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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Barcoded Transposon Mutant Library

A D. vulgaris Hildenborough barcoded transposon mutant library →

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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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DOE Systems Biology Knowledgebase

DOE Systems Biology Knowledgebase Website →
ENIGMA data stored at KBase →

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ENIGMA 100-Well Survey Data Site

ENIGMA Field Sample Info Site →

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Network Portal

Network Portal Website →
Desulfovibrio Netowrk Portal →

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MicrobesOnline

MicrobesOnline Website →

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Gaggle

Gaggle Website →

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GLAMM: Genome-Linked Application for Metabolic Maps

GLAMM Website →

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METLIN: Metabolite and Tandem MS Database

METLIN Website →

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RegPrecise

RegPrecise Website →

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SIFTER: Statistical Inference of Function Through Evolutionary Relationships

SIFTER Website →

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RegTransBase

RegTransBase Website →

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XCMS Online: Scripps Center for Metabolomics

XCMS Online →

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RegPredict

RegPredict Website →

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Functional Gene Array Design and Microarray Data

Website →

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OpenMSI: Open Mass Spectrometry Imaging

OpenMSI Website →

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