Ontology highlight
ABSTRACT:
PROVIDER: PRJNA503087 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:This is an untargeted liquid chromatography high resolution mass spectrometry profiling data set of 76 samples of different plant parts of 36 species belonging to 14 genera of the Celastraceae family. The data set is composed of: the .raw and open format .mzML files; the metadata associated to each file, including the curated accepted taxonomy based on the Open Tree of Life, analytical and biological tissue characteristics.
2021-08-11 | MSV000087970 | MassIVE
Project description:Fast-growing Eucalyptus grandis trees are one of the most efficient producers of wood in South Africa. It is essential to maximize the effectiveness of these plantations by increasing their productivity, the quality and value of their products. We used microarray-based DNA-amplified fragment length polymorphism (AFLP) analysis in combination with expression profiling to develop fingerprints and profile gene expression of wood-forming tissue of seven individual E. grandis trees. A 1532-probe cDNA microarray was constructed by arraying 768 cDNA-AFLP fragments and 810 cDNA library clones from seven individual E. grandis trees onto silanised slides. The results revealed that 32% of the spotted fragments showed distinct expression patterns (with a fold change of at least 1.4 or -1.4 and a p value of 0.01) and could be grouped into clusters representing co-expressed genes. Evaluation of the binary distribution of cDNA-AFLP fragments on the array showed that the individual genotypes could be discriminated. A simple, yet general method was developed for genotyping and expression profiling of wood-forming tissue of E. grandis trees differing in their splitting characteristics and in their lignin contents. Evaluation of gene expression profiles and the binary distribution of cDNA-AFLP fragments on the chip suggest that the prototype chip developed could be useful for transcript profiling and for the identification of Eucalyptus trees with preferred wood quality traits in commercial breeding programmes.
2009-10-01 | GSE14707 | GEO
Project description:We developed a continuous-trait probabilistic model to identify genome-wide evolutionary patterns of 3D genome structures based on multi-species Hi-C data. We applied the proposed method to analyzing cross-species Hi-C data from the same cell type in multiple primate species. The results showed that the proposed method enables discovery of distinct Hi-C contact frequency evolutionary patterns across species.
2019-06-19 | GSE128800 | GEO
Project description:This is an untargeted liquid chromatography high resolution mass spectrometry profiling data set of 76 samples of different plant parts of 36 species belonging to 14 genera of the Celastraceae family. The data set is composed of: the .raw and open format .mzML files; the metadata associated to each file, including the curated accepted taxonomy based on the Open Tree of Life, analytical and biological tissue characteristics.
2021-08-11 | MSV000087970 | GNPS
Project description:Amplicon-based fungal metagenomic sequencing for the identification of fungal species in brain tissue from Alzheimer's disease. The study consists in 14 samples, sequenced using Illumina's paired-end technology.
| EGAD00001003196 | EGA
Project description:Panicum virgatum exome capture - SAP-14-14
| PRJNA447726 | ENA