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: Data Processing
Status: Information Management
Course12 hours

Featured reviews

AA

Reviewed Mar 10, 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

Reviewed Jun 18, 2021

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

SY

Reviewed Feb 17, 2020

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

HP

Reviewed Mar 10, 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

Reviewed Jun 26, 2020

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

SA

Reviewed Jul 13, 2018

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

AF

Reviewed Mar 18, 2021

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

AD

Reviewed Aug 26, 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

Reviewed Oct 23, 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

Reviewed Oct 17, 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

Reviewed Mar 3, 2019

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

GV

Reviewed Mar 13, 2016

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

All reviews

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