Ontology highlight
ABSTRACT:
REPOSITORIES: ENA
Similar Datasets
Project description:Restriction site Associated DNA (RAD) tags are a genome-wide representation of every site of a particular restriction enzyme by short DNA tags. Most organisms segregate large numbers of DNA sequence polymorphisms that disrupt restriction sites, which allow RAD tags to serve as genetic markers spread at a high-density throughout the genome. Here, we demonstrate the applicability of RAD markers for both individual and bulk-segregant genotyping. First, we show that these markers can be identified and typed on pre-existing microarray formats. Second, we present a method that uses RAD marker DNA to rapidly produce a low-cost microarray genotyping resource that can be used to efficiently identify and type thousands of RAD markers. We demonstrate the utility of the former approach by using a tiling path array for the fruit fly to map a recombination breakpoint, and the latter approach by creating and utilizing an enriched RAD marker array for the threespine stickleback. The high number of RAD markers enabled localization of a previously identified region, as well as a second novel region also associated with the lateral plate phenotype. Taken together, our results demonstrate that RAD markers, and the method to develop a RAD marker microarray resource, allow high-throughput, high-resolution genotyping in both model and non-model systems. Keywords: microarray genotyping
2007-01-24 | GSE5773 | GEO
Project description:Yeast spores genotyping to analyze the fate of meiotic DNA double strand breaks. For control crossovers are recirpocal events based on the information from two independent spore hybridizations from a unique tetrad were used. Genotyping procedure followed as described in Bourgon et al 2009
2012-01-01 | E-MTAB-508 | biostudies-arrayexpress
Project description:Array hybridization data for 611 yeast segregants to determine genotype at each marker. DNA from each segregant was digested with DNAseI, labeled with Cy5-ddATP, and hybridized individually to a custom agilent 8x15k, genotyping array . Note: Tetrad refers to the tetrad from the cross of YJM145 x S288c that each segregant was dissected from. Tag ID refers to unique yeast barcode has been integrated at the ho locus in a segregant.
2012-06-29 | E-MTAB-724 | biostudies-arrayexpress
Project description:Mar1 deletion and RNA enrichment in Cryptococcus neoformans: pilot data for a high-throughput sequencing course. The goal of this project was to generate pilot data in preparation for a summer course on high-throughput sequencing where participants prepared their own RNA-Seq libraries and analyzed the resulting data. This pilot experiment addressed two questions: 1. Does this experimental system (Cryptococcus neoformans H99 wildtype and mar1 deletion mutant grown in YPD and tissue culture media) provide a good dataset for course participants to analyze. 2. Which rRNA depletion method is best to use in the wetlab component of the course. This data was generated in preparation for the intensive summer course on high-throughput sequencing, funded by NIH grant 5R25EB023928-03 "A hands-on, integrative next-generation sequencing course: design, experiment, and analysis".
2021-02-22 | GSE160397 | GEO
Project description:This SuperSeries is composed of the following subset Series: GSE19569: Expression data from wild-type FY4 and GCR2 deletion strain GSE24053: Expression data from wild-type FY4 and the BAS1-deletion strain GSE24054: Expression data from wild-type FY4 and the PHO2-deletion strain GSE24056: Expression data from wild-type FY4 and the GCN4-deletion strain Refer to individual Series
2010-12-01 | E-GEOD-24057 | biostudies-arrayexpress
Project description:We developed an automated high-throughput Smart-seq3 (HT Smart-seq3) workflow via robotic implementation and established best practices to consistently achieve high cell capture efficiency and data quality. In comparison with the 10X platform, HT Smart-seq3 analysis of primary CD4+ T-cells demonstrated superior sensitivity in gene detection and similar capability to capture major cellular heterogeneity upon sufficient scaling up. Notably, through T-cell receptor (TCR) reconstruction, HT Smart-seq3 identified more productive pairs of alpha and beta chains without additional primer design, enabling more comprehensive profiling of TCRs. Collectively, HT Smart-seq3 provides a cost-effective and scalable method for characterization of single-cell transcriptomes and immune repertoires.
2024-07-02 | GSE270928 | GEO
Project description:We developed an automated high-throughput Smart-seq3 (HT Smart-seq3) workflow via robotic implementation and established best practices to consistently achieve high cell capture efficiency and data quality. In comparison with the 10X platform, HT Smart-seq3 analysis of primary CD4+ T-cells demonstrated superior sensitivity in gene detection and similar capability to capture major cellular heterogeneity upon sufficient scaling up. Notably, through T-cell receptor (TCR) reconstruction, HT Smart-seq3 identified more productive pairs of alpha and beta chains without additional primer design, enabling more comprehensive profiling of TCRs. Collectively, HT Smart-seq3 provides a cost-effective and scalable method for characterization of single-cell transcriptomes and immune repertoires.
2024-07-02 | GSE270917 | GEO