This talk will be given by Sarah Cohen Boulakia, Yvan Le Bras and Jérôme Chopard.

Typical analysis processes in bioinformatics and computational biology are complex, multi-staged, and large and may involve massive and highly heterogeneous data sets. Ensuring reproducible bioinformatics analyses is both increasingly important and highly difficult to achieve.

In this webinar, our aim is three-folds.

1- After a quick presentation of the current status of reproducibility in bioinformatics and computational biology, we’ll provide a global picture of the approaches and types of solutions currently in use in the bioinformatics community.

2- We will then consider two real use cases of biological data analyses, demonstrated on two very popular scientific workflow systems, namely, Galaxy and OpenAlea. We’ll see how complementary such systems may be and how they help end-users deal with several levels of reproducibility (from redoing the exact same analysis, to replicate it in similar contexts, to reproduce the same results considering alternative methodologies).

3- We will wrap up the webinar by highlighting needs and draw research opportunities for the computer science and bioinformatics communities.