Section outline

  • Graphical presentation of biological data

    Fribourg, 27 June 2013

    Representing statistical data graphically is an important task for any scientist presenting his work. Most of the time, scientific results are (or should be) conveyed through graphics, and the ability to convince other researchers of the interest of this work depends critically on the clarity and quality of these images. In practice, these important graphics are almost always created by following two very simple, but inefficient, rules: firstly, do whatever your colleagues have been doing in the past, and secondly, use the default types of graphics and options suggested by the software you are using.

    During this workshop, we will discuss different ways for representing data, how to choose among them, what are error bars and why you should avoid using them, how to design efficient graphs, technical tools, good practices for plotting data, and common mistakes to avoid.

    Please contact Frédéric Schütz if you have any question about the content, and Laurent Falquet if you have questions about the course organization.

    Requirements

    There is no pre-requisite for this course. The number of seats is limited, and they will be attributed on a "first come, first serve" basis.

    Cost

    This workshop is free for Swiss academic participants. Please contact us if you are from the industry or from outside Switzerland.

    Registration

    Registration is closed. To receive information about the courses and workshops organized by the Swiss Institute of Bioinformatics, please subscribe to our mailing-list.

    Practical organization - Location and schedule

    This one-day course is held in at the University of Fribourg, on the site of Perolles.
    You can reach it (stop "Charmettes") by bus Nr 1, 3 or 7 from the train station (5min) or by walking (15min).

    Location:

    • Université de Fribourg
    • Building PER-04 Seminar room O.109

    Sessions runs from 9:00 to 17:00 approximately, with a lunch break.