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5 materials found

Contributors: Gautier Sarah  or Jeroen Gilis 


PSLS22 Practical Statistics for the Life Sciences

The concepts and methods are exclusively introduced via case-studies in the life sciences. For every study we elaborate on a concrete research question and then provide a study design, which is followed by data exploration. Next, we will focus on how to model the data and elaborate on the link...

FAIR data - Module 4 (share and publish data)

Partager et diffuser les données. Le cadre juridique, les entrepôts et les licences sur les données

Scientific topics: Data management, Biology, Bioinformatics

Keywords: data sharing, Data publishing, legal framework, data warehouse, licensing, data reuse

Resource type: Slides

FAIR data - Module 3 (Metadata)

Les Métadonnées : les standards du domaine des données omiques en biologie et séances pratiques d’annotations de jeux de données

Scientific topics: Data management, Biology, Bioinformatics

Operations: Data handling

Keywords: metadata, data annotation, life science standards, data sharing

Resource type: Slides

FAIR data - Module 1 (research data)

Research data and their centrality in the research process.
This material is mostly in French.

Keywords: metadata, Data Life Cycle, Reproducibility, Data management plan

Resource type: Slides

PSLS20 - Practical Statistics for the Life Sciences (2020)

This intermediate level course is one of our Foundations courses. It covers essential statistical concepts and methods for extracting insights from empirical data in the life sciences. The course positions applied statistics, starting from important aspects of experimental design and data...

Keywords: Statistics, General Linear Models

Resource type: Documentation, Exercise, Handout, Scripts