MOESM1 of Genome-wide linkage disequilibrium and genetic diversity in five populations of Australian domestic sheep

Additional file 1: Table S1. Summary statistics for the SNPs, average minor allele frequency and heterozygosity. Table S2. Average linkage disequilibrium (r2) between adjacent markers on the autosomes (OAR). Table S3. Average linkage disequilibrium (D’) between adjacent markers on the autosomes (OAR). Table S4. Chromosome-wise average linkage disequilibrium (D’) for each population studied. Table S5. Chromosome-wise average linkage disequilibrium (r2) for each population studied. Table S6. Summary of the chromosome-wise haplotype analysis. Table S7. Range of inbreeding coefficients for each population studied. Table S8. Mean linkage disequilibrium in the five populations at varying map distances. Table S9. List of the genes located in the region between 49.2 and 51.2 Mb on OAR15

MOESM2 of Genome-wide linkage disequilibrium and genetic diversity in five populations of Australian domestic sheep

Additional file 2: Figure S1. Distribution of minor allele frequency (MAF) for each population studied. The percentage of SNP is plotted for each frequency bin. Figure S2. Average D' values for each population

Towards optimization of beam mode for high efficiency laser thermal forming within metallurgical constraints

In the laser forming (LF) process, laser induced temperature distribution within the work-piece is of paramount importance. Through control of process parameters and depending on work-piece geometry, the temperature distribution can be altered to achieve either localized plastic compressive strains or elastic-plastic buckling. Conventionally, three process parameters are manipulated in order to control the temperature distribution within the work-piece; traverse speed, average power and spot size. Additionally, the intensity distribution and geometrical shape of the beam incident on the work-piece surface can be manipulated. The latter has the potential to be useful in maintaining bend angle per pass whilst working within strict metallurgical constraints. In this paper, the effect of beam intensity distribution and geometrical shape on the LF of automotive grade high strength DP 1000 steel sheet is investigated numerically and experimentally, with particular emphasis on optimization for minimal micro-structural transformation.</p

Additional file 1: Table S1. of Genome-wide association study of body weight in Australian Merino sheep reveals an orthologous region on OAR6 to human and bovine genomic regions affecting height and weight

Number of SNPs before and after quality control and average distances between adjacent SNPs on each chromosome. (DOCX 16 kb

Additional file 3: Table S3. of Genome-wide association study of body weight in Australian Merino sheep reveals an orthologous region on OAR6 to human and bovine genomic regions affecting height and weight

Percentages of genetic variance explained by each chromosome. This table presents the percentages of genetic variance explained by each chromosome obtained by fitting all chromosomes simultaneously in the GCTA software. (DOCX 19 kb

MOESM5 of Combining information from genome-wide association and multi-tissue gene expression studies to elucidate factors underlying genetic variation for residual feed intake in Australian Angus cattle

Additional file 5: Table S4. Information of the genes located near the significant SNPs

Additional file 2: Table S2. of Genome-wide association study of body weight in Australian Merino sheep reveals an orthologous region on OAR6 to human and bovine genomic regions affecting height and weight

The 39 SNPs that have a significant association with body weight in 1743 Merino sheep. This table presents the chromosomal positions of 39 genome-wide significant SNPs with MAF, P-values as well as the proportion of genetic variance and allele substitution effects that can be attributed to each SNP. (DOCX 23 kb

CSC reduces the abundance of XPC, but not XPA, protein in IMR-90 cells.

(A) Cells were treated with different concentrations of CSC as shown for 24 h, and the abundance of XPC was examined by western blot analysis. (B) A graphical representation of multiple western blots for XPC expression is shown. The data presented are the mean ± SE from two repeats each of three independent experiments, and XPC expression was normalized to β-actin. (C) Cells were treated as shown for 24 h, and the abundance of XPA was measured by western blot analysis. (D) A graphical representation of multiple western blots for XPA expression is shown. The data presented are the mean ± SE of three repeats from three independent experiments, and XPA expression was normalized to β-actin.</p

MOESM4 of Combining information from genome-wide association and multi-tissue gene expression studies to elucidate factors underlying genetic variation for residual feed intake in Australian Angus cattle

Additional file 4: Table S3. Additive and dominance effects