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CourseraData Structures and AlgorithmsFree courseCertificate

Algorithms for DNA Sequencing

With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets. Genomic Data Science is the field that applies statistics and data science to the genome.This Specialization covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in genomic data science including how to use the command line, along with a variety of software implementation tools like Python, R, Biocon

4.8
94 reviews

Created by: Ben Langmead

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Course Description

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.
product length iconTime: 22h

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Instructor Details

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Ben Langmead is an Assistant Professor in the Department of Computer Science at Johns Hopkins University. He earned his Ph.D. in Computer Science from the University of Maryland in 2012. His group seeks to make high-throughput biological datasets easy for biomedical researchers to use. The group has released several high-impact software tools for genomics. He is the recipient of a Sloan Research Fellowship (2014) and a National Science Foundation CAREER award (2014).

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Reviews

4.8

94 reviews in total

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By SongMyungjin on 3-Nov-19

Very good course on DNA Sequencing. Excellent teaching and just the right level of programming assignments.

By Thalles R on 10-Oct-19

Excellent course and excellent instructors! This course had really good content and I learned a lot in a field I already work in. Recommend to anyone who want to learn more On Algorithms for DNA Sequencing!

By sumita m on 9-Oct-19

Very engaging and interesting course! Ben Langmead explains concepts very clearly and has clean, well-structured presentations. Enough biological background is provided even for individuals with no experience with genomics. What I found most helpful about the course is that the Jupyter Notebooks from the lectures are freely available on GitHub.

By Suresh A on 15-Sep-19

One of the best online courses that I have ever taken

By Muhammad N on 27-Aug-19

Very nice homework exercises.

By Nikhil J on 15-Aug-19

Of the first four courses in the specialization, this is by far the best. The instructor is incredibly clear, teaches with an obvious interest in student learning, and conveys complex topics incredibly well. The practical sessions are an amazing addition and it is impressive to watch the algorithms come alive in such an elegant fashion. Both instructors in the practicals are exceptional.

By Gustavo B on 13-Aug-19

Not so easy homeworks, but the course is very clear and very interesting. 100% OK

By rajesh t on 7-Aug-19

The best online course I have ever taken! Congrats!

By Andrew M O on 26-Jul-19

An excellent course! Learned a lot through the well-designed lectures and assignments.

By Farooq M K on 24-Jul-19

Wonderful course! However, I think most of the homework can be improved to become more challenging.

By Sam Z on 9-Jul-19

The lectures are really excellent. Things that could be improved are coding instructions. These clips are not always as clear as lectures. My suggesting is using some graphs, examples, or pseudo code when writing the python codes.

By Anaís G on 7-Jul-19

This is the best course so far in this specialization. I enjoyed the way both instructors explained the concepts using simple analogies. It was a really productive month for me!

Showing 12 of 94 reviews

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Overall Score : 96 / 100

Algorithms for DNA Sequencing
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  • Video Duration: icon 22h
  • Price: Free
  • Provider: icon Coursera
  • University: icon EIT Digital
  • Language: icon English
  • Certificate: icon Yes

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