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
Category
- (-) Microbiome Science (3)
- (-) Computational Mathematics & Statistics (1)
- Biology (8)
- Scientific Discovery (8)
- Computational Research (5)
- Data Analytics & Machine Learning (5)
- Human Health (5)
- Computational Mathematics & Statistics (1)
- Computing & Analytics (1)
- Data Analytics & Machine Learning (1)
- Earth System Science (1)
- National Security (1)
Content type
Tags
- (-) Machine Learning (2)
- (-) Sorghum bicolor (2)
- Omics (10)
- PerCon SFA (9)
- High Throughput Sequencing (8)
- Genomics (7)
- Sequencer System (5)
- Synthetic Biology (5)
- Imaging (3)
- Mass Spectrometry (3)
- Spectroscopy (3)
- A. pittii SO1 (2)
- Amplicon Sequencing (2)
- Biological and Environmental Research (2)
- Long Read Sequencer (2)
- Mass spectrometry data (2)
- Polymer Materials (2)
- Proteomics (2)
- RNA Sequence Analysis (2)
- Statistical Expression Analysis (2)
- Whole Genome Sequencing (2)
- DOE (1)
- Mass Spectrometer (1)
- metabolomics (1)
- Microbeam (1)
- Microscopy (1)
- Output Databases (1)
- X-Ray Diffraction (1)
- XANES (1)
- XRF (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...
A major challenge in biotechnology and biomanufacturing is the identification of a set of biomarkers for perturbations and metabolites of interest. Here, we develop a data-driven, transcriptome-wide approach to rank perturbation-inducible genes from time-series RNA sequencing data for the discovery...
Comprised of 6,426 sample runs, The Environmental Determinants of Diabetes in the Young (TEDDY) proteomics validation study constitutes one of the largest targeted proteomics studies in the literature to date. Making quality control (QC) and donor sample data available to researchers aligns with...