Project description:In this study, we compared the two long-read sequencing platforms, namely the single-molecule real-time sequencing by Pacific Biosciences and nanopore sequencing by Oxford Nanopore Technologies, for the analysis of cell-free DNA from plasma. Artificial mixtures of sonicated human and mouse DNA at different sizes were sequenced with the two platforms.
Project description:The objective of the study was to utilize DNA methylation to quantify human leukocyte subsets in human blood. This file contains data from an Illumina Infinium HumanMethlation450 for human whole blood samples as well as complex mixtures of DNA from purified human leukocyte subtypes in quantities that mimick human blood under different clinical conditions.
Project description:RNA-seq was to determine the effects of different sizes and different concentrations of polystyrene microspheres on the transcriptome of O. melastigma embryos. O. melastigma treated with artificial seawater were used as controls.
Project description:The objective of the study was to utilize DNA methylation to quantify human leukocyte subsets in human blood. This file contains data from an Illumina Infinium HumanMethlation450 for human whole blood samples as well as complex mixtures of DNA from purified human leukocyte subtypes in quantities that mimick human blood under different clinical conditions. Bisulphite converted DNA from the samples were hybridized to an Illumina Infinium HumanMethylation450 beadchip
Project description:We investigated genome-wide analysis of 5-hydroxymethylcytosine (5hmC) distribution in mouse intestinal stem and differentiated cells using hydroxyMethylated DNA immunoprecipitation (hMeDIP) followed by sequencing. Genomic DNA from mouse intestinal stem (Lgr5+) and villus differentiated cells were sonicated, immunoprecipitated by a 5hmC antibody, and sequenced in order to identify differential hydroxymethylated regions and genes.
Project description:We analyzed DNA copy number alterations in 64 human gastric cancer samples and 8 gastric cancer cell lines using bacterial artificial chromosome (BAC) arrays based comparative genomic hybridisation (aCGH).
Project description:The objective of the study was to utilize DNA methylation to quantify human leukocyte subsets in human blood. This file contains data from an Illumina custom VeraCode GGMA microarray for human leukocyte subtypes (purified from whole blood samples via magnetic activated cell sorting (MACS) and purity confirmed by flourescence activated cell sorting (FACS)) as well as for complex mixtures of DNA from those samples, and for human whole blood samples.
Project description:The goals of the study were to assess array platform performance and analysis algorithm performance. The most widely used method for detecting genome-wide protein-DNA interactions is chromatin immunoprecipitation on tiling microarrays, commonly known as ChIP-chip. Here, we conducted the first objective analysis of tiling array platforms, amplification procedures, and signal detection algorithms in a simulated ChIP-chip experiment. Mixtures of human genomic DNA and "spike-ins" comprised of nearly 100 human sequences at various concentrations were hybridized to four tiling array platforms by eight independent groups. Blind to the number of spike-ins, their locations, and the range of concentrations, each group made predictions of the spike-in locations. We found that microarray platform choice is not the primary determinant of overall performance. In fact, variation in performance between labs, protocols and algorithms within the same array platform was greater than the variation in performance between array platforms. However, each array platform had unique performance characteristics that varied with tiling resolution and the number of replicates, which have implications for cost versus detection power. Long oligonucleotide arrays were slightly more sensitive at detecting very low enrichment. On all platforms, simple sequence repeats and genome redundancy tended to result in false positives. LM-PCR and WGA, the most popular sample amplification techniques, reproduced relative enrichment levels with high fidelity. Performance among signal detection algorithms was heavily dependent on array platform. The spike-in DNA samples and the data presented here provide a stable benchmark against which future ChIP platforms, protocol improvements, and analysis methods can be evaluated. Keywords: ChIP-chip, competition, artificial DNA For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf