To enable a comprehensive survey of the metabolic potential of complex soil microbiomes, we performed ultra-deep metagenome sequencing, collecting >1 terabase of sequence data from grassland soils representing different precipitation regimes. Soil sample collections representing an intermediate precipitation regime (rain-fed and irrigated agriculture), were collected from Konza Prairie Biological Station (KPBS).
Metagenomics sequencing of material recovered from environmental soil samples to provide insight into biodiversity and function of associated environmental data. The versions described in this paper are the first version. Datasets contain raw reads, assemblies, functional annotations, field site plot maps, MIMS.me.soil.5.0 metadata information, and a “Read Me” file.
Data Package Resource Files:
Items below available from Download Button:
KS-TmG.1.0 Plot Map
KS-TmG.1.0 Functional Annotations [779.4 MB; 2 items]
KS-TmG.1.0 Assembly [25.6 GB; 9 items]
KS-TmG.1.0 Raw Reads [628.2 GB; 14 items]
Lindsey Anderson’s research has been dedicated to the identification and characterization of novel, targeted and non-targeted, functional metabolic interactions using a high-throughput systems biology and computational biology approach. Her expertise in functional metabolism and multidisciplinary...
Dr. Jason McDermott, senior research scientist, has extensive research experience in molecular and structural virology and data resource design, data integration and prediction of biological networks, bridging experimental and computational biology. Currently, his research interests include data...