Command Line Tools for Genomic Data Science
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| Rating | 3.6★ based on 97 ratings |
|---|---|
| Length | 5 weeks |
| Starts | Jun 26 (44 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
command line tools
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
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
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
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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| Rating | 3.6★ based on 97 ratings |
|---|---|
| Length | 5 weeks |
| Starts | Jun 26 (44 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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