Project description:Whole genome sequencing of S. cerevisiae strain F45, progeny of a cross between YO502, a modified haploid progeny of diploid strain DBVPG1853 (white-tecc strain), and YO486, a modified version of strain UC5 (sake strain).
Project description:The parents and progeny of the I X III genetic cross were genotyped using the ToxoGeneChip in order to generate a more detailed genetic map. We also used the genomic hybridization data to look for copy number variations (CNV) and segmental duplications. The ToxoGeneChip microarray (http://ancillary.toxodb.org/docs/Array-Tutorial.html) was used to hybridize genomic DNA for the parents and progeny of the I X III cross. The parents of the cross are CTGara and GT1-Fudr. The rest comprise the 34 informative progeny.
Project description:Infection of RAW264.7 cells for 24 hours with 32 Toxoplasma Progeny from a Type II x Type III cross To measure changes in gene expression induced in macropahges upon Toxoplasma infection, we infected RAW 264.7 macrophages in cell culture with one of 32 Toxoplasma parasite progeny from a Type II x Type III cross. RNA was harvested 24 hours post infection.
Project description:This SuperSeries is composed of the following subset Series: GSE26558: Expression Quantitative Trait Locus (eQTL) Mapping of Stage-specific Gene Expression in Progeny from a type I X III Genetic Cross of Toxoplasma gondii GSE26607: Genomic hybridizations for the parents and progeny of the Toxoplasma gondii I X III genetic cross Refer to individual Series
Project description:Paired end shallow whole genome sequencing (sWGS) data for the identification of somatic copy number alterations (SCNA) and the estimation of tumor fraction and ploidy sorted malignant CD3+/Vb+ T-cells and corresponding CD19+ non-malignant B-cells
Project description:Here, we have collapsed multiple analysis problems into two coherent categories, signal detection and signal estimation and adapted linear-optimal solutions from signal processing theory. Our algorithms for detection (DFilter) and estimation (EFilter) extend naturally to integration of multiple datasets. In benchmarking tests, DFilter outperformed assay-specific algorithms at identifying promoters from histone ChIP-seq, binding sites from transcription factor (TF) ChIP-seq and open chromatin regions from DNase- and FAIRE-seq data. EFilter similarly outperformed an existing method for predicting mRNA levels from histone ChIP-seq data (Spearman correlation: 0.81 - 0.89). We performed H3K4me3 and H3K36me3 ChIP-seq on e11.5 mouse forebrain and used DFilter and EFilter to predict promoters and developmental gene expression, uncovering plausible gene targets for SNPs associated with neurodevelopmental disorders. Generated two histone modifiction ChiP-seq in developing embryo mouse forebrain and using them for making bioligical inferences
Project description:Infection of RAW264.7 cells for 24 hours with 32 Toxoplasma Progeny from a Type II x Type III cross To measure changes in gene expression induced in macropahges upon Toxoplasma infection, we infected RAW 264.7 macrophages in cell culture with one of 32 Toxoplasma parasite progeny from a Type II x Type III cross. RNA was harvested 24 hours post infection. Cells were infected with Toxoplasma parasites, in vitro