Register training material
6 materials found

Contributors: Janick Mathys  or Hélène Chiapello 


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 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

Introduction to Protein Structure Analysis

This training session will provide the basics of protein structure determination and how this information is stored in databases. We will explore and search in online databases containing protein structure information. With the aid of the Yasara View program we will visualize the structure....

Operations: Visualisation

Keywords: Protein structure visualisation

Resource type: e-learning

IFB Shiny training

Course organised by the French Institute of Bioinformatics (IFB) with the help of the Swiss Institute of Bioinformatics (SIB) in french
- 1st edition: 9-10 July 2019, Institut Pasteur (trainer: Frédéric Schütz)
- 2nd edition: 12-13 September 2019, Institut Pasteur (trainers: Christophe Malabat...

Keywords: R-programming, Reproducible Science

FAIR principles applied to bioinformatics

The French Institute of Bioinformatics (IFB) has organised in partnership with the Institute of Integrative Biology (I2BC) a training course for bioinformaticians and biostatisticians wishing to implement the "FAIR" principles (Findable, Accessible, Interoperable, Reusable) in their analysis and...

Keywords: FAIR, Reproducible Science, Open science, Data analysis, Data processing

Resource type: Training materials

Bioinformatics Summer School 2019

This one-week intensive summer school in bioinformatics will focus on data analysis and high throughput biology, with a special focus on R/Bioconductor and its application to a wide range of topics across bioinformatics and computational biology. The course is intended for researchers who are...

Scientific topics: Statistics and probability, Omics, RNA-Seq, Proteomics

Operations: Data handling