Back to Command Line Tools for Genomic Data Science
Johns Hopkins University

Command Line Tools for Genomic Data Science

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.

Status: Bed Management
Status: Data Processing
Course12 hours

Featured reviews

GG

5.0Reviewed 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.

LS

4.0Reviewed 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

AA

5.0Reviewed 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.

NL

5.0Reviewed Jun 19, 2021

Leart a lot. Recommend all others this course. Lecturer also cool and explain every bit of course contents.

HP

4.0Reviewed Mar 11, 2022

Course explanation is good but some topics are not updated like mplieup is now not included in samtools and they didnot update information. Instructor taught lectures very well.

PS

5.0Reviewed Jun 27, 2020

A very well planned course for beginners who don't have any experience with command line language for exploring genomic data

SA

5.0Reviewed Jul 14, 2018

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

AF

4.0Reviewed Mar 19, 2021

Course is good, Exam 4 requires extra instructions. DO NOT USE ANNOTATIONS WITH TOPHAT!

AD

4.0Reviewed 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).

AA

5.0Reviewed Oct 24, 2025

i want to start this course free throughout , kindly allow it for everyone , your course is such an amazing skill that everyone should has

SC

4.0Reviewed 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.

EK

4.0Reviewed Mar 4, 2019

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

All reviews

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