A5107341630- Genetic and phenotypic traits in livestock
- Animal Genetics and Reproduction
- Agricultural and Food Production Studies
- Genetic Mapping and Diversity in Plants and Animals
- Cancer-related molecular mechanisms research
- Plant and soil sciences
- Agroforestry and silvopastoral systems
- Genomics and Phylogenetic Studies
- Rabbits: Nutrition, Reproduction, Health
- Botanical Research and Applications
- Anomaly Detection Techniques and Applications
- Ruminant Nutrition and Digestive Physiology
- Bioinformatics and Genomic Networks
- Time Series Analysis and Forecasting
- Essential Oils and Antimicrobial Activity
- Sensory Analysis and Statistical Methods
- Geographic Information Systems Studies
- Computational Physics and Python Applications
- Cancer Cells and Metastasis
- Herbal Medicine Research Studies
- Molecular Biology Techniques and Applications
- Advanced Clustering Algorithms Research
- Advanced Statistical Process Monitoring
- Cancer Genomics and Diagnostics
- Metabolomics and Mass Spectrometry Studies
Centre National de la Recherche Scientifique
2020
Université de Toulouse
2018-2020
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2020
Institut National des Sciences Appliquées de Toulouse
2020
Mathématiques et Informatique Appliquées
2016-2019
Département Mathématiques et Informatique Appliquées
2016-2019
Instituto Nacional de Investigaciones Agricolas
2003-2012
University of Zulia
2009
Institut de Mathématiques de Toulouse
2008
Université Toulouse III - Paul Sabatier
2008
Comparative genomics studies are central in identifying the coding and non-coding elements associated with complex traits, functional annotation of genomes is a critical step to decipher genotype-to-phenotype relationships livestock animals. As part Functional Annotation Animal Genomes (FAANG) action, FR-AgENCODE project aimed create reference maps domesticated animals by profiling landscape transcription (RNA-seq), chromatin accessibility (ATAC-seq) conformation (Hi-C) species representing...
In omics data integration studies, it is common, for a variety of reasons, some individuals to not be present in all tables. Missing row values are challenging deal with because most statistical methods cannot directly applied incomplete datasets. To overcome this issue, we propose multiple imputation (MI) approach multivariate framework. study, focus on factor analysis (MFA) as tool compare and integrate layers information. MI involves filling the missing rows plausible values, resulting M...
Abstract Adipose-derived stem cells (ADSCs) have led to growing interest in cell-based therapy because they can be easily harvested from an abundant tissue. ADSCs must expanded vitro before transplantation. This essential step causes concerns about the safety of adult terms potential transformation. Tumorigenesis is driven its earliest by DNA replication stress, which characterized accumulation stalled forks and activation damage response. Thus, evaluate during ex vivo expansion, we...
Abstract Background Functional annotation of livestock genomes is a critical step to decipher the genotype-to-phenotype relationship underlying complex traits. As part Annotation Animal Genomes (FAANG) action, FR-AgENCODE project ( http://www.fragencode.org ) aimed profile landscape transcription (RNA-seq), chromatin accessibility (ATAC-seq) and conformation (Hi-C) in four species representing ruminants (cattle, goat), monogastrics (pig) birds (chicken), using three target samples related...
Lactococcus lactis subspecies and cremoris play a major role in dairy fermentations. Usually present starter cultures, the two enable efficient acidification improve organoleptic qualities of final product. Biovar diacetylactis strains produce diacetyl acetoin, aromas from citrate metabolization. As these populations have distinct genomic phenotypic characteristics, proportions each other will affect Today, there is no quantitative test able to distinguish between biovar ecosystems. In this...