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Command Line Tools for Genomic Data Science

Liliana Florea, PhD

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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What's inside

Syllabus

Basic Unix Commands
In this module, you will be introduced to Command Line Tools for Genomic Data Science
Week Two
In this module, we'll be taking a look at Sequences and Genomic Features in a sequence of 10 presentations.
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Week Three
In this module, we'll be going over Alignment and Sequence Variation in another sequence of 8 presentations.
Week Four
In this module, we'll be going over Tools for Transcriptomics in a sequence of 6 presentations.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces learners to basic Unix commands for analyzing genetic data
Builds a foundation in working with genomic data
Teaches fundamental concepts and tools for managing and analyzing large sets of genomic data
Suitable for learners who wish to specialize or deepen their knowledge in Genomic Big Data Science
Delivered by an instructor experienced in Genomic Big Data Science
This is the fourth course in the Genomic Big Data Science Specialization from Johns Hopkins University

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Reviews summary

Genomic data science tools

Learners say that command line tools and genomic data science are covered as expected in this course. However, some learners express concerns about poor instructions and lack of support. Reviews are largely negative.
Course content is as expected.
"This course was well structured, I have benefited a lot from it. Not intimidated by writing my own commands in Ubuntu any more."
Learners had issues with VMBox software.
"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."
"modified my registry! I will not have to uninstall everything and return my Windows to a previous start point to undo the issues it is causing."
Course instructions were sometimes unclear.
"Assessments often have inadequate instructions."
"No question the worst class I've taken so far on coursera. I've had to google many times due to the bad explanations instructor gave."
There is little to no support from staff.
"Course instruction was uninteresting, tedious, and, like I mentioned, uninvolved."
"you are pretty much left to your own resources, and your fellow students, for everything because there was never any active support from staff."

Career center

Learners who complete Command Line Tools for Genomic Data Science will develop knowledge and skills that may be useful to these careers:
Bioinformatician
A Bioinformatician takes biological data, such as DNA sequences, and uses computer software to analyze and interpret it. This data can then be used to find new treatments for diseases. The Command Line Tools for Genomic Data Science course will help you develop the skills necessary to succeed in this role by teaching you how to manage and analyze large sets of genomic data.
Computational Biologist
A Computational Biologist uses mathematical and computational methods to analyze and interpret biological data. This data can be used to find new treatments for diseases, develop new drugs, and improve our understanding of how living organisms work. The Command Line Tools for Genomic Data Science course will help you develop the skills necessary to succeed in this role by teaching you how to manage and analyze large sets of genomic data.
Database Administrator
A Database Administrator designs, implements, and maintains databases. Databases are used to store and organize data, and they are used by businesses of all sizes to manage their operations. The Command Line Tools for Genomic Data Science course will help you develop the skills necessary to succeed in this role by teaching you how to manage and analyze large sets of data.
Health Information Manager
A Health Information Manager plans, implements, and manages health information systems. These systems are used to store and organize patient data, and they are used by hospitals and other healthcare providers to manage patient care. The Command Line Tools for Genomic Data Science course will help you develop the skills necessary to succeed in this role by teaching you how to manage and analyze large sets of data.
Statistician
A Statistician collects, analyzes, and interprets data. This data can be used to make informed decisions about a variety of topics, including public policy, business strategy, and scientific research. The Command Line Tools for Genomic Data Science course will help you develop the skills necessary to succeed in this role by teaching you how to manage and analyze large sets of data.
Information Security Analyst
An Information Security Analyst protects computer systems and networks from cyber attacks. These attacks can come from a variety of sources, including hackers, viruses, and malware. The Command Line Tools for Genomic Data Science course will help you develop the skills necessary to succeed in this role by teaching you how to manage and analyze large sets of data.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. These applications can be used for a variety of purposes, including business, education, and entertainment. The Command Line Tools for Genomic Data Science course will help you develop the skills necessary to succeed in this role by teaching you how to manage and analyze large sets of data.
Data Analyst
A Data Analyst collects, analyzes, and interprets data to help businesses make better decisions. This data can come from a variety of sources, including customer surveys, sales data, and social media data. The Command Line Tools for Genomic Data Science course will help you develop the skills necessary to succeed in this role by teaching you how to manage and analyze large sets of data.
Systems Analyst
A Systems Analyst designs, implements, and maintains computer systems. These systems can be used for a variety of purposes, including business, education, and government. The Command Line Tools for Genomic Data Science course will help you develop the skills necessary to succeed in this role by teaching you how to manage and analyze large sets of data.
Database Designer
A Database Designer designs and implements databases. Databases are used to store and organize data, and they are used by businesses of all sizes to manage their operations. The Command Line Tools for Genomic Data Science course may help you develop some of the skills necessary to succeed in this role by teaching you how to manage and analyze data.
Web Developer
A Web Developer designs, develops, and maintains websites. Websites can be used for a variety of purposes, including business, education, and entertainment. The Command Line Tools for Genomic Data Science course may help you develop some of the skills necessary to succeed in this role by teaching you how to manage and analyze data.
Technical Writer
A Technical Writer creates and maintains technical documentation. This documentation can include user manuals, training materials, and white papers. The Command Line Tools for Genomic Data Science course may help you develop some of the skills necessary to succeed in this role by teaching you how to manage and analyze data.
Information Technology Manager
An Information Technology Manager plans, implements, and manages information technology systems. These systems can be used for a variety of purposes, including business, education, and government. The Command Line Tools for Genomic Data Science course may help you develop some of the skills necessary to succeed in this role by teaching you how to manage and analyze data.
Computer Network Architect
A Computer Network Architect designs, implements, and maintains computer networks. These networks can be used for a variety of purposes, including business, education, and government. The Command Line Tools for Genomic Data Science course may help you develop some of the skills necessary to succeed in this role by teaching you how to manage and analyze data.
Project Manager
A Project Manager plans, executes, and closes projects. Projects can be of any size or complexity, and they can be found in any industry. The Command Line Tools for Genomic Data Science course may help you develop some of the skills necessary to succeed in this role by teaching you how to manage and analyze data.

