Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1078114 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Copy number variation (CNV) is important and widespread in the genome, and is a major cause of disease and phenotypic diversity. Herein, we perform a genome-wide analysis of CNVs in the 12 diversified chicken genomes based on next-generation sequencing. We apply aCGH experiments to confirm our predicted CNVs. Results from aCGH agree well with our findings and the Pearson’s correlation values between the test and reference samples range from 0.395 to 0.740. The whole blood samples were collected from Beijing You (BY), Dongxiang (DX), Luxi Game (LX), Red Jungle Fowl (RJF), Shouguang (SG), Silkie (SK), Tibetan (TB), Wenchang (WC), and White Plymouth Rock (WR), and genomic DNA was isolated using standard phenol/chloroform extraction methods. Each test sample labeled with Cy3 was mixed with Red Jungle Fowl as reference sample labeled with Cy5. All process and analysis was performed in terms of standard NimbleGen procedure. However, due to some uncontrollable factors, none of results were obtained in three consecutive trials for CS, RIR and WL, so we had to choose a similar Agilent custom-designed 1*1.0 M array.
2015-05-14 | E-GEOD-54117 | biostudies-arrayexpress
Project description:Gallus gallus gallus breed:XIshuangbanna game fowls Genome sequencing and assembly
| PRJNA982564 | ENA
Project description:Aim: We aim to compare current (MeDIP-seq), new (Illumina Infinium 450K BeadChip) and future (PacBio) methods for whole genome DNA methylation analysis. As the interest in determination of disease methylation profiles increases, the scope, advantages and limitations of these methods requires assessment. There are key questions to answer and specific challenges to overcome. For example, how much detail/resolution is sufficient to identify regions of differential methylation and regions of biological/medical significance within a sample? How much coverage of the genome is required for accurate methylation analysis? Is it important to confirm which regions of the genome are unmethylated in addition to focusing on those that are methylated? Loss of methylation may be of equal importance within the cell since this may also contribute to disease pathogenesis. A multi-method (affinity enrichment/bisulphite-conversion based/direct sequencing of methyl-cytosine) and technology platform (Illumina HiSeq/PacBio/Illumina Infinium BeadChip) comparison will enable us to determine the strengths and weakness of each method. We propose to compare four methods using two DNA samples from the Coriell Institute for Cell Repository to assess both current and future capabilities for whole genome methylation analysis in parallel: A) MeDIP-seq using Illumina HiSeq B) Illumina Infinium HumanMethylation 450K BeadChip and C) whole genome methylation sequencing using PacBio. Existing single molecule deep bisulphite sequencing data generated previously from these same samples at the WTSI for targeted regions (30-40 genes) on the human X chromosome will be used to assess performance of each method. The methods selected for this study will generate data covering a range of resolutions from a whole genome scan to array (target defined) resolution and up to single base pair, single molecule resolution; the highest level of detail possible with methods currently available.Samples: DNA from sibling pair GM01240 (female) and GM01240 (male).Requirements: Both samples will be analysed using;A.MeDIP-seq using Illumina HiSeq (one HiSeq lane, 75bp paired end, per sample) B.Illumina Infinium HumanMethylation 450K BeadChipWe are expecting a potentially unnecessary high coverage using one HiSeq lane per sample. However, for the MeDIP procedure we do not have a multiplexing procedure in place. Our requirements for PacBio sequencing have been discussed with and will be supported by the Sequencing Technology Development group.
2013-01-22 | E-ERAD-139 | biostudies-arrayexpress
Project description:Whole-genome sequencing on PacBio of laboratory mouse strains. See http://www.sanger.ac.uk/resources/mouse/genomes/ for more details. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/
2014-10-15 | E-ERAD-328 | biostudies-arrayexpress
Project description:The proteomic profiles of silky fowl egg yolk (SFEY) and Leghorn egg yolk (LEY) were analysed by bottom-up label-free liquid chromatography tandem-mass spectrometry (LC-MS/MS), aiming to provide a theoretical basis for understanding the proteomic and biological differences between the two yolks and further develop the nutritional and biomedical value of silky fowl eggs.
2022-05-20 | PXD032674 | Pride