Last updated on 2023-05-02T18:08:23+00:00 by LN Anderson Fungal Monoisolate Multi-Omics Data Package DOI "KS4A-Omics1.0_FspDS68" Molecular mechanisms underlying fungal mineral weathering and nutrient translocation in low nutrient environments remain poorly resolved, due to the lack of a platform for...
Filter results
Category
- (-) Computational Mathematics & Statistics (1)
- (-) Earth System Science (1)
- Biology (3)
- Scientific Discovery (3)
- Computational Research (2)
- Data Analytics & Machine Learning (2)
- Human Health (2)
- Computational Mathematics & Statistics (1)
- Computing & Analytics (1)
- Data Analytics & Machine Learning (1)
- Integrative Omics (1)
- National Security (1)
Content type
Dataset Type
Tags
- (-) Machine Learning (1)
- (-) Microscopy (1)
- Soil Microbiology (13)
- sequencing (9)
- Metagenomics (7)
- Microbiome (4)
- Omics (4)
- Fungi (3)
- Genomics (3)
- IAREC (3)
- metagenomics (3)
- Sequencing (3)
- soil microbiology (3)
- Climate Change (2)
- Mass Spectrometry (2)
- omics (2)
- Amplicon Sequencing (1)
- Chitin (1)
- High Throughput Sequencing (1)
- Metatranscriptomic (1)
- microbiome stability (1)
- mineral weathering (1)
- MPLEX (1)
- MultiSector Dynamics (1)
- Output Databases (1)
- Software Data Analysis (1)
- Soil (1)
- species volatility (1)
- Spectroscopy (1)
- Viruses (1)
Showing 1 - 2 of 2
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...