The following R source code was used for plotting figures of the viral communities detected from three grasslands soil metagenomes with a historical precipitation gradient ( WA-TmG.2.0 , KS-TmG.2.0 , IA-TmG.2.0 ) from project publication 'DNA viral diversity, abundance and functional potential vary...
Filter results
Category
- Scientific Discovery (47)
- Biology (34)
- Earth System Science (21)
- Human Health (11)
- Microbiome Science (8)
- Materials Science (5)
- Computational Research (4)
- Atmospheric Science (1)
- Chemical & Biological Signatures Science (1)
- Chemistry (1)
- Computational Mathematics & Statistics (1)
- National Security (1)
- Plant Science (1)
- Weapons of Mass Effect (1)
Tags
- Viruses (10)
- Health (8)
- Soil Microbiology (8)
- Virology (8)
- Virus (8)
- PerCon SFA (5)
- Ions (4)
- Microbiome (4)
- Nanoparticles (4)
- sequencing (4)
- Electrical energy (3)
- Energy (3)
- Fungi (3)
- Omics (3)
- RNA Sequence Analysis (3)
- Sodium (3)
- Synthetic Biology (3)
- Aggregation (2)
- Anions (2)
- Cations (2)
- Crystallization (2)
- Crystal Structure (2)
- Data Analysis (2)
- Genomics (2)
- Mass Spectrometry (2)
- Metagenomics (2)
- Polymer Materials (2)
- Scattering (2)
- Solubility (2)
- Spectroscopy (2)
Fusarium sp. DS682 Proteogenomics Statistical Data Analysis of SFA dataset download: 10.25584/KSOmicsFspDS682/1766303 . GitHub Repository Source: https://github.com/lmbramer/Fusarium-sp.-DS-682-Proteogenomics MaxQuant Export Files (txt) Trelliscope Boxplots (jsonp) Fusarium Report (.Rmd, html)...
Code pertaining to the Soil Microbiome SFA Project publication data visualizations 'DNA viral diversity, abundance and functional potential vary across grassland soils with a range of historical moisture regimes' for processing publication data downloads.
Category
The srpAnalytics modeling pipeline for the Superfund Research Program Analytics Portal.
Category
Human infections caused by viral pathogens trigger a complex gamut of host responses that limit disease, resolve infection, generate immunity, and contribute to severe disease or death. Here, we present experimental methods and multi-omics data capture approaches representing the global host...