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Learn Bioinformatics, earn certificates with free online courses from Harvard, Stanford, MIT, University of Michigan and other top universities around the world. Read reviews to decide if a class is right for you.
For software professionals entering Bioinformatics: DNA sequencing data analysis, NGS, & Biology prerequisites
Best Bioinformatics Course To Learn Advance Bioinformatics Techniques Like Docking & Molecular Dynamics Simulations
Learn Python programming for biological data manipulation and scientific research
Bioinformatics course for Students, Academia and Industry Professionals to learn RNA-Seq Data (NGS) Analysis From Zero
Learn how to do a novel bioinformatics research project all on your computer! Great for high school students.
Get an introduction to computational biology and learn what it takes to develop a research project
Learn to use Biopython for bioinformatics tasks: sequence analysis, alignments, BLAST searches, and database interactions. Gain practical skills for handling biological data with Python.
Learn the basics of computer aided drug designing and how to publish your first paper from scratch in Bioinformatics.
Develop practical programming and data analysis skills for bioinformatics using R and Python, covering RNA-seq analysis and essential statistical concepts for biological research.
Gain comprehensive understanding of bioinformatics databases, from basics to advanced concepts. Learn to confidently choose and utilize primary, secondary, and composite databases for effective research in life sciences.
Develop practical bioinformatics skills using real COVID-19 data. Learn genomic concepts, analyze pathogen identification, decode viral secrets, trace origins, explore drug targets, and study viral evolution.
Comprehensive playlist covering high-throughput sequencing analysis, including RNA-seq, ChIP-Seq, PCA, clustering, and statistical methods for bioinformatics and genomics research.
Learn Python programming for bioinformatics, covering DNA sequence manipulation, data types, and analysis techniques. Ideal for beginners in biology and computational biology.
In this course, we aim to give a walkthrough of the major aspects of bioinformatics such as the development of databases, computationally derived hypothesis, algorithms, and computer-aided drug design.
Learn protein annotation techniques including molecular docking, function identification, structure analysis, and molecular dynamics simulations using tools like Autodock, Pymol, and Gromacs.
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