Our excellent microbial identification platform (including Rep-PCR, MicroSEQ®, NGS-based microbial identification, multi-locus sequence typing, and mycoplasma detection) aims to identify microbial species efficiently and economically in a fast high-throughput, and simple manner. We deliver high-accuracy and high-sensitivity data to help your microbial and laboratory research.
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Our integrated microbial identification platform is dedicated to providing high-throughput and accurate microbial species identification service by utilizing a combination of approaches including Rep-PCR, MicroSEQ®, NGS-based microbial identification, multi-locus sequence typing, and mycoplasma detection. Users only need to provide samples to be identified, and we provide the test results containing comprehensive and specific species information in the shortest possible time.
Repetitive-element PCR (rep-PCR) is an effective and fast microbial detection method through PCR amplification of repetitive DNA elements that are widely distributed in the microbial genomes. The next-generation sequencing (NGS)-based microbial identification is to amplify and sequence bacterial (full-length) 16S rDNA or fungal (full-length) 18S rDNA/ITS fragments, and compare the results with public databases for classification and identification purposes. Multi-locus sequence typing (MLST) is a rapidly developing microbial ID method with high resolution based on the analysis of internal fragments of multiple housekeeping genes through PCR and sequencing. We also offer mycoplasma detection, identification and quantitation based on qPCR and microSEQ®.
Microbial identification is important in quality control, contamination detection, root cause analysis, and microbial studies. Thus, microbial identification has been widely applied in a wide range of fields, including agricultural production, environmental protection, laboratory and institutions, as well as biotech and pharma. Furthermore, the accurate identification of microbial pathogens is crucial in many infectious disease syndromes.
Based on your submitted samples, we will choose