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Software solutions for the livestock genomics SNP array revolution
Author(s) -
Nicolazzi E. L.,
Biffani S.,
Biscarini F.,
Orozco ter Wengel P.,
Caprera A.,
Nazzicari N.,
Stella A.
Publication year - 2015
Publication title -
animal genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.756
H-Index - 81
eISSN - 1365-2052
pISSN - 0268-9146
DOI - 10.1111/age.12295
Subject(s) - snp , genomics , biology , software , imputation (statistics) , snp genotyping , single nucleotide polymorphism , population genomics , snp array , population , identification (biology) , computational biology , computer science , data science , genotype , genetics , genome , botany , demography , machine learning , sociology , gene , missing data , programming language
Summary Since the beginning of the genomic era, the number of available single nucleotide polymorphism ( SNP ) arrays has grown considerably. In the bovine species alone, 11 SNP chips not completely covered by intellectual property are currently available, and the number is growing. Genomic/genotype data are not standardized, and this hampers its exchange and integration. In addition, software used for the analyses of these data usually requires not standard (i.e. case specific) input files which, considering the large amount of data to be handled, require at least some programming skills in their production. In this work, we describe a software toolkit for SNP array data management, imputation, genome‐wide association studies, population genetics and genomic selection. However, this toolkit does not solve the critical need for standardization of the genotypic data and software input files. It only highlights the chaotic situation each researcher has to face on a daily basis and gives some helpful advice on the currently available tools in order to navigate the SNP array data complexity.