Filter BySort By
Plant
Bioenergy Research Centers
Bioenergy Research Centers
Weighill, D. et al. (2019) Wavelet-Based Genomic Signal Processing for Centromere Identification and Hypothesis Generation. Frontiers in Genetics. 10.3389/fgene.2019.00487
Metagenome
Dunivin, T. K. et al. (2019) A global survey of arsenic-related genes in soil microbiomes. BMC Biology. 10.1186/s12915-019-0661-5
Metagenome
Martins, P. D. et al. (2019) Wetland Sediments Host Diverse Microbial Taxa Capable of Cycling Alcohols. Applied and Environmental Microbiology. 10.1128/aem.00189-19
Plant
Lonardi et al. (2019) The genome of cowpea (Vigna unguiculata [L.] Walp.). The Plant Journal. 10.1111/tpj.14349
Genomic Technologies
Plant
Community Science Program
Cooper et al. (2019) A new reference genome for Sorghum bicolor reveals high levels of sequence similarity between sweet and grain genotypes: implications for the genetics of sugar metabolism. BMC Genomics. 10.1186/s12864-019-5734-x
Microbial
Woyke, T. et al. (2019) Beyond the census of human gut dwellers. Nature Reviews Microbiology. 10.1038/s41579-019-0220-7
Genomic Technologies
Metagenome
Marotz, C. et al. (2019) Triplicate PCR reactions for 16S rRNA gene amplicon sequencing are unnecessary. BioTechniques. 10.2144/btn-2018-0192
Metabolomics
Metagenome
Community Science Program
Diamond, S. et al. (2019) Mediterranean grassland soil C–N compound turnover is dependent on rainfall and depth, and is mediated by genomically divergent microorganisms. Nature Microbiology. 10.1038/s41564-019-0449-y
Microbial
Tan et al. (2019) Control of Bacterial Sulfite Detoxification by Conserved and Species-Specific Regulatory Circuits. Frontiers in Microbiology. 10.3389/fmicb.2019.00960
Genomic Technologies
Metagenome
Malmstrom, R. R. et al. (2019) Advancing Genome-Resolved Metagenomics beyond the Shotgun. mSystems. 10.1128/msystems.00118-19
Metagenome
Viral
Roux, S. et al. (2019) A Viral Ecogenomics Framework To Uncover the Secrets of Nature’s “Microbe Whisperers”. mSystems. 10.1128/msystems.00111-19
Plant
Weighill, D. et al. (2019) Multi-Phenotype Association Decomposition: Unraveling Complex Gene-Phenotype Relationships. Frontiers in Genetics. 10.3389/fgene.2019.00417

