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Comparison of SNP-variation across sheep breeds
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2024-11-01
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Additional file 1 of On the origin of European sheep as revealed by the diversity of the Balkan breeds and by optimizing population-genetic analysis tools
Additional file 1: Table S1. Sheep breeds analyzed in this study [16, 18, 20, 22, 31, 35, 47, 59, 76]. Colors indicate genetic clusters. Boxes indicate breeds combined in the 78-breed panel.
DataCite Commons2020-08-25 更新60
Table_1_Genomic Prediction of Breeding Values Using a Subset of SNPs Identified by Three Machine Learning Methods.pdf
The analysis of large genomic data is hampered by issues such as a small number of observations and a large number of predictive variables (commonly known as “large P small N”), high dimensionality or
NIAID Data Ecosystem50
Additional file 20: of Bacterial whole genome-based phylogeny: construction of a new benchmarking dataset and assessment of some existing methods
Position for mutations from S19 SNP alignment. Positions related to NC000913. (TXT 5 kb)
NIAID Data Ecosystem40
Additional file 5: of Estimation of linkage disequilibrium and effective population size in New Zealand sheep using three different methods to create genetic maps
OvineGeneticMap.IMF.txt. This file contains information about physical and genetics positions for the entire sheep genome assembly (ISGC Oar_v3.1). The first line gives the correct setting to load it
Figshare2017-07-22 更新50
Frequency of deleterious coding and noncoding SNPs.
The alignments and data are the same as those used in Table 4. The number of deleterious SNPs is the difference between the total and neutral number of SNPs. The number of neutral nonsynonymous SNPs i
NIAID Data Ecosystem50
