About this course: We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequencing is used. We will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing datasets.
Created by: Johns Hopkins University
Taught by: Ben Langmead, PhD, Assistant Professor
Computer Science
Taught by: Jacob Pritt
Department of Computer Science
| Basic Info |
Course 4 of 8 in the
Genomic Data Science Specialization.
|
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
Syllabus
WEEK 1
DNA sequencing, strings and matching
This module we begin our exploration of algorithms for analyzing DNA sequencing data. We'll discuss DNA sequencing technology, its past and present, and how it works.
19 videos, 7 readings
Graded: Module 1
Graded: Programming Homework 1
WEEK 2
Preprocessing, indexing and approximate matching
In this module, we learn useful and flexible new algorithms for solving the exact and approximate matching problems. We'll start by learning Boyer-Moore, a fast and very widely used algorithm for exact matching
15 videos, 1 reading
Graded: Module 2
Graded: Programming Homework 2
WEEK 3
Edit distance, assembly, overlaps
This week we finish our discussion of read alignment by learning about algorithms that solve both the edit distance problem and related biosequence analysis problems, like global and local alignment.
13 videos, 1 reading
Graded: Module 3
Graded: Programming Homework 3
WEEK 4
Algorithms for assembly
In the last module we began our discussion of the assembly problem and we saw a couple basic principles behind it. In this module, we'll learn a few ways to solve the alignment problem.
13 videos, 1 reading
Graded: Programming Homework 4
Graded: Module 4
FAQs
How It Works
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Creators
Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Pricing
| Audit | Purchase Course | |
|---|---|---|
| Access to course materials | Available | Available |
| Access to graded materials | Not available | Available |
| Receive a final grade | Not available | Available |
| Earn a shareable Course Certificate | Not available | Available |
Ratings and Reviews
This was a very good course! It delivers what it promises successfully and help understand the problem of DNA sequencing. It is a very helpful course, explains domain terms and constructs a background for people that have no background in bioinformatics. It also addresses problems, algorithms that are used in this field and in programming assignments, it forces for the learner to implement them.
One of the best courses in this specialization!
Great but too short. I realize that it is hard to know where to start the course from but it is true that the Introductory Course for the Genomics Specialization has a lot of over lapping material. I suggest getting rid of your intro material and go just a little farther in depth.
Thanks, MC
Coursera provides universal access to the world’s best education, partnering with top universities and organizations to offer courses online.
© 2017 Coursera Inc. All rights reserved.
PC
Great course, the practical classes help me a lot and I did understand the topic. Thank you