Berkeley Lab

Bacterial Communities As Precise Biosensors Of Environmental Damage

ENIGMA scientists show that DNA from natural bacterial communities can be used as a quantitative biosensor to accurately distinguish unpolluted sites from those contaminated with uranium, nitrate or oil. Bacterial communities yield a predictable response to environmental constraints. Bacterial systems can be used forensically to report the occurrence of environmental perturbations. Bacterial systems have the […]

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Desulfovibrio – Methanococcus Co-Evolution

Krona Website →

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DBC: Distribution-Based Clustering

Inferring operational taxonomic units (OTUs) by combining phylogenetic and ecological information.

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SLIME: Supervised Learning in Microbial Ecology

Machine learning tools for the analysis of 16S rRNA and shotgun metagenomics datasets.

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