What is genome sequencing?

Genome sequencing is similar to decoding DNA—much like solving a puzzle. It's a complex process of learning about the order of DNA nucleotides. DNA is made up of four bases that act like building blocks. They include adenine (A), cytosine (C), guanine (G), and thymine (T). Human genomes contain more than three billion bases. To perform genome sequencing, scientists break the long strings of bases into smaller parts to sequence before reassembling the structure to get the sequence of the entire genome. It's widely used in a clinical setting to better understand the pathology of diseases. It also has the potential to improve diagnostics, treatments, and therapies.

Why is it important to learn about genome sequencing?

If you're interested in better understanding human genetics, genome sequencing is a valuable subject to study. It provides you with deep insight into human ailments, diseases, and patterns of inheritance. If you're interested in subjects like antimicrobial resistance, bioinformatics, and genomic technologies, gaining a solid foundation in the principles and tools of genome sequencing is essential. It's an effective way to begin a new career or to gain advanced skills and knowledge to further your existing career.

What jobs can I get in genome sequencing?

Learning about genome sequencing can prepare you for a variety of jobs, including genomics researcher, technology developer, computational genomics data scientist, bioinformatics software professional, genomic medicine clinician, and clinical geneticist. Gaining the skills and knowledge for these types of careers empowers you to make a difference in people's lives by taking an active role in prenatal genetic screening, performing genetic testing for people with family histories of certain cancers, and having the opportunity to study rare diseases. You might work in an educational setting, biotechnology, pharmaceuticals, healthcare, or the government.

What are the benefits of taking an online Genome Sequencing course?

Online Genome Sequencing courses offer a convenient and flexible way to enhance your knowledge or learn new Genome Sequencing skills. Choose from a wide range of Genome Sequencing courses offered by top universities and industry leaders tailored to various skill levels.

What Genome Sequencing courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Genome Sequencing, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Genome Sequencing Courses - Learn Genome Sequencing Online

Explore the Genome Sequencing Course Catalog

Johns Hopkins University
Python for Genomic Data Science
Skills you'll gain: Bioinformatics, Data Structures, Jupyter, Python Programming, Programming Principles, Scripting Languages, Scripting, Package and Software Management, Computer Programming, Data Manipulation, File Management
4.3
Rating, 4.3 out of 5 stars
1.8K reviews
Mixed · Course · 1 - 4 Weeks
Icahn School of Medicine at Mount Sinai
Integrated Analysis in Systems Biology
Skills you'll gain: Science and Research, Scientific Methods, Analysis, Systems Analysis, Integration Testing, Systems Integration, Life Sciences, Data Analysis
4.6
Rating, 4.6 out of 5 stars
87 reviews
Mixed · Course · 1 - 4 Weeks
Johns Hopkins University
Computing for Cancer Informatics
Skills you'll gain: Computer Systems, Data Processing, Data Sharing, Computing Platforms, Data Storage, Computer Hardware, Big Data, Capacity Management, Data Infrastructure, Distributed Computing, Information Management, Computational Thinking, Cloud Computing, File Management
4.7
Rating, 4.7 out of 5 stars
13 reviews
Beginner · Course · 1 - 3 Months
Fred Hutchinson Cancer Center
Researcher's Guide to Omic Data
Skills you'll gain: Bioinformatics, Data Processing, Data Analysis, Exploratory Data Analysis, Statistical Analysis, Metadata Management, Science and Research, R Programming, Spatial Data Analysis, Data Management, Data Collection, Data Quality, Scientific Methods, Life Sciences, Research, General Science and Research, Analysis, Research Methodologies, Research Design
3.9
Rating, 3.9 out of 5 stars
20 reviews
Intermediate · Specialization · 3 - 6 Months
King Abdullah University of Science and Technology
Fundamental Skills in Bioinformatics
Skills you'll gain: Statistical Analysis, Bioinformatics, Unix, Scientific Visualization, Statistical Methods, R Programming, Rmarkdown, Unix Commands, Data Analysis, Data Quality, Statistical Hypothesis Testing, Exploratory Data Analysis, Programming Principles, Pandas (Python Package), Python Programming, NumPy, Data Manipulation, Computer Programming
4.4
Rating, 4.4 out of 5 stars
59 reviews
Beginner · Course · 1 - 4 Weeks
University of California San Diego
Hacking COVID-19 — Course 1: Identifying a Deadly Pathogen
Skills you'll gain: Bioinformatics, Infectious Diseases, Life Sciences, Computational Thinking, Medical Science and Research
4.5
Rating, 4.5 out of 5 stars
52 reviews
Beginner · Course · 1 - 4 Weeks
Moderna
mRNAs as Medicines
Skills you'll gain: Life Sciences, Pharmaceuticals, Emerging Technologies, Medical Science and Research, Scientific Visualization, Infectious Diseases, Clinical Research, Patient Treatment, Preventative Care, Innovation
4.7
Rating, 4.7 out of 5 stars
55 reviews
Beginner · Course · 1 - 4 Weeks
University of Colorado Boulder
Engineering Genetic Circuits
Skills you'll gain: Markov Model, Bioinformatics, Mathematical Modeling, Engineering Analysis, Electrical Engineering, Engineering Design Process, Computational Thinking, Simulations, Life Sciences, Engineering, Differential Equations, Technical Design, Simulation and Simulation Software, Numerical Analysis, Model Based Systems Engineering, Engineering Software, Computer-Aided Design, Research Design, Predictive Modeling, Applied Mathematics
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
24 reviews
Intermediate · Specialization · 3 - 6 Months
University of California San Diego
Applied Bioinformatics
Skills you'll gain: Bioinformatics, Computational Thinking, Infectious Diseases, Data Validation, Network Analysis, Medical Science and Research, Data Mining, Life Sciences, Scientific Visualization, Tree Maps, Scientific Methods, Taxonomy, Statistical Methods, Science and Research, Big Data
4.5
Rating, 4.5 out of 5 stars
62 reviews
Beginner · Specialization · 1 - 3 Months
Status: Free
University of Copenhagen
Diabetes - a Global Challenge
Skills you'll gain: Preventative Care, Epidemiology, Medical Science and Research, Patient Treatment, Pharmaceuticals, Health Care, Clinical Trials, Treatment Planning, Clinical Research, Science and Research
4.8
Rating, 4.8 out of 5 stars
721 reviews
Mixed · Course · 1 - 3 Months
Fred Hutchinson Cancer Center
Researcher's guide to omic fundamentals
Skills you'll gain: Bioinformatics, Data Processing, Data Analysis, Exploratory Data Analysis, Statistical Analysis, Metadata Management, R Programming, Scientific Methods, Data Management, Data Quality
4.1
Rating, 4.1 out of 5 stars
9 reviews
Intermediate · Course · 1 - 3 Months
Icahn School of Medicine at Mount Sinai
Big Data Science with the BD2K-LINCS Data Coordination and Integration Center
Skills you'll gain: Bioinformatics, Interactive Data Visualization, Supervised Learning, Machine Learning, Big Data, Data Science, Data Transformation, Data Integration, Network Analysis, Life Sciences, Exploratory Data Analysis, Unsupervised Learning, Data Processing, Data Analysis, Metadata Management, Semantic Web, Statistical Methods, Application Programming Interface (API), Restful API
4.8
Rating, 4.8 out of 5 stars
25 reviews
Intermediate · Course · 3 - 6 Months