Reading list

We've selected 19 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Command Line Tools for Genomic Data Science.
Introduces the field of genomics and bioinformatics. It covers a wide range of topics, from basic concepts to advanced applications. It would be an excellent textbook for the course, as it would provide students with a comprehensive overview of the field.
Provides a comprehensive guide to the Unix and Linux operating systems. It covers a wide range of topics, from basic commands to advanced system administration tasks. This book would be a valuable supplemental textbook for the course, as it would provide students with a deeper understanding of the Unix command line.
This commonly used textbook for academic institutions and industry professionals who want to learn the algorithms and techniques used in computational biology.
Provides a comprehensive introduction to bioinformatics, covering topics such as sequence analysis, protein structure prediction, and gene expression analysis.
Teaches the basics of bioinformatics data skills, such as data management, analysis, and visualization. It would be an excellent resource for students who want to learn more about the fundamentals of bioinformatics.
Provides a comprehensive overview of bioinformatics tools. It covers a wide range of topics, from basic bioinformatics tools to advanced bioinformatics tools. It good choice for anyone who wants to learn more about bioinformatics tools.
Provides a comprehensive overview of bioinformatics for beginners. It covers a wide range of topics, from basic bioinformatics concepts to advanced bioinformatics techniques. It good choice for anyone who wants to learn more about bioinformatics.
Provides a comprehensive overview of statistical methods used in bioinformatics. It would be an excellent resource for students who want to learn more about this topic.
Useful reference tool for understanding the statistical and signal processing methods used in genomic data science.
Can provide additional depth and breadth to the subject of genomic data science, with a focus on the specific commands and techniques used in this field.
Can provide additional depth and breadth to the subject of genomic data science, with a focus on sequence alignment methods.
Can provide additional depth and breadth to the subject of genomic data science, with a focus on natural language processing techniques.
Provides a comprehensive overview of machine learning in bioinformatics. It covers a wide range of topics, from basic machine learning concepts to advanced machine learning methods. It good choice for anyone who wants to learn more about machine learning in bioinformatics.
Provides a comprehensive overview of bioinformatics algorithms. It covers a wide range of topics, from basic bioinformatics algorithms to advanced bioinformatics algorithms. It good choice for anyone who wants to learn more about bioinformatics algorithms.
Beginner-friendly guide to the Linux command line. It covers the basics of using the command line, as well as more advanced topics such as scripting and system administration. It good choice for anyone who wants to learn more about the Linux command line.
Provides an introduction to Python programming for bioinformatics, covering topics such as data structures, algorithms, and bioinformatics libraries.
Covers advanced topics in genome analysis, including comparative genomics, gene expression analysis, and genome annotation.

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