The University of Luxembourg is still a relatively young university having been founded in 2003. The university is well-known for providing multilingual programmes in French, German and English and several master's and doctoral programmes are taught entirely in English. There are three faculties: Faculty of Science, Technology and Communication; Faculty of Law, Economics and Finance and Faculty of Language and Literature, Humanities, Arts and Education. There are also three interdisciplinary research centres. The university has about 850 scientific and research staff supporting 242 professors, assistant professors and lecturers in their teaching, and about 6,366 students originating from 113 different countries. Combining molecular, cellular and computational approaches, research at Life Sciences Research Unit (LSRU) focuses on the fundamental understanding of biological processes relevant to human diseases to make use of it for biomedical applications. The LSRU is composed of six laboratories. The Bioinformatics Facility was created in March 2013 to foster the implementation of bioinformatics applications in projects of the Life Science Research Unit (LSRU). This facility is led by Aurélien Ginolhac and composed of two bioinformaticians.
Aurélien Ginolhac (High Performance Computing team) senior informatician, specialist in parallel computing and system administration.
Aurélien Ginolhac was involved in the DNA-version of the proposed tool for ancient proteomics. Paleomix written by Mikkel Schubert in Python: Schubert M, Ermini L, Sarkissian CD, Jónsson H, Ginolhac A, Schaefer R, Martin MD, Fernández R, Kircher M, McCue M, Willerslev E, and Orlando L. "Characterization of ancient and modern genomes by SNP detection and phylogenomic and metagenomic analysis using PALEOMIX". Nature Protocols. 2014 9(5):1056-82. He also developed mapDamage, a software widely used for testing the authenticity of ancient DNA sequences: Ginolhac A, Rasmussen M, Gilbert MT, Willerslev E, Orlando L. mapDamage: testing for damage patterns in ancient DNA sequences. Bioinformatics 2011 27(15):2153-5. A second version was published and released 2 years after: Jónsson H, Ginolhac A, Schubert M, Johnson P, Orlando L. mapDamage2.0: fast approximate Bayesian estimates of ancient DNA damage parameters. Bioinformatics 2013 29(13): 1682–4.