SamBada in Uganda: landscape genomics study of traditional cattle breeds with a large SNP dataset

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dc.contributor.authorSylvie, Stucki
dc.contributor.authorOrozco-terWengel, Pablo
dc.contributor.authorColli, Licia
dc.contributor.authorKabi, Fredrick
dc.contributor.authorMasembe, Charles
dc.contributor.authorNegrini, Riccardo
dc.contributor.authorBruford, Michael W.
dc.contributor.authorNEXTGEN, Consortium
dc.contributor.authorJoost, Stéphane
dc.date.accessioned2023-05-04T15:41:42Z
dc.date.available2023-05-04T15:41:42Z
dc.date.issued2013
dc.description.abstractSince its introduction [9], landscape genomics has developed quickly with the increasing availability of both molecular and topoclimatic data. The current challenges involve processing large numbers of models and disentangling selection from demography. Several methods address the latter, either by estimating a neutral model from population structure [3] or by inferring simultaneously environmental and demographic effects [6]. Here we present Sam ada, an integrated software for landscape genomic analysis of large datasets. This tool was developed in the framework of NextGen with the objective of characterising traditional Ugandan cattle breeds using single nucleotide polymorphisms (SNPs) data.en_US
dc.identifier.citationStucki, S., Orozco-terWengel, P., Colli, L., Kabi, F., Masembe, C., Negrini, R., ... & Joost, S. (2013). SamBada in Uganda: landscape genomics study of traditional cattle breeds with a large SNP dataset. In The IALE 2013 European Congress (No. CONF).en_US
dc.identifier.urihttps://infoscience.epfl.ch/record/188552
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/8613
dc.language.isoenen_US
dc.publishern The IALE 2013 European Congressen_US
dc.titleSamBada in Uganda: landscape genomics study of traditional cattle breeds with a large SNP dataseten_US
dc.typeOtheren_US
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