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PLoS Comput Biol. 2018 Mar 15;14(3):e1005992. doi: 10.1371/journal.pcbi.1005992. eCollection 2018 Mar.

Meet-U: Educating through research immersion.

Author information

1
Departments of Computer Science and of Life Sciences, Sorbonne Université (SU) / UPMC, Paris, France.
2
Department of Biology and of Computer Science, Univ. Paris-Sud, Université Paris-Saclay (UPSay), Orsay, France.
3
Unit of Structural Dynamics of Macromolecules, CNRS, Institut Pasteur, Paris, France.
4
Institute for Integrative Biology of the Cell (I2BC), IBITECS, CEA, CNRS, Univ. Paris-Sud, UPSay, Gif-sur-Yvette cedex, France.
5
AMIBio team, Laboratoire d'informatique de l'École polytechnique (LIX, UMR 7161) / Inria Saclay, UPSay, Palaiseau, France.
6
Laboratoire de Biochimie Théorique, UPR 9080 CNRS Institut de Biologie Physico-Chimique, Paris, France.
7
Sorbonne Université / UPMC, CNRS, IBPS, Laboratoire de Biologie Computationnelle et Quantitative (LCQB), UMR 7238, Paris, France.
8
Institut Universitaire de France.
9
LRI, Univ. Paris-Sud, CNRS, UPSay, Orsay, France.
10
Sorbonne Université / UPMC, Univ. Antilles, Univ. Nice Sophia Antipolis, CNRS, Evolution Paris Seine - Institut de Biologie Paris Seine (EPS - IBPS), Paris, France.
11
Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Univ. Paris-Sud, UPSay, Gif-sur-Yvette cedex, France.
12
Department of Structural Biology and CheImistry (CNRS UMR3528) - Center of Bioinformatics, Biostatistics and Integrative Biology (CNRS USR3756) - Structural Bioinformatics Unit, Institut Pasteur, Paris, France.
13
MaIAGE, INRA, UPSay, Jouy-en-Josas, France and LIMSI, CNRS, UPSay, Orsay, France.
14
Sorbonne Université / UPMC, Ecole Normale Supérieure - PLS Research University, Département de Chimie, CNRS, Laboratoire des Biomolécules, UMR 7203 - Univ. Paris Diderot, Sorbonne Paris Cité, Paris, France.
15
Mitochondria, Metals and Oxidative Stress Group, Institut Jacques Monod, UMR 7592, Univ. Paris Diderot, CNRS, Sorbonne Paris Cité, Paris, France.

Abstract

We present a new educational initiative called Meet-U that aims to train students for collaborative work in computational biology and to bridge the gap between education and research. Meet-U mimics the setup of collaborative research projects and takes advantage of the most popular tools for collaborative work and of cloud computing. Students are grouped in teams of 4-5 people and have to realize a project from A to Z that answers a challenging question in biology. Meet-U promotes "coopetition," as the students collaborate within and across the teams and are also in competition with each other to develop the best final product. Meet-U fosters interactions between different actors of education and research through the organization of a meeting day, open to everyone, where the students present their work to a jury of researchers and jury members give research seminars. This very unique combination of education and research is strongly motivating for the students and provides a formidable opportunity for a scientific community to unite and increase its visibility. We report on our experience with Meet-U in two French universities with master's students in bioinformatics and modeling, with protein-protein docking as the subject of the course. Meet-U is easy to implement and can be straightforwardly transferred to other fields and/or universities. All the information and data are available at www.meet-u.org.

PMID:
29543809
PMCID:
PMC5854232
DOI:
10.1371/journal.pcbi.1005992
[Indexed for MEDLINE]
Free PMC Article

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