Yoan RENAUDprofile picture

My research began in IT where I am interested in issues related to algorithmic and data mining. So I could understand various data structures such as Lattices and develop new methods related to Machine Learning. I particularly focused on issues of mixed association rules generation and the implementation of interesting discovery languages ​​ from large amounts of data patterns.

Then, I turned to bioinformatics in order to apply my knowledge of IT specific issues.
So I have developed a web platform for visualizing protein protein interactions specifc to the Drosophil model. I also discovered and applied various analytical techniques associated with the various types of sequencing and as a consequence enhance my knowledge in biology.


Identify genetic signatures of diversifying muscle cells : Applications and Implementations of bioinformatics methods.

My project aims to characterize and identify genetic signatures of diversification of muscle cells. We want to use the  Drosophila muscular embryonic system  as a model to discover genes that control the acquisition of specific properties of muscle cells. In this context , the application of new approaches such as TRAP and BiTSChIP allows us to collect various data.

A first axis of this project will consist of analyzing these data. in this way,  bioinformatics protocols for  data analysis will be implemented and lead to the construction of mathematical models for a comprehensive representation of different diversification mechanisms ( regulatory networks, ... ) .

A second, more technical component will involve the implementation, development and diffusion of ergonomic tools  issues associated with cell diversification.

A final theoretical focus will be to find new structural and algorithmic solutions related to machine learning about cell diversification to optimize knowledge discovery .


  • 2018
    • L. Picchio, V. Legagneux, S. Deschamps, Y. Renaud, S. Chauveau, L. Paillard and K. Jagla, “Bruno-3 regulates sarcomere component expression and contributes to muscle phenotypes of myotonic dystrophy type 1.”, Disease models & mechanisms, vol. 11 (5) , 2018.
  • 2015
  • 2014
  • 2013
    • L. Picchio, E. Plantie, Y. Renaud, P. Poovthumkadavil and K. Jagla, “Novel Drosophila model of myotonic dystrophy type 1: phenotypic characterization and genome-wide view of altered gene expression.”, Hum. Mol. Genet., vol. 22 (14) , pp. 2795–810, 2013.
  • 2012
    • Y. Renaud, A. Baillif, J. Perez, M. Agier, E. Mephu Nguifo and V. Mirouse, “DroPNet: a web portal for integrated analysis of Drosophila protein-protein interaction networks.”, Nucleic Acids Res., vol. 40 (Web Server issue) , pp. W134–9, 2012.