Description
Bioinformatics Specialization, the training course on bioinformatics specialization and computational methods is published by Coursera Academy. Once you complete this specialization, you will learn how to answer many questions in modern biology that use computational methods to solve them. You will also gain a toolbox of existing software resources built on these computational methods and used daily by thousands of biologists in one of the fastest growing fields of science. Although this specialization focuses on computational topics, you do not need to know how to program to complete it. If you’re interested in coding, we’ve introduced an “Honors Track” in previous programs. The Honors Track allows you to code the bioinformatics algorithms you’ll encounter along the way in dozens of coding challenges. Implement graded automatic face. By completing the above steps, you will be a bioinformatics software expert.
What you will 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
Bioinformatics Specialization course specifications
- Publisher: Coursera
- teacher : Pavel Pevzner
- English language
- Education level: introductory
- Number of courses: 7
- Duration of training: about 3 months, including 10 hours of work per week
Chapters of the Bioinformatics Specialization course
Course prerequisites
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
This collection includes 7 different courses.
The 2024/2 version has not changed in terms of duration and number of lessons compared to 2023/5. About 80 text files have been added. It is also the last period.
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Finding Hidden Messages in DNA (Bioinformatics I)
Genome Sequencing (Bioinformatics II)
Comparing Genes, Proteins, and Genomes (Bioinformatics III)
Finding Mutations in DNA and Proteins (Bioinformatics VI)
Genomic Data Science and Clustering (Bioinformatics V)
Molecular Evolution (Bioinformatics IV)
Bioinformatics Capstone Big Data in Biology
File(s) password: www.downloadly.ir
Size
3.28 GB
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