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MGI's PFI platform simplifies the analysis of Microbial Massively Parallel Sequencing. The PFI software can quickly, accurately, and comprehensively identify microbial nucleic acid sequences in samples from the meta-genome/meta-transcriptome level. It automatically generates identification reports and analysis results. This software comes with both microbial database and analysis pipeline, providing culture-free bacteria identification without the need for microbiological resources. It can identify more than 27,000+ microorganisms at once.
The system includes three types of bioinformatics analysis software: Microorganisms Fast Identification Software, Microbial Genome Analysis Pipeline, and metarget COVID Pipeline. All of these are supported by a professional laboratory information management system called ZLIMS, which provides a graphical user interface (GUI) for enhanced human-computer interaction.
Easy to use workflow
MGI Core technologies
Comprehensive database
A wide range of sample types
Access a database containing over 27 000+ microorganisms
+600
Microorganism sequencing workflow (WGS, DNA/RNA)
The evolution of sequencing technology has profoundly transformed microbiology by enabling the identification of microbial compositions within samples without the need for traditional microbiological culture. Next-generation sequencing (NGS) technology has emerged as a powerful diagnostic tool, elevating precision and expediting result acquisition.
Tailored for this purpose, the DNBSEQ-G99 genetic sequencer distinguishes itself as the fastest benchtop sequencer in its category. When seamlessly integrated with the Platform for Microorganism Fast Identification (PFI), this dynamic combination offers a comprehensive solution, streamlining the consolidation of results into a single, coherent report.
The DNBSEQ-G99 sequencing platform was meticulously crafted to address the unique requirements of microbiological research. When coupled with the PFI analysis solution, the DNBSEQ-G99 sequencer empowers researchers to swiftly sequence and precisely identify the microorganism composition in multiple human samples concurrently. This transformative technology signifies a breakthrough in the field, pushing the boundaries of metagenomics and its applications across a spectrum of disciplines.
