ArticleGigaByte (Hong Kong, China)2024
SMARTER-database: a tool to integrate SNP array datasets for sheep and goat breeds.
Article in GigaByte (Hong Kong, China), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Genomic insights into Greek sheep structure and admixture with global domestic breeds.BMC genomics · 2026Article
- Review
- Exploring the complex population structure and admixture of four local Hungarian sheep breeds.Frontiers in genetics · 2025Article
- Estimating the optimal number of samples to determine the effective population size in livestock.Frontiers in genetics · 2025Article
- Article
- SMARTER-database: a tool to integrate SNP array datasets for sheep and goat breeds.GigaByte (Hong Kong, China) · 2024Article
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18 authors.
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Abstract
Underutilized sheep and goat breeds can adapt to challenging environments due to their genetics. Integrating publicly available genomic datasets with new data will facilitate genetic diversity analyses; however, this process is complicated by data discrepancies, such as outdated assembly versions or different data formats. Here, we present the SMARTER-database, a collection of tools and scripts to standardize genomic data and metadata, mainly from SNP chip arrays on global small ruminant populations, with a focus on reproducibility. SMARTER-database harmonizes genotypes for about 12,000 sheep and 6,000 goats to a uniform coding and assembly version. Users can access the genotype data via File Transfer Protocol and interact with the metadata through a web interface or using their custom scripts, enabling efficient filtering and selection of samples. These tools will empower researchers to focus on the crucial aspects of adaptation and contribute to livestock sustainability, leveraging the rich dataset provided by the SMARTER-database. Availability and implementation: The code is available as open-source software under the MIT license at https://github.com/cnr-ibba/SMARTER-database.
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