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WIZAPE
Apprentice Mode
10 Modules / ~100 pages
Wizard Mode
~25 Modules / ~400 pages

Bioinformatics
( 24 Modules )

Module #1
Introduction to Bioinformatics
Overview of bioinformatics, its importance, and history
Module #2
Biological Databases
Introduction to biological databases, types, and uses
Module #3
Sequence Analysis
Introduction to sequence analysis, tools, and techniques
Module #4
Pairwise Sequence Alignment
Theory and practice of pairwise sequence alignment
Module #5
Multiple Sequence Alignment
Theory and practice of multiple sequence alignment
Module #6
Phylogenetic Analysis
Introduction to phylogenetic analysis, trees, and inference
Module #7
Genome Assembly
Overview of genome assembly, algorithms, and tools
Module #8
RNA-Seq Data Analysis
Introduction to RNA-Seq data analysis, tools, and pipelines
Module #9
ChIP-Seq Data Analysis
Introduction to ChIP-Seq data analysis, tools, and pipelines
Module #10
Structural Bioinformatics
Introduction to structural bioinformatics, protein structure prediction
Module #11
Functional Genomics
Introduction to functional genomics, gene expression analysis
Module #12
Microarray Data Analysis
Introduction to microarray data analysis, tools, and pipelines
Module #13
Protein-Protein Interactions
Introduction to protein-protein interactions, network analysis
Module #14
Computational Tools for Bioinformatics
Introduction to command-line tools, scripting, and workflow management
Module #15
Bioinformatics Programming
Introduction to programming for bioinformatics, Python, R, and Perl
Module #16
Data Visualization in Bioinformatics
Introduction to data visualization, tools, and best practices
Module #17
Statistical Analysis in Bioinformatics
Introduction to statistical analysis, hypothesis testing, and confidence intervals
Module #18
Machine Learning in Bioinformatics
Introduction to machine learning, supervised and unsupervised methods
Module #19
Deep Learning in Bioinformatics
Introduction to deep learning, neural networks, and applications
Module #20
Big Data in Bioinformatics
Introduction to big data, Hadoop, Spark, and NoSQL databases
Module #21
Cloud Computing for Bioinformatics
Introduction to cloud computing, AWS, Azure, and Google Cloud
Module #22
Bioinformatics Project Development
Guided project development, from concept to implementation
Module #23
Bioinformatics in Disease Research
Applications of bioinformatics in disease research, personalized medicine
Module #24
Course Wrap-Up & Conclusion
Planning next steps in Bioinformatics career


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