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Introduction to Genomic Technologies

Approx. 6 hours to complete

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Course Summary

This course provides an introduction to genomics and covers topics such as DNA sequencing, assembly and annotation, and gene expression analysis. Students will learn about the latest technologies and tools used in genomics research.

Key Learning Points

Gain a fundamental understanding of genomics and its applications
Learn about the latest technologies and tools used in genomics research
Explore the impact of genomics on various fields such as medicine, agriculture, and forensics

Job Positions & Salaries of people who have taken this course might have

- USA: $80,000
- India: ₹6,00,000
- Spain: €40,000
- USA: $80,000
- India: ₹6,00,000
- Spain: €40,000
- USA: $70,000
- India: ₹5,00,000
- Spain: €35,000
- USA: $80,000
- India: ₹6,00,000
- Spain: €40,000
- USA: $70,000
- India: ₹5,00,000
- Spain: €35,000
- USA: $90,000
- India: ₹7,00,000
- Spain: €45,000

Learning Outcomes

Understand the basic principles of genomics
Learn about the latest technologies and tools used in genomics research
Explore the impact of genomics on various fields such as medicine, agriculture, and forensics

Prerequisites or good to have knowledge before taking this course

Basic knowledge of biology and genetics
Familiarity with computer programming is helpful but not required

Course Difficulty Level

Intermediate

Course Format

Online self-paced course
Video lectures
Quizzes and assignments
Peer-reviewed projects

Similar Courses

Genomic Data Science
Introduction to Bioinformatics

Related Education Paths

Notable People in This Field

Jennifer Doudna
Eric Lander

Related Books

Description

This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We'll introduce the Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and epigenetic patterns. You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed.

This is the first course in the Genomic Data Science Specialization.

Outline

Overview
Why Genomics?
What Is Genomics?
What Is Genomic Data Science?
Just Enough Cell Biology
Important Molecules in Molecular Biology
The Human Genome Project
Molecular Biology Structures
From Genes to Phenotypes
Syllabus
Pre-Course Survey
Quiz 1: Overview and Molecular Biology

Measurement Technology
Polymerase Chain Reaction
Next Generation Sequencing
Applications of Sequencing
Quiz 2: Measurement Technology

Computing Technology
What Is Computer Science?
Algorithms
Memory and Data Structures
Efficiency
Software Engineering
What is Computational Biology Software
Quiz 3: Computing Technology

Data Science Technology
Why Care About Statistics?
What Went Wrong?
The Central Dogma of Statistics
Data Sharing Plans
Getting Help with Statistics
Plotting Your Data
Sample Size and Variability
Statistical Significance
Multiple Testing
Study Design, Batch Effects, and Confounding
Course Project Instructions and Reading
Post-Course Survey
Quiz 4: Data Science Technology
Course Project

Summary of User Reviews

Discover the fascinating world of genomics with this introductory course on Coursera. Students have praised the course for its comprehensive coverage of the subject matter and engaging teaching style.

Key Aspect Users Liked About This Course

Comprehensive coverage of the subject matter

Pros from User Reviews

Engaging teaching style
In-depth explanations of complex concepts
Interactive quizzes and assignments
Access to additional resources and readings
Opportunities for collaboration and discussion with peers

Cons from User Reviews

Some students found the pace to be too fast
Occasional technical issues with the online platform
Lack of personalized feedback on assignments
Limited opportunities for hands-on experience with genomic data
Not suitable for students with no prior background in biology or genetics

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