I am a PhD student in bioinformatics at both INRAE and IRISA, supervised by Florence Gondret and Emmanuelle Becker.
My research subject concerns the integration and analysis of heterogeneous biological data modelled with multiplex graphs applied to understand and predict variations in feeding efficiency. The objective is to identify networks of molecules to explain an animal phenotype, by considering different levels of organization of the living, using statistics and then by analyzing multilayer graphs. This second approach has the advantage of adopting a holistic view on biological organization by integrating different omic levels. This allows to get closer to reality by considering things as a whole and linked together.
In this case of application, understanding the valorization of food resources by the animal will lead to a saving of resources and a reduction of discharges and effluents into the environment.
mail : camille dot juigne at irisa dot fr
- Dyliss Team, INRIA/Irisa – Campus de Beaulieu, 35042 RENNES Cedex – France
Croissance Team, INRAE Pegase - 16 Le Clos Domaine de, La Prise, 35590 Saint-Gilles
- ORCID : 0000-0003-1157-9030
2020 - 2023 : PhD in bioinformatics
“Analysis of heterogeneous biological data modelled with multiplex graphs and applied for a better understanding of variations in feed efficiency of growing pigs” at INRAE UMR PEGASE (Physiology, Environment and Genetics for Animals and Breeding Systems) and IRISA in Team Dyliss (DYnamics, Logics and Inference for biological Systems and Sequences)
2016 – 2019 : Advanced National College of Applied Science and Technology (Enssat Lannion)
Diplôme d’ingénieur in Computer Science, Machine Learning, Graph Theory, Software development, Web development, Object Oriented development, Probabilities and Statistics, Project Management
The “Software and Computing” specialised course is a very complete training in computer science. It offers a strong skillsets in the fields of software engineering (methods, algorithms, languages and tools), communication systems, man-to-machine interactivity and data management (data mining, Big Data, artificial intelligence).
Activities and associations :
- Member of the student association (2017-2018), responsible for organising events and student celebrations
- Member of ‘BDA Enssat’ (2017-2018) a club aiming at promotiong artistic and cultural events in school life
2018 - 2019 : Université du Québec à Montréal (UQAM)
Master in Computer Science, Machine Learning, Data Mining, Big Data, Intelligent Tutoring System (ITS) and Bioinformatics
2014 - 2016 : Montesquieu high school Le Mans
Preparatory classes for engineering schools, bachelor’s degree in Mathematics, Physics, Engineering and Computer Science
- feb-nov 2020 : Research Engineer
- IRISA/INRIA équipe Dyliss (DYnamics, Logics and Inference for biological Systems and Sequences)
- INRAE Micalis (MICrobiologie de l’ALImentation au Service de la Santé Humaine)
- may-oct 2019 : Intership “Integration and formal analysis of the ubyquitin interaction network” co-supervized by Emmanuelle Becker, Gwenaël Rabut and Olivier Dameron
Protein–protein interactions are essential to ensure biologic processes, analysing them and considering the cells as an inner system provide us to understand these related processes.The biggest challenge is to discover all these interactions. Until recently, large scale sieve have been made using different methods. However, each one of these methods has its flaws and introduce detection bias. That is why we have been studying new methods to detect these interactions and that we have been extracting all the possible protein-protein interactions of the ubiquitine system in order to analyse them using formal methods. The ubiquitin system governs the stability, activity and abundance of proteins in cells. Aberrations in the ubiquitin system may be linked to multiple pathologies and are particularly involved in human diseases such as cancer and neurodegenerative disorders.
- Towards a reproducible interactome: semantic-based detection of redundancies to unify protein-protein interaction databases. Marc Melkonian, Camille Juigné, Olivier Dameron, Gwenaël Rabut, Emmanuelle Becker. In Bioinformatics, Volume 38, Issue 6, 15 March 2022, Pages 1685–1691, DOI
- Journées Numériques et Environnement de l’Inria, Rennes, 2022.
- Bases de données relationnelles, ENSAI, 2021-2023
- C++ pour la statistique computationelle, ENSAI, 2021-2022
- Données semistructurées et bases de données, Rennes 1, 2022-2023
- Python, ENSAI 2022-2023
2021-today Reading Circle
member of the organization team of the 4th, 5th and 6th edition, participant since the 3rd edition
A reading circle for young researchers (PhD students and Postdocs) to read books on feminist topics within Computer Science together and share our thoughts and experiences.
2021-today Gender Equality Commission
oct-dec 2021 & feb-may 2021
Computer science and Python initiation for middle school girls (Introduction to computational thinking through creative programming).
(todo) Transpose Galaxy workflows in CWL :
Mentor in a team programming competition for high school girls. Students develop web micro-services around a theme chosen by a jury of computer scientists.
2017 Smart-Agri Challenge
Challenge on the theme “Digital technology serves Agriculture”, an experience of entrepreneurship training (working in a project team, being creative, testing, experimenting, being coached by professionals, confronting the field). The objective is to imagine an innovative solution, including digital, for business needs in agriculture.