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| INFO0115-1 | Introduction to the analysis of biological data
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| Duration : | 20h Th, 30h Pr |
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| Number of credits : |
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| Lecturer : | Damien Sirjacobs |
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Language(s) of instruction :
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| French language |
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Organisation and examination :
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| Teaching in the first semester, review in January |
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Course contents :
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| 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, exploration and reduction of multivariate data sets by PCA) to the implementation of integrated analysis solutions required by specific problems such as :
- differential gene expression revealed by the Affimetrix-type MicroArrays technique (description, filtering, clustering, statistical analysis, visualization)
- issues of macro-ecology and autecology addressed from imagery and data fields analysis.
Specifically, the course will focus on the use of the R language and several of its software packages. According to the progress and needs of students, the software Octave (free version of Matlab) may also be used.
There will be very little theory per se, but rather a series of biological questions to solve on the computer (individually or in group). |
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Learning outcomes of the course :
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| 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.
This course will contribute to the overall learning objectives defined by Prof. Denis Baurain for his courses "Introduction to Programming in Linux" [INFO0097-1], "Introduction to databases for biology" [INFO0099-1], "Introduction to Algorithms for Bioinformatics" [INFO0094-2] - provided as part of the M2-BBMC specialization in bioinformatics. |
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Prerequisites and co-requisites/ Recommended optional programme components :
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| Students are encouraged to review the basics they may have already acquired in the following areas: statistics, genomics, bioinformatics, image analysis and programming (if possible). |
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Planned learning activities and teaching methods :
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| Mini theoretical lectures, demonstrations and step by step exercises, practical work on computer with challenges to solve and independent practice, self-learning (manuals and online tutorials). |
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Mode of delivery (face-to-face ; distance-learning) :
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| This course is partly face-to-face, but as a problem-oriented course, it will require work outside of the classroom, as well as the redaction of a small report. |
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Recommended or required readings :
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Assessment methods and criteria :
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| The course evaluation will be based on the active attendance and the progress made ¿¿during sessions (30%), the quality of the final report (30%) and an oral examination (40%) . |
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Work placement(s) :
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Organizational remarks :
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| The use of a laptop is required at all sessions to follow demonstrations and conduct personal programming exercises. |
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Contacts :
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| Dr. Damien Sirjacobs
Institut de Botanique B22 (P70)
04/366.38.54
D.Sirjacobs@ulg.ac.be |
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