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Publications

Found 1250 results
2009
Bonnet A, Lagarrigue S, Liaubet L, Robert-Granié C, San Cristobal M, Tosser-Klopp G. Pathway results from the chicken data set using GOTM, Pathway Studio and Ingenuity softwares. BMC Proceedings. 2009;3, S4:{Non paginé.
Tosser-Klopp G, Le Cao K-A, Bonnet A, et al. A pilot study on transcriptome data analysis of folliculogenesis in pigs. Animal. 2009;3:393–401.
Tosser-Klopp G, Cao K-ALê, Bonnet A, et al. A pilot study on transcriptome data analysis of folliculogenesis in pigs. Animal. 2009;3(3):393-401. doi:10.1017/S1751731108003479.
Tosser-Klopp G, Le Cao KA, Bonnet A, et al. A pilot study on transcriptome data analysis of folliculogenesis in pigs. animal. 2009;3:393-401.
Post-transcriptional processing generates a diversity of 5'-modified long and short RNAs. Nature. 2009;457(7232):1028-32. doi:10.1038/nature07759.
Robert-Granié C, Le Cao K-A, San Cristobal M. Predicting qualitative phenotypes from microarray data - the Eadgene pig data set. BMC Proceedings. 2009;3, online:{Non paginé.
G. Campos DLos, Naya H, Gianola D, et al. Predicting quantitative traits with regression models for dense molecular markers and pedigree. Genetics. 2009;182:375–385.
Villamide MJ, Carabaño R, Maertens L, et al. Prediction of the nutritional value of European compound feeds for rabbits by chemical components and in vitro analysis. Animal Feed Science and Technology. 2009;150:283–294.
David I, Bodin L, Gianola D, Legarra A, Manfredi E, Robert-Granié C. Product versus additive threshold models for analysis of reproduction outcomes in animal genetics. Journal of Animal Science. 2009;87(8):2510–2518. doi:10.2527/jas.2008-1586.
Nadaf J, Pitel F, Gilbert H, et al. QTL for several metabolic traits map to loci controlling growth and body composition in an F2 intercross between high- and low-growth chicken lines. Physiological Genomics. 2009;38:241–249. doi:10.1152/physiolgenomics.90384.2008.
Enjalbert F. The relationship between trace elements status and health in calves. Revue de Médecine Vétérinaire. 2009;160:429–435.
Legarra A, Aguilar I, Misztal I. A relationship matrix including full pedigree and genomic information. Journal of Dairy Science. 2009;92:4656–4663.
Rupp R, Bergonier D, Dion S, et al. Response to somatic cell count-based selection for mastitits resistance in a divergent selection experiment in sheep. Journal of Dairy Science. 2009;92:1203–1219. doi:10.3168/jds.2008-1435.
Nikolic N, Feve K, Chevalet C, Hoyheim B, Riquet J. A set of 37 microsatellite {DNA} markers for genetic diversity and structure analysis of {A}tlantic salmon {S}almo salar populations. J Fish Biol. 2009;74:458-66. Available at: http://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?cmd=prlinks&dbfrom=pubmed&retmode=ref&id=20735571.
Gondret F, Hernandez P, Rémignon H, Combes S. Skeletal muscle adaptations and biomechanical properties of tendons in response to jump exercise in rabbits. Journal of Animal Science. 2009;87:544–553.
Le Cao K-A, Martin P, Robert-Granié C, Besse P. Sparse canonical methods for biological date integration : application to a cross-platform study. BMC Bioinformatics. 2009;10, online:{Non paginé.
Michelland RJ, Monteils V, Zened A, et al. Spatial and temporal variations of the bacterial community in the bovine digestive tract. Journal of Applied Microbiology. 2009:1642–1650.
Michelland RJ, Déjean S, Combes S, Lamothe L, Cauquil L. StatFingerprints: a friendly graphical interface program for processing and analysis of microbial fingerprint profiles. Molecular Ecology Resources. 2009;9:1359–1363.
Enjalbert F, L. De Oliveira A, Lebreton P. Statut en oligo-elements : etat des lieux et evolution. Point Vétérinaire. 2009;292:35–38.
Pegard A, Miquel C, Valentini A, et al. Universal {DNA}-Based methods for Assessing the diet of grazing livestock and wildlife from feces. 2009;57:5700–5706. doi:10.1021/jf803680c.
Jouffe V, Rowe S, Liaubet L, et al. Using microarrays to identify positional candidate genes for QTL: the case study of ACTH response in pigs. BMC Proc. 2009;3 Suppl 4:S14. doi:10.1186/1753-6561-3-S4-S14.
Nikolic N, Park YS, San Cristobal M, Lek S, Chevalet C. What do artificial neural networks tell us about the genetic structure of populations? {T}he example of {E}uropean pig populations. Genet Res (Camb). 2009;91:121-32. Available at: http://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?cmd=prlinks&dbfrom=pubmed&retmode=ref&id=19393128.

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