Samples were bisulfite converted using the EZ-DNA methylation Gold Kit (Zymo) and hybridized to the arrays following the manufacturer’s instructions. Arrays were scanned on the HiScan platform (Illumina) and raw data was processed in R with the RnBeads library package [v2.0, (39 (link))] using “Dasen” normalization (40 (link)) and greedycut filter (0.05 threshold). Then for each CpG site a beta-value was calculated representing the fraction of methylated cytosines at that particular site (0 = unmethylated, 1 = fully methylated). Beta values were exported from RnBeads for downstream analysis which was performed in R using in-house scripts involving the following library packages: ggplot2 (41 (link)), ggfortify (42 (link)), reshape2 (43 (link)), GenomicRanges (44 (link)).
Hiscan platform
The HiScan platform is a high-throughput genetic analysis system designed for a variety of applications, including gene expression analysis, genotyping, and next-generation sequencing. The HiScan platform provides accurate and reliable data output to support scientific research and discovery.
Lab products found in correlation
11 protocols using hiscan platform
EPIC Array Genome-Wide Methylation Profiling
Samples were bisulfite converted using the EZ-DNA methylation Gold Kit (Zymo) and hybridized to the arrays following the manufacturer’s instructions. Arrays were scanned on the HiScan platform (Illumina) and raw data was processed in R with the RnBeads library package [v2.0, (39 (link))] using “Dasen” normalization (40 (link)) and greedycut filter (0.05 threshold). Then for each CpG site a beta-value was calculated representing the fraction of methylated cytosines at that particular site (0 = unmethylated, 1 = fully methylated). Beta values were exported from RnBeads for downstream analysis which was performed in R using in-house scripts involving the following library packages: ggplot2 (41 (link)), ggfortify (42 (link)), reshape2 (43 (link)), GenomicRanges (44 (link)).
Genome-wide Analysis of Genetic Variants
5hmC ChIP-Seq Library Preparation
Genome-Wide Genotyping by Hybridization
Illumina Infinium DNA Methylation Analysis
Illumina DNA Methylation Microarray Protocol
Mouse Bodymap RNA-Seq Library Construction
Bowhead Whale Transcriptome Sequencing
Transcriptome Analysis of Drosophila Wing Discs
Rare Deleterious Mutations in ALS Genes
Rare deleterious mutations were defined by frequency within the Exome Aggregation Consortium data set of <1/10,000 control alleles (Lek et al., 2016 (link)), and a Phred-scaled Combined Annotation Dependent Depletion (CADD) score >10 (Kircher et al., 2014 (link)). Comparison of various pathogenicity prediction tools recently supported the sensitivity and specificity of CADD (Salgado et al., 2016 (link)). Given that we were focused on exonic changes with an effect on protein function, synonymous changes were excluded. We excluded any changes with a read depth <10 and validated by Sanger sequencing any changes with read depth 10–15 or a novel allele frequency less than one third the reference allele frequency (Supplementary Figure
ExAC defines constrained genes based on an observed frequency of loss of function mutations which is much less than predicted by sequence specific mutation probabilities (Lek et al., 2016 (link)). A threshold for “constrained” is set as probability of a gene being loss of function intolerant (PLi) > 0.95.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!