University of Liege | Version française
Academic year 2014-2015Value date : 12/05/2015
INFO0094-3  Introduction to algorithms in bioinformatics

Duration :  20h Th, 30h Mon. WS
Number of credits :  
Master en biochimie et biologie moléculaire et cellulaire, à finalité spécialisée en bioinformatique et modélisation, 2nd year5
Lecturer :  Denis Baurain, Patrick Meyer
Coordinator :  Denis Baurain
Language(s) of instruction :  
French language
Organisation and examination :  
Teaching in the second semester
Course contents :  
  • prediction of RNA secondary structure
  • sequence alignment
  • heuristics for sequence alignment
  • phylogenetic reconstruction
  • motif finding
  • fragment assembly
Learning outcomes of the course :  
This course is the third of three courses -- "Introduction to linux programming" [INFO0097-2], "Introduction to databases for biology" [INFO0099-2], "Introduction to algorithms in bioinformatics" [INFO0094-3] -- taught by the same teacher in the context of the specialized approach in bioinformatics of M2-BBMC. The course "Introduction to biological data analysis" [INFO0115-2] by Prof. Patrick Meyer shares the same goals. At the end of this series of courses, students will be able to use the computer as a scientific instrument. More specifically, they will have been trained towards the following objectives: 1. Experimental design
  • how to choose appropriate controls
  • how to think in a statistical framework
2. Conducting experiments
  • how to run large series of analyzes
  • how to harness the power of grid computing
3. Interpretation of results
  • how to automate the analysis of output files
  • how to generate informative but nice looking graphs
  • how to draw statistically sound conclusions
4. Documentation and archiving
  • how to document experimental protocols
  • how to reorganize a series of past analyzes
  • how to manage multiple versions of the data sets, of the required programs and of the generated results
Prerequisites and co-requisites/ Recommended optional programme components :  
This course is part of a specialized approach in bioinformatics. Even if it requires no special knowledge in computer science, it is nevertheless based on the Genomics [GENE0003-1] and Bioinformatics [BIOL0008-1] courses of the M1-BBMC.
Planned learning activities and teaching methods :  
  • brief theoretical lectures
  • challenges to solve
  • computer practicals
  • self-learning (textbooks and online tutorials)
Mode of delivery (face-to-face ; distance-learning) :  
This course is partly face-to-face but as a problem-oriented course, it will require that students work also outside of the classroom.
Recommended or required readings :  
This course is based on a reference book [RA Dwyer (2003) Genomic Perl, Cambridge University Press].
Assessment methods and criteria :  
Course assessment will be based on both the work carried out during the academic year and the development of a personal project, in principle distinct from the Master's thesis.
Work placement(s) :  
Organizational remarks :  
Taking notes on a laptop or tablet is allowed. However, students are expected not to surf or chat in the classroom.
Contacts :  
Prof. Denis Baurain Institut de Botanique B22 (P70) denis.baurain@ulg.ac.be
Prof. Patrick Meyer Institut de Botanique B22 (P70) homepage.meyerp.com/contact
Assistant: Dr. Damien Sirjacobs Institut de Botanique B22 (P70) 04/366.38.54 D.Sirjacobs@ulg.ac.be



Home

Bachelors, masters, advanced master et AESS

Lifelong Learning Education

Doctorat (Ph.D.)

Search by teacher

Search by course code and title

Students and Studies Administration - Academic Affairs - Contact : Monique Marcourt, General Director for Education and Training - Developed by SEGI