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Prerequisites
Arash Bagherabadi edited this page Aug 18, 2024
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This section will guide you through the essential prerequisites required to start your journey in Bioinformatics and Computational Biology. These are divided into several subcategories based on different fields of study.
- Molecular and Cellular Biology: Understanding of DNA, RNA, proteins, and gene expression.
- Genetics and Genomics: Basics of inheritance, genetic variation, and genomic sequencing.
- Biochemistry: Structure and function of macromolecules.
- Biophysics
- Immunology
- Python for Bioinformatics: Basic syntax, data structures, and scripting for data analysis.
- R for Statistical Computing: Basic syntax, data structures, and scripting for data analysis.
- Bash Scripting: Command-line operations in Unix/Linux.
- Version Control (Git, GitHub, GitLab, Bitbucket): Managing code and collaborations.
- Other Languages and Best Practices in Coding
- Linear Algebra: Vectors, matrices, and operations.
- Calculus: Differential calculus and integral calculus.
- Algorithms and Data Structures
- Discrete Mathematics: Combinatorics, graph theory, algorithms.
- Probability and Statistics
- Advanced Statistical Methods
- Collaboration with Multidisciplinary Teams
- Effective Communication of Scientific Research
- Real-World Applications of Bioinformatics
- Case Studies in Genomics, Proteomics, etc.
- Hands-On Projects with Public Datasets (NCBI, EMBL, TCGA)
- Recommended Platforms and Software (Galaxy, Cytoscape)