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Fundamentals of BioInformatics
OVERVIEW
CEA CAPA Partner Institution: Universidad Carlos III de Madrid
Location: Madrid, Spain
Primary Subject Area: Biomedical Engineering
Instruction in: English
Course Code: 16807
Transcript Source: Partner Institution
Course Details: Level 400
Recommended Semester Credits: 3
Contact Hours: 42
Prerequisites: - Aprendizaje Automático
- Programación
DESCRIPTION
This course aims to serve as an introduction to data science for genomic data. We will introduce basic algorithms for the genome sequencing, comparison of DNA sequences or proteins and the analysis of databases with the genomic profile of different patients for the extraction of information.
1. Computational methods (algorithms and data structures) for analyzing and performing DNA data sequencing.
2. Advanced statistical methods for the analysis of genomic data.
3. Statistical tests for the extraction of conclusions.
4. Projects with real databases
1. Computational methods (algorithms and data structures) for analyzing and performing DNA data sequencing.
2. Advanced statistical methods for the analysis of genomic data.
3. Statistical tests for the extraction of conclusions.
4. Projects with real databases
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