by virtual machine. I hope the slides could be more detailed because it too simple.

por Sara C

Oct 18, 2016

Th lecturer could be a little more engaging and the materials used during classes, if made available would help following it better, by replicating the examples being shown.

por Leonardo S

Apr 24, 2020

Some explanations are4 not completely clear. A good summary of what every tools does and of which rools should be used to tackle which situation would really beneficial

por Andrew J D

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 Gonzalo C S

Feb 06, 2017

It was a useful course. A pity that the instructor makes so many mistakes when speaking, which makes sometimes a bit confusing to follow.

por 邵文

Jun 15, 2018

The speaker's accent and inaccurate subtitles sometimes make it difficult for me to understand.

por Erik K

Mar 04, 2019

Excellent Introduction to Command Line Tools used in High Throughput Sequencing Analysis.

por Vassil D

Jan 09, 2017

More in-depth explanation would be better. Reasonable projects, overall. Well structured.

por Avinash K

May 02, 2020

Good course to improve your command line skills in analyzing genomic data.

por Thiago C S

May 15, 2019

Some questions were way too specific and out of scope from real practice.

por Geoffrey K

Apr 22, 2019

A worthy introduction to the problems facing computational biologists.

por Qianhao L

May 12, 2018

Could have more tools introduced, for instance SNP calling tools.

por Xing Y

Oct 02, 2018

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

por Pir N A

Nov 21, 2019

I like the course too much,

por 普嘉杰

Feb 20, 2017

this is a useful course

por Catherine J

May 19, 2020

Excellent presentation

por Wenting W

Sep 11, 2017

Useful course.

por Kasper T K

Nov 21, 2017

Great course, the instructor does a great job in introducing the students to some off the important sequencing analysis tools. Some of the lectures are although a bit bland, where the instructor reads the entire contents of a slide for format files or program options, this is sometimes quite useless as you can read that yourself by... simply reading the slides.

Forums were not always very useful, sometimes solving error messages were supported by referring to the manual page, instead of actually bothering to look through the code for providing more constructive feedback on what goes wrong in a given example.

Instead, examples should be given which elaborates on the effects on chosen different parameters - like "If you want to make a local alignment, use the bla.bla option. However, beware that when using this, more errors are prone to be assigned...bla.bla.".

For the format, interesting columns in the format files in general are interesting, when looking for e.g. "amount of unique genes" etc.

By doing this, we would be helped better into understanding questions of the quizzes, while also delivering an even deeper understanding of the formats and tools.

por Onur S

Feb 20, 2018

I really struggled to complete this course. The extent of coverage of the topics is quite good, however this is a applied course and application part is lacking A LOT. The biggest drawback here is that the instructors demonstrations are not accessible to learners. This limits the learning experience so much that you get stuck even at the easiest question in a module exam. Some questions in the exams really require the learner to think and do google searches to figure out a strategy to answer the question (this is a good thing, though). However, it can be very easy to get bogged down and lose focus while figuring out what's going wrong. It is advised to visit discussion forums before taking module exams. I think you should not expect to master the presented tools after finishing the course, but you will still get a decent understanding of them

por Emil C F

Feb 03, 2020

Great inclusion in the specialization. I never knew anything about shell until now and I feel like I can use a lot of things from the course in my day-to-day data treatment/processing tasks. I am only giving 3 stars because I spend about 40-50% of the time troubleshooting technical things. The CentOS Vmbox is a great idea but that hardly worked for me (it interfaced weird with OSX and I could get it to understand my keyboard layout, shared folders did not work either) and was a source of frustration. One suggestion for the course would be to help the student verify the initial data set before completing all the analyses on it ... e.g. in the reading section mention the length of the output or similar. Twice I filled out an entire exam "correctly" but had the wrong initial output. You don't learn a lot from that but it does take a long time.