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Biology Meets Programming: Bioinformatics for Beginners

Approx. 19 hours to complete

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Course Summary

This course covers the fundamental concepts and practical skills needed to analyze and interpret biological data, with a focus on bioinformatics tools and techniques.

Key Learning Points

Learn to use popular bioinformatics software tools and databases
Gain practical experience analyzing real biological data sets
Understand the principles of genomics, proteomics, and other -omics fields

Learning Outcomes

Understand the fundamental concepts of bioinformatics
Gain practical skills in using bioinformatics tools and software
Be able to analyze and interpret biological data sets

Prerequisites or good to have knowledge before taking this course

Basic knowledge of biology
Basic computer skills

Course Difficulty Level

Intermediate

Course Format

Online
Self-paced
Video lectures
Hands-on projects

Similar Courses

Introduction to Genomic Data Science
Bioinformatics Specialization
Data Science Essentials

Related Education Paths

Notable People in This Field

CEO of Scripps Research Translational Institute
Director of the Institute for Computational Health Sciences at UCSF
Director of the European Bioinformatics Institute

Related Books

Description

Are you interested in learning how to program (in Python) within a scientific setting?

This course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python. It offers a gently-paced introduction to our Bioinformatics Specialization (https://www.coursera.org/specializations/bioinformatics), preparing learners to take the first course in the Specialization, "Finding Hidden Messages in DNA" (https://www.coursera.org/learn/dna-analysis). Each of the four weeks in the course will consist of two required components. First, an interactive textbook provides Python programming challenges that arise from real biological problems. If you haven't programmed in Python before, not to worry! We provide "Just-in-Time" exercises from the Codecademy Python track (https://www.codecademy.com/learn/python). And each page in our interactive textbook has its own discussion forum, where you can interact with other learners. Second, each week will culminate in a summary quiz. Lecture videos are also provided that accompany the material, but these videos are optional.

Outline

Week 1
Optional: Where in the Genome Does DNA Replication Begin? (Part 1)
Optional: Where in the Genome Does DNA Replication Begin? (Part 2)
Course Details
Week 1 Quiz

Week 2
Optional: Where in the Genome Does DNA Replication Begin? (Part 3)
Optional: Where in the Genome Does DNA Replication Begin? (Part 4)
Week 2 Quiz

Week 3
Optional: From Implanted Patterns to Regulatory Motifs (Part 1) (10:09)
Optional: From Implanted Patterns to Regulatory Motifs (Part 2) (05:06)
Optional: From Implanted Patterns to Regulatory Motifs (Part 3) (07:22)
Week 3 Quiz

Week 4
Optional: How Rolling Dice Helps Us Find Regulatory Motifs (Part 1) (12:43)
Optional: How Rolling Dice Helps Us Find Regulatory Motifs (Part 2) (05:37)
Optional: How Rolling Dice Helps Us Find Regulatory Motifs (Part 3) (07:46)
Week 4 Quiz

Summary of User Reviews

The Bioinformatics course on Coursera has received positive reviews from users. The course is highly recommended and has received an overall high rating from users. Many users have praised the course for its comprehensive content and engaging instructors. One key aspect that many users thought was good is the practical application of the concepts taught in the course.

Pros from User Reviews

Comprehensive content
Engaging instructors
Practical application of concepts taught
Well-structured course syllabus
Good pacing of lessons

Cons from User Reviews

Some users found the course to be too technical
The course may not be suitable for beginners
Lack of interaction with instructors
Some users found the assessments to be too difficult
Limited resources for further practice

Recommended for you

Biology Meets Programming: Bioinformatics for Beginners

Are you interested in learning how to program (in Python) within a scientific setting? It offers a gently-paced introduction to our Bioinformatics Specialization (https://www....

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