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HIERATIC Project NGS

Hierarchical Analysis of Complex Dynamical Systems (HIERATIC) MGI, ILLUMINA

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MGI

The Metagenomic Initiative (MGI) refers to a comprehensive program or collaborative effort dedicated to the exploration and understanding of metagenomics, which involves studying genetic material directly obtained from environmental samples. Metagenomics enables researchers to investigate the genetic diversity and functional potential of microbial communities within various ecosystems, providing insights into the roles and interactions of microorganisms in complex environments.

MGI typically involves the application of advanced sequencing technologies and bioinformatics tools to analyze and interpret complex metagenomic datasets. Through MGI, researchers aim to uncover the genetic composition, metabolic pathways, and ecological functions of microbial communities, contributing to advancements in fields such as environmental science, microbiology, ecology, and biotechnology.

MGI projects often focus on diverse environments, including soil, water bodies, the human microbiome, and various natural habitats, with the aim of revealing the hidden diversity and functional attributes of microorganisms and their potential implications for human health, ecosystem dynamics, and biotechnological applications.

MGI offers a range of genetic sequencing instruments, including:

The high-throughput DNBSEQ-T7S sequencer, capable of sequencing up to 6 Tb of data per day. The MGISEQ-2000 single-cell sequencer, capable of sequencing up to 100,000 cells per day. The MGISEQ-200RS metagenomic sequencer, capable of sequencing up to 100 metagenome samples per day.

Additionally, MGI provides a suite of sequencing data analysis software, including:

MGIVariant, a genetic variant analysis software. MGIFastq, a sequencing data analysis software. MGIMap, a sequence alignment software.

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