The vast majority of microbial diversity is missed
through cultivation-based methods.
But, unlike fighting for a seat on the subway during rush hour,
the detection of unculturable bacteria is not impossible…
Thanks to these metagenomic analysis tools, we can rise above the masses and investigate microbial diversity like never before!
QIIME (Quantitative Insights Into Microbial Ecology) is designed to take users from raw sequencing data generated on the Illumina or other platforms through publication quality graphics and statistics.
IMG is committed to providing scientists worldwide free support for genome & microbiome data annotation & integration and open access comparative analysis of integrated genome and microbiome datasets.
Gold (Genomes Online Database) is a World Wide Web resource for comprehensive access to information regarding genome and metagenome sequencing projects, and their associated metadata, around the world.
SILVA provides comprehensive, quality checked and regularly updated datasets of aligned small (16S/18S, SSU) and large subunit (23S/28S, LSU) ribosomal RNA (rRNA) sequences for all three domains of life (Bacteria, Archaea and Eukarya
MG-Rast has removed one of the primary bottlenecks in metagenome sequence analysis – the availability of high-performance computing for annotating the data.
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