Coursera – Bioinformatics Specialization 2024-2

Bioinformatics Specialization,When you complete this Specialization, you will learn how to answer many questions in modern biology that have become inseparable from the computational approaches used to solve them. You will also obtain a toolkit of existing software resources built on these computational approaches and that are used by thousands of biologists every day in one of the fastest growing fields in science. Although this Specialization centers on computational topics, you do not need to know how to program in order to complete it. If you are interested in programming, we feature an “Honors Track” (called “hacker track” in previous runs of the course). The Honors Track allows you to implement the bioinformatics algorithms that you will encounter along the way in dozens of automatically graded coding challenges. By completing the Honors Track, you will be a bioinformatics software professional!

What you’ll learn

• Whole Genome Sequencing
• Viterbi Algorithm
• Suffix Tree
• Python Programming
• Algorithms
• Unweighted Pair Group Method with Arithmetic Mean (UPGMA)
• Bioinformatics
• Bioinformatics Algorithms
• Dynamic Programming
• Graph Theory

Specificatoin of Bioinformatics Specialization

• Publisher : Coursera
• Teacher : Pavel Pevzner
• Language : English
• Level : Beginner
• Number of Course : 7
• Duration : 3 months at 10 hours a week

Content of Bioinformatics Specialization

Requirements

• No prior experience required.

Pictures

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle : English

Quality: 720p

This Specialization contain 7 courses.

The 2024/2 compared to 2023/5 version has not changed in terms of duration and number of lessons . About 80 text files have been added. The last course has been added

Download Links

Finding Hidden Messages in DNA (Bioinformatics I)

Download Part 1 – 406 MB

Genome Sequencing (Bioinformatics II)

Download Part 1 – 592 MB

Comparing Genes, Proteins, and Genomes (Bioinformatics III)

Download Part 1 – 817 MB

Finding Mutations in DNA and Proteins (Bioinformatics VI)

Download Part 1 – 696 MB

Genomic Data Science and Clustering (Bioinformatics V)

Download Part 1 – 262 MB

Molecular Evolution (Bioinformatics IV)

Download Part 1 – 573 MB

Bioinformatics Capstone Big Data in Biology

Download Part 1 – 4 MB

File size

3.28 GB