Publications

Found 45 results
Filters: Author is Magali San Cristobal  [Clear All Filters]
2014
Voillet V, San Cristobal M, Lippi Y, et al. 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.
Frésard L, Leroux S, Servin B, et al. Transcriptome-wide investigation of genomic imprinting in chicken. Nucleic Acids Res. 2014;42(6):3768-82. doi:10.1093/nar/gkt1390.
2013
Fariello M-I, Boitard S, Naya H, San Cristobal M, Servin B. Detecting Signatures of Selection Through Haplotype Differentiation Among Hierarchically Structured Populations. Genetics. 2013. doi:10.1534/genetics.112.147231.
Villa-Vialaneix N, Liaubet L, Laurent T, Cherel P, Gamot A, San Cristobal M. 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.
2012
Kijas JW, Lenstra JA, Hayes B, et al. 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.
Rohart F, Paris A, Laurent B, et al. 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.
2011
Amigues Y, Boitard S, Bertrand C, San Cristobal M, Rocha D. 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.
Liaubet L, Lobjois V, Faraut T, et al. 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.
Bonnet A, Bevilacqua C, Benne F, et al. 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.
Villa-Vialaneix N, Liaubet L, San Cristobal M. What is a good (gene) network?. J Anim Breed Genet. 2011;128(1):1-2. doi:10.1111/j.1439-0388.2010.00916.x.
2010
Bonhomme M, Chevalet C, Servin B, et al. Detecting Selection in Population Trees: The Lewontin and Krakauer Test Extended. Genetics. 2010;186:241-262. doi:10.1534/genetics.110.117275.
Boitard S, Chevalet C, Mercat M-J, et al. 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.
2009
Hedegaard J, Arce C, Bicciato S, et al. Methods for interpreting lists of affected genes obtained in a DNA microarray experiment. BMC Proc. 2009;3 Suppl 4:S5.
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 Proc. 2009;3 Suppl 4:S11. doi:10.1186/1753-6561-3-S4-S11.
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 KA, 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 K-A, Bonnet A, et al. A pilot study on transcriptome data analysis of folliculogenesis in pigs. Animal. 2009;3:393–401.
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.
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.
2008
Hazard D, Liaubet L, San Cristobal M, Mormède P. 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.
Hazard D, Liaubet L, San Cristobal M, Mormède P. 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.
Bonnet A, Cao KALê, San Cristobal M, et al. In vivo gene expression in granulosa cells during pig terminal follicular development. Reproduction. 2008;136(2):211-24. doi:10.1530/REP-07-0312.
Bonnet A, Le Cao KA, San Cristobal M, et al. 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.

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