Genomestudio software 2011
GenomeStudio software 2011.1 is a data analysis software designed for use with Illumina's microarray and sequencing platforms. It provides a comprehensive suite of tools for visualizing and analyzing genomic data generated by Illumina's technology.
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10 protocols using genomestudio software 2011
Genome-wide Copy Number Profiling
Genome-wide DNA Methylation Analysis of Cancer Cells
Genome-Wide SNP Analysis of Atlantic Cod Population
The R software 3.1.3 (R Core Team 2014 ) was used for subsequent analyses. The GenABEL R package (Aulchenko et al. 2007 (link)) was applied to test for deviations from Hardy–Weinberg equilibrium across, while minor-allele frequency and average observed heterozygocity was estimated with the hierfstat R package (Goudet 2005 ). LD was estimated as composite LD (Schaid 2004 (link)), a method suitable for unphased genotype data, for all pairs of SNPs with the R software utilizing the algorithm proposed by Gao et al. (2009). SNP pairs with LD >0.5 were classified as being in high LD, and physical extent of LD blocks was estimated by summing the lengths of the scaffolds in the Atlantic cod genome assembly (Star et al. 2011 (link)) anchoring SNPs spanned by the blocks.
Genome-Wide DNA Methylation Analysis
Zanubrutinib Transcriptomics in Prostate Cancer
Genome-wide DNA Methylation Analysis
Adenovirus-Mediated Overexpression of ATF4 in HL-1 Cells
DNA Methylation Analysis of Spinal Cord
Genome-wide DNA Methylation Analysis
Deamination of DNA is performed with the EZ-96 DNA Methylation Kit (Zymo Research) according to Illumina’s guidelines.. Array Scan Infinium Control BeadChips have been used which are equipped with a set of internal control probes. These control probes are used for identification of test samples with different data characteristics based on threshold parameters. These controls are also evaluated as per relative intensities. are The EPIC Array analysis has been done with GenomeStudio® Software 2011.1, Methylation Module v1.9 following the Illumina Methylation Module user guidelines (Controls Dashboard).
Genotyping from Bloodspots and Saliva
We merged raw intensities data (*.idat) files of cases and controls and carried out joint calling, to reduce batch effects. Clustering and genotyping were performed using GenomeStudio software 2011.1 (Illumina, 2011). Quality control procedures were performed, including filtering by call rate, mismatch between observed and reported gender and possible gender abnormalities as described in Wang et al.56 (link), and tri-allelic and ambiguous (AT/CG) SNPs were removed. Overall, a total of 2,015,750 SNPs were used in our downstream analyses.
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