The rhizosphere represents a dynamic and complex interface between plant hosts and the microbial community found in the surrounding soil. While it is recognized that manipulating the rhizosphere has the potential to improve plant fitness and health, engineering the rhizosphere microbiome through...
Filter results
Content type
Tags
- (-) Mass spectrometry-based Omics (3)
- (-) Sorghum bicolor (2)
- Omics (9)
- PerCon SFA (9)
- High Throughput Sequencing (8)
- Genomics (7)
- Machine Learning (6)
- Type 1 Diabetes (6)
- Autoimmunity (5)
- Sequencer System (5)
- Synthetic Biology (5)
- Biomarkers (4)
- Molecular Profiling (4)
- Mass Spectrometry (3)
- Predictive Modeling (3)
- A. pittii SO1 (2)
- Alternative Splicing (2)
- Amplicon Sequencing (2)
- Biological and Environmental Research (2)
- Imaging (2)
- Long Read Sequencer (2)
- Mass spectrometry data (2)
- Proteomics (2)
- RNA Sequence Analysis (2)
- Spectroscopy (2)
- Statistical Expression Analysis (2)
- Whole Genome Sequencing (2)
- DOE (1)
- Mass Spectrometer (1)
- Output Databases (1)
Metabolite exchange between plant roots and their associated rhizosphere microbiomes underpins plant growth promotion by microbes. Sorghum bicolor is a cereal crop that feeds animals and humans and is used for bioethanol production. Its root tips exude large amounts of a lipophilic benzoquinone...
The Environmental Determinants of Diabetes in the Young (TEDDY) study is searching for factors influencing the development of type 1 diabetes (T1D) in children. Research has shown that there are certain genes that correlate to higher risk of developing T1D, but not all children with these genes...
Datasets
1
The Diabetes Autoimmunity Study in the Young (DAISY) seeks to find environmental factors that can trigger the development of type 1 diabetes (T1D) in children. DAISY follows children with high-risk of developing T1D based on family history or genetic markers. Genes, diets, infections, and...
Datasets
1
Machine learning is a core technology that is rapidly advancing within type 1 diabetes (T1D) research. Our Human Islet Research Network (HIRN) grant is studying early cellular response initiating β cell stress in T1D through the generation of heterogenous low- and high-throughput molecular...
Datasets
3