Study Programmes 2016-2017
STAT0077-1  
Computing analysis and processing of biological data
Duration :
25h Th
Number of credits :
Bachelor in biology2
Master in biochemistry and molecular and cell biology (120 ECTS)2
Master in biology of organisms and ecology (120 ECTS)2
Lecturer :
Patrick Meyer
Language(s) of instruction :
French language
Organisation and examination :
Teaching in the second semester
Units courses prerequisite and corequisite :
Prerequisite or corequisite units are presented within each program
Learning unit contents :
In various fields of biology, the evolution of technology results in the production of larger raw data sets. The course will consist of a hands-on discovery of computational and statistical tools suitable for the analysis of important biological data sets.
Various concepts will be reviewed through exercices, from general concepts (vectors and matrices, tests of normality, equivalence testing) to the implementation of integrated analysis solutions required by specific problems
Specifically, the course will focus on the use of the R language. The professor is a contributor of R through packages available since 2007.
Learning outcomes of the learning unit :
Reflexes and practical autonomy needed to address the processing and analysis of complex biological data sets with the R software, from multi source data compilation to the summary statistics and results visualization. Ability to plan the different stages of a data analysis.
Prerequisite knowledge and skills :
Students are encouraged to review the basics they may have already acquired in the following areas: statistics and programming.
Planned learning activities and teaching methods :
Mini theoretical lectures, demonstrations and step by step exercises, practical work on computer.
Mode of delivery (face-to-face ; distance-learning) :
This course is mainly practical during the lecture.
Recommended or required readings :
Getting Started with R: An Introduction for Biologists (Oxford Biology 2012) by Andrew P. Beckerman and Owen L. Petchey
Assessment methods and criteria :
Each student is evaluated through a practical exam, in the computer room with questions quite similar to those presented during the practical sessions. Typically a few theoretical questions can be inserted in the exam.
An individual project will impact the final score /20 (-1,0,+1). It will consist in solving a few practical exercises.
The exam is partly "open book". The exercises and the slides of the course will be made available to the student during the exam, by the professor. However, all other sources of information (written course, books, internet,...) are forbidden.
The exam last two hours (extendable at 3h30 but at some cost).
It is a written exam (using computers).
Work placement(s) :
Organizational remarks :
All the courses will be given in the computer room of bldg B22 (Labo B, floor -1).
Contacts :
Prof. Patrick Meyer Life Sciences Department
Bdg B22, room 3/03 Campus du Sart-Tilman  Chemin de la Vallée, 4 4000 Liège - Belgique
Tel: 04/366 3030 email:  patrick.meyer@ulg.ac.be(Patrick.Meyer@ulg.ac.be   )
Teaching Assistant:
Damien Sirjacobs ( d.sirjacobs@ulg.ac.be )