Nicolas Guillaudeux
Ph.D, Univ Rennes, Inria, CNRS, IRISA
Research
- Ph. D thesis in Bioinformatics: To compare gene structures for prediction of alternative coding transcripts in human, mouse and dog, Oct. 2018 – Dec. 2021, supervised by Olivier Dameron, Catherine Belleannée and Samuel Blanquart.
Formation
- Master’s degree in Bioinformatics: Master Bioinformatique (2016-2018, Rennes)
Publications
Journal articles
- 2018 – Méziane Aite, Marie Chevallier, Clémence Frioux, Camille Trottier, Jeanne Got, María Paz Cortés, Sebastián N Mendoza, Gregory Carrier, Olivier Dameron, Nicolas Guillaudeux, Mauricio Latorre, Nicolas Loira, Gabriel V Markov, Alejandro Maass, Anne Siegel – Traceability, reproducibility and wiki-exploration for “à-la-carte” reconstructions of genome-scale metabolic models. PLoS Computational Biology, Public Library of Science, 2018, 14 (5), pp.e1006146. 〈10.1371/journal.pcbi.1006146〉
Scientific Communication
Poster communications
- Nicolas Guillaudeux, Catherine Belleannée, Samuel Blanquart, and Jean-Stéphane Varré – Predicting isoform transcripts: What does the comparison of known transcripts in human, mouse and dog tell us?. F1000Research, 2019, 8. (10.7490/f1000research.1117311.1)
- 2019 – Poster at Jobim 2019 – July 2nd-5th 2019 (Nantes, France).
- 2019 – Poster at ISMB/ECCB – July 21st-25th 2019 (Basel, Switzerland).
Talk communications
- 2019 – Talk at SeqBIM 2019 – December 16th-17th 2019 (Marne-la-Vallée, France) : Predicting isoform transcripts: What does the comparison of known transcripts in human, mouse and dog tell us?. (more information)
Scientific Popularisation
- 2020: Festival “Sciences en Court[s]” – Organization – October 15th 2020.
- 2019: Festival “Sciences en Court[s]” – “Moi, mon chien et les autres : à la recherche des transcrits perdus” – October 17th 2019 – 1st public prize.
Teaching
- 2019 – Université de Rennes 1 – L1 portail informatique-électronique – UE PPC (Bureautique : 16h)
- 2019 – Université de Rennes 1 – L1 portail biologie, environnement, chimie du vivant – UE MAT1 (Python : 36h)
Supervising
- 2019 – Pierre-Alexis Odye (Master 1 Informatique – Ingénierie logicielle, Université de Rennes 1, ISTIC) – Conception d’une base de données sur les données de transcriptomes connus et prédits chez l’homme, la souris et le chien.
Dyliss team, Irisa / Inria Rennes-Bretagne Atlantique, Campus de Beaulieu, 35042 Rennes Cedex, France. Office: A103 (Orange Floor) Tel: + 33 (0) 2 99 84 22 03 Fax: +33 (0) 2 99 84 71 71 Email: nicolas.guillaudeux@inria.fr ORCID ID: 0000-0002-4381-2960