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Principles of Bioinformatics- Period 1
OVERVIEW
CEA CAPA Partner Institution: Vrije Universiteit Amsterdam
Location: Amsterdam, Netherlands
Primary Subject Area: Biology
Instruction in: English
Course Code: X_401094
Transcript Source: Partner Institution
Course Details: Level 300
Recommended Semester Credits: 3
Contact Hours: 84
Prerequisites: An interest in programming and biological problems.
DESCRIPTION
Theory:
- Evolution, Genomes, Sequences, Biomolecular Structure, Biological Databases BLAST & PSI-BLAST, Protein domains & evolution, Next Generation Sequencing (NGS) or Massively Parallel Sequencing (MPS) and analysis
Practical:
There are practicals sessions that aim to show you both existing solutions as well as open problems within the field of Bioinformatics. In the practicals you use existing databases and (web-server) solutions to solve biological problems. You will also use python scripts to automate queries to databases and web servers to investigate the value of current Bioinformatics Algorithms.
The following topics are covered:
- A short introduction to Python
- Data resources in for the Life Sciences, including: Gene Ontology Database (GO), Pfam and SCOP
- Homology Searching ( BLAST / PSI-BLAST )
- Dynamic Programming
- Benchmarking
- Computational Analysis of Genome Sequencing (Genome Assembly)
- Recent research in Bioinformatics
Contact hours listed under a course description may vary due to the combination of lecture-based and independent work required for each course therefore, CEA's recommended credits are based on the ECTS credits assigned by VU Amsterdam. 1 ECTS equals 28 contact hours assigned by VU Amsterdam.
Course includes a lab component.
- Evolution, Genomes, Sequences, Biomolecular Structure, Biological Databases BLAST & PSI-BLAST, Protein domains & evolution, Next Generation Sequencing (NGS) or Massively Parallel Sequencing (MPS) and analysis
Practical:
There are practicals sessions that aim to show you both existing solutions as well as open problems within the field of Bioinformatics. In the practicals you use existing databases and (web-server) solutions to solve biological problems. You will also use python scripts to automate queries to databases and web servers to investigate the value of current Bioinformatics Algorithms.
The following topics are covered:
- A short introduction to Python
- Data resources in for the Life Sciences, including: Gene Ontology Database (GO), Pfam and SCOP
- Homology Searching ( BLAST / PSI-BLAST )
- Dynamic Programming
- Benchmarking
- Computational Analysis of Genome Sequencing (Genome Assembly)
- Recent research in Bioinformatics
Contact hours listed under a course description may vary due to the combination of lecture-based and independent work required for each course therefore, CEA's recommended credits are based on the ECTS credits assigned by VU Amsterdam. 1 ECTS equals 28 contact hours assigned by VU Amsterdam.
Course includes a lab component.
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