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Command Line Tools for Genomic Data Science

This course is a part of Genomic Data Science, a 8-course Specialization series from Coursera.

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.
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Johns Hopkins University

Rating 3.6 based on 97 ratings
Length 5 weeks
Starts Apr 6 (4 weeks ago)
Cost $49
From Johns Hopkins University via Coursera
Instructor Liliana Florea, PhD
Download Videos On all desktop and mobile devices
Language English
Subjects Science Data Science
Tags Life Sciences Biology Data Science Data Analysis Health Informatics

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What people are saying

According to other learners, here's what you need to know

command line tools in 8 reviews

So far I have taken 5 of the 8 courses, and I consider Command Line Tools to be the worst of the lot.

The demonstrations of the tools were typed on a screen that was too small and the command line tools were executed so quickly that it's hard to see where the screen full of data came from.

However I made the decision to stick with ONLY the command line tools and actually ended up learning a lot more about basic unix tools that I rarely get to use.

This course covers used of command line tools such as the Tuxedo suite.

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

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

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.

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genomic data science specialization in 4 reviews

This is part of the Genomic Data Science specialization program that Johns Hopkins University is offering.

This is part of the Genomic Data Science specialization program that Johns Hopkins University is offering.

I have used some of this tools for some time but I find their's still something new to learn I considered this course was condiserably harder than previous courses from the Genomic Data Science specialization due to lacking instructions and exams asking about concepts not reviewed in class, for instance, soft/hard links distinctions, the use of cuffcompare, a clear distinction between mate reads and paired reads, a thorough explanation of the use of CDS vs exon in gtf files.

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learn a lot in 3 reviews

Be prepared to knuckle down and REALLY learn a lot about the specific commands and what they provide as there are a ton of them.

You don't learn a lot from that but it does take a long time.

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figure out in 3 reviews

Aside from very poor instructions on this, part of this requires you to use a bit torrent downloader, and you are left to your own devices to figure out what bit torrent software might be safe to use.

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).

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Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Genomic Lab Specialist $50k

Data 1 2 $50k

Data 2 $50k

Genomic Science Liaison $61k

Genomic Technologist $64k

Genomic Variation Specialist $68k

Analyze Technician (troubleshooting) $72k

Genomic Data Science Programmer $75k

Genomic Specialist Consultant $76k

Data Analyst, Data Warehousing $93k

Directories Project Manager / Programmer $101k

Data Administrator / Data Modeler $108k

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Coursera

&

Johns Hopkins University

Rating 3.6 based on 97 ratings
Length 5 weeks
Starts Apr 6 (4 weeks ago)
Cost $49
From Johns Hopkins University via Coursera
Instructor Liliana Florea, PhD
Download Videos On all desktop and mobile devices
Language English
Subjects Science Data Science
Tags Life Sciences Biology Data Science Data Analysis Health Informatics

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