Master bioinformatics software and computational approaches in modern biology. Learn genome sequencing, analysis, and evolutionary studies.
Master bioinformatics software and computational approaches in modern biology. Learn genome sequencing, analysis, and evolutionary studies.
This comprehensive specialization teaches computational biology fundamentals through seven courses. Students learn genome sequencing, comparison techniques, evolutionary analysis, and clustering methods. The program covers practical applications like identifying genetic mutations, constructing evolutionary trees, and analyzing gene expression data. Featuring both theoretical concepts and hands-on software applications, learners develop skills in DNA analysis, protein comparison, and modern bioinformatics tools. The specialization includes real-world projects and optional programming challenges for those interested in software development.
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English
বাংলা, پښتو, اردو, 2 more
What you'll learn
Learn to sequence and analyze complete genomes. Master computational approaches to biological problems. Develop skills in comparing genes and proteins. Understand evolutionary relationships between species. Analyze gene expression and molecular data. Implement bioinformatics algorithms and tools. Apply computational methods to real biological data.
Skills you'll gain
This course includes:
116 Hours PreRecorded video
Multiple assessments across 7 courses
Access on Mobile, Desktop
FullTime access
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There are 7 courses in this program
Finding Hidden Messages in DNA (Bioinformatics I)
Course 1 · 15 Hours to complete · 5 modules
Genome Sequencing (Bioinformatics II)
Course 2 · 17 Hours to complete · 5 modules
Comparing Genes, Proteins, and Genomes: Bioinformatics III
Course 3 · 22 Hours to complete · 6 modules
Molecular Evolution (Bioinformatics IV)
Course 4 · 18 Hours to complete · 6 modules
Genomic Data Science and Clustering (Bioinformatics V)
Course 5 · 9 Hours to complete · 3 modules
Finding Mutations in DNA and Proteins (Bioinformatics VI)
Course 6 · 23 Hours to complete · 6 modules
Bioinformatics Capstone: Big Data in Biology
Course 7 · 12 Hours to complete · 3 modules
Fee Structure
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