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Metagenomics & Microbial Diversity

Metagenomics & Microbial Diversity

Overview

Now bring the power of DNA sequencing to discover unknown environments. Obtaining an unbiased view of the phylogenetic composition and functional diversity within a microbial community is a central objective of metagenomic analysis. Until now, technical and economical constraints limited the depth of analysis in metagenomic studies and thus failed to provide a representative picture of environmental communities, their metabolic profiles and adaptation dynamics. With its long highly accurate reads and outstanding data quality, the Genome Sequencer FLX System is the only technology available that addresses all of the traditional barriers to metagenomic analysis.

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Applications

Microbial abundance

Count environmental gene tags (sequence reads specific for a species or a gene) to analyze the relative abundance of microbial species under varying environmental conditions. Avoid sequence biases regarding AT or GC rich regions and eliminate tedious cloning steps.

Gene content

Discover genes faster and make proper functional prediction within gene-rich microbiomes using the GS FLX System's sequence depth and long, accurate reads.

Metatranscriptomics

Analyze the regulation and dynamics of genes within diverse environments through rapid gene expression profiling of genes in microbial communities. Perform expression profile analysis and functional annotation. Only long sequence reads allow researchers to unambiguously distinguish amongst the expression of closely related genes.

Viral pathogens detection

Analyze viral outbreaks quickly and accurately by sequencing fragments of amplified RNA prepared from infected individuals. Identify viruses by subtracting long reads, matching the host, and assembling the remaining DNA fragments into contiguous sequences for straightforward comparison with protein databases.

Signature profiling

In a single instrument run, establish the signature profile of a microbial community by determining its members, predicting their function, and detecting their relative abundance.

Publications