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Coursebooks
Genomics and bioinformatics
BIO-463
Lecturer(s) :
Rougemont JacquesLanguage:
English
Summary
This course reviews the different techniques of DNA sequence analysis and the associated bioinformatics tools in the context of applications to current research in molecular biology.Content
- Genome sequencing and assembly
- Genome annotation, gene prediction
- Hidden Markov Models
- Comparative genomics
- Phylogenetic trees
- Models of molecular evolution
- Transcription
- Gene expression profiling
- Gene regulation
- Chromosome conformation
Learning Prerequisites
Recommended courses
Molecular biology, genetics, linear algebra, ordinary differential equations, basic statistics, computer programming
Important concepts to start the course
DNA and RNA, replication, transcription and translation.
Teaching methods
2 hours lecture (theoretical concepts) followed by 2 hours practical exercises (review the theory and practice with bioinformatics tools and data)
Lecture notes, slides and exercises provided on Moodle.
Assessment methods
1 mid-term written test covering lectures from week 1 to 7, one personal project based on the analysis of published data, each counts for 50% of the grade.
Resources
Bibliography
- A primer of genome science / Greg Gibson, Spencer V. Muse
- Bioinformatics: sequence and genome analysis / David W. Mount
- Bioinformatics and functional genomics / Jonathan Pevsner
- Biological sequence analysis: probabilistic models of proteins and nucleic acids / Richard Durbin
In the programs
- SemesterSpring
- Exam formDuring the semester
- Credits
4 - Subject examined
Genomics and bioinformatics - Lecture
2 Hour(s) per week x 14 weeks - Exercises
2 Hour(s) per week x 14 weeks
- Semester
- SemesterSpring
- Exam formDuring the semester
- Credits
4 - Subject examined
Genomics and bioinformatics - Lecture
2 Hour(s) per week x 14 weeks - Exercises
2 Hour(s) per week x 14 weeks
- Semester
- SemesterSpring
- Exam formDuring the semester
- Credits
4 - Subject examined
Genomics and bioinformatics - Lecture
2 Hour(s) per week x 14 weeks - Exercises
2 Hour(s) per week x 14 weeks
- Semester
- SemesterSpring
- Exam formDuring the semester
- Credits
4 - Subject examined
Genomics and bioinformatics - Lecture
2 Hour(s) per week x 14 weeks - Exercises
2 Hour(s) per week x 14 weeks
- Semester
- SemesterSpring
- Exam formDuring the semester
- Credits
4 - Subject examined
Genomics and bioinformatics - Lecture
2 Hour(s) per week x 14 weeks - Exercises
2 Hour(s) per week x 14 weeks
- Semester
- SemesterSpring
- Exam formDuring the semester
- Credits
4 - Subject examined
Genomics and bioinformatics - Lecture
2 Hour(s) per week x 14 weeks - Exercises
2 Hour(s) per week x 14 weeks
- Semester
- SemesterSpring
- Exam formDuring the semester
- Credits
4 - Subject examined
Genomics and bioinformatics - Lecture
2 Hour(s) per week x 14 weeks - Exercises
2 Hour(s) per week x 14 weeks
- Semester
Reference week
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| 20-21 | |||||
| 21-22 |
Under construction
Lecture
Exercise, TP
Project, other
legend
- Autumn semester
- Winter sessions
- Spring semester
- Summer sessions
- Lecture in French
- Lecture in English
- Lecture in German