Publications
Found 45 results
Filters: Author is Magali San Cristobal [Clear All Filters]
Muscle transcriptomic investigation of late fetal development identifies candidate genes for piglet maturity. BMC Genomics. 2014;15:797. doi:10.1186/1471-2164-15-797.
Transcriptome-wide investigation of genomic imprinting in chicken. Nucleic Acids Res. 2014;42(6):3768-82. doi:10.1093/nar/gkt1390.
Detecting Signatures of Selection Through Haplotype Differentiation Among Hierarchically Structured Populations. Genetics. 2013. doi:10.1534/genetics.112.147231.
. The structure of a gene co-expression network reveals biological functions underlying eQTLs. PLoS One. 2013;8(4):e60045. doi:10.1371/journal.pone.0060045.
. Genome-Wide Analysis of the World’s Sheep Breeds Reveals High Levels of Historic Mixture and Strong Recent Selection. PLoS Biol. 2012;10:e1001258. doi:10.1371/journal.pbio.1001258.
Phenotypic prediction based on metabolomic data for growing pigs from three main European breeds. J Anim Sci. 2012;90(13):4729-40. doi:10.2527/jas.2012-5338.
Genetic characterization of the Blonde d’Aquitaine cattle breed using microsatellite markers and relationship with three other French cattle populations. Journal of animal breeding and genetics. 2011;128:201-8. doi:10.1111/j.1439-0388.2010.00890.x.
. Genetic variability of transcript abundance in pig peri-mortem skeletal muscle: eQTL localized genes involved in stress response, cell death, muscle disorders and metabolism. BMC Genomics. 2011;12:548. doi:10.1186/1471-2164-12-548.
Transcriptome profiling of sheep granulosa cells and oocytes during early follicular development obtained by laser capture microdissection. BMC Genomics. 2011;12:417. doi:10.1186/1471-2164-12-417.
What is a good (gene) network?. J Anim Breed Genet. 2011;128(1):1-2. doi:10.1111/j.1439-0388.2010.00916.x.
. Detecting Selection in Population Trees: The Lewontin and Krakauer Test Extended. Genetics. 2010;186:241-262. doi:10.1534/genetics.110.117275.
Genetic variability, structure and assignment of Spanish and French pig populations based on a large sampling. Animal genetics. 2010;41:608-18. doi:10.1111/j.1365-2052.2010.02061.x.
Methods for interpreting lists of affected genes obtained in a DNA microarray experiment. BMC Proc. 2009;3 Suppl 4:S5.
Pathway results from the chicken data set using GOTM, Pathway Studio and Ingenuity softwares. BMC Proc. 2009;3 Suppl 4:S11. doi:10.1186/1753-6561-3-S4-S11.
. Pathway results from the chicken data set using GOTM, Pathway Studio and Ingenuity softwares. BMC Proceedings. 2009;3, S4:{Non paginé.
. A pilot study on transcriptome data analysis of folliculogenesis in pigs. Animal. 2009;3(3):393-401. doi:10.1017/S1751731108003479.
A pilot study on transcriptome data analysis of folliculogenesis in pigs. animal. 2009;3:393-401.
A pilot study on transcriptome data analysis of folliculogenesis in pigs. Animal. 2009;3:393–401.
Predicting qualitative phenotypes from microarray data - the Eadgene pig data set. BMC Proceedings. 2009;3, online:{Non paginé.
. 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.
. Gene array and real time PCR analysis of the adrenal sensitivity to adrenocorticotropic hormone in pig. BMC genomics. 2008;9:101. doi:10.1371/journal.pone.0060045.
. Gene array and real time PCR analysis of the adrenal sensitivity to adrenocorticotropic hormone in pig. BMC Genomics. 2008;9:101. doi:10.1186/1471-2164-9-101.
. In vivo gene expression in granulosa cells during pig terminal follicular development. Reproduction. 2008;136(2):211-24. doi:10.1530/REP-07-0312.
In vivo gene expression in granulosa cells during pig terminal follicular development. Reproduction. 2008;136:211-24. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18456903.