Webinar on Reproducible Research (Episode VI): Reproducible Science in Bioinformatics: Current Status, Solutions and Research Opportunities (Sarah Cohen Boulakia, Yvan Le Bras and Bruno Chopard)

To improve our practice in terms of reproducible research, we organize a series of webinars where we share our experience and thoughts and on those different themes. 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 talk, Sarah Cohen Boulakia, Yvan Le Bras and Bruno Chopard will provide an overview of such issues.

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.

All the information are gathered here: https://github.com/alegrand/RR_webinars.