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 samples representing a frequent precipitation regime (rain-fed and tile-drained agriculture), were collected from Iowa State University’s Comparison of Biofuel Systems (COBS).
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. Dataset download contains raw read sequencing files, assembly files, functional annotation files, a field site collection plot map, MIMS.me.soil.5.0 metadata information, and a dataset “Read Me” file.
Data Package Resource Files:
Items below available from Download Button:
IA-TmG.1.0 Plot Map
IA-TmG.1.0 Functional Annotations [714.8 MB; 2 items]
IA-TmG.1.0 Assembly [28.9 GB; 11 items]
IA-TmG.1.0 Raw Reads [656.1 GB; 18 items]
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...
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...