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10 Modules / ~100 pages
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~25 Modules / ~400 pages
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Introduction to Bioinformatics
( 25 Modules )

Module #1
Introduction to Bioinformatics
Overview of bioinformatics, its importance, and applications
Module #2
Biological Databases
Introduction to biological databases, types, and examples (GenBank, UniProt, etc.)
Module #3
Sequence Alignment
Basics of sequence alignment, types (global and local), and algorithms ( Needleman-Wunsch, Smith-Waterman)
Module #4
BLAST and Sequence Comparison
Introduction to BLAST, types of BLAST searches, and sequence comparison tools
Module #5
Phylogenetics and Phylogenetic Trees
Introduction to phylogenetics, types of phylogenetic trees, and tree reconstruction methods
Module #6
Molecular Biology and Genomics
Overview of molecular biology and genomics, including DNA structure, replication, and gene expression
Module #7
Genomic Data Analysis
Introduction to genomic data analysis, including assembly, annotation, and functional analysis
Module #8
Gene Expression Analysis
Introduction to gene expression analysis, including microarray and RNA-seq data analysis
Module #9
Protein Structure and Function
Introduction to protein structure, function, and prediction methods
Module #10
Protein-Protein Interactions and Networks
Introduction to protein-protein interactions, network analysis, and prediction methods
Module #11
Bioinformatics Tools and Resources
Overview of popular bioinformatics tools and resources ( Taverna, Galaxy, etc.)
Module #12
Programming for Bioinformatics
Introduction to programming languages (Python, R, etc.) for bioinformatics
Module #13
Biological Pathway Analysis
Introduction to biological pathway analysis, including pathway databases and visualization tools
Module #14
Functional Genomics and Systems Biology
Introduction to functional genomics and systems biology, including genome-scale models and simulations
Module #15
Machine Learning in Bioinformatics
Introduction to machine learning concepts and applications in bioinformatics
Module #16
Next-Generation Sequencing (NGS) Data Analysis
Introduction to NGS data analysis, including quality control, trimming, and alignment
Module #17
Epigenomics and Epigenetics
Introduction to epigenomics and epigenetics, including epigenetic marks and gene regulation
Module #18
Single-Cell Analysis and Omics Technologies
Introduction to single-cell analysis, including scRNA-seq and omics technologies
Module #19
Bioinformatics for Precision Medicine
Introduction to bioinformatics for precision medicine, including genomic medicine and personalized genomics
Module #20
Computational Systems Biology
Introduction to computational systems biology, including modeling and simulation of biological systems
Module #21
RNA Biology and RNAseq Data Analysis
Introduction to RNA biology, including RNAseq data analysis and functional analysis
Module #22
Computational Immunology
Introduction to computational immunology, including immunogenomics and vaccine design
Module #23
Bioinformatics for Infectious Diseases
Introduction to bioinformatics for infectious diseases, including genomics and surveillance
Module #24
Cancer Genomics and Bioinformatics
Introduction to cancer genomics and bioinformatics, including tumor genomics and precision oncology
Module #25
Course Wrap-Up & Conclusion
Planning next steps in Introduction to Bioinformatics career


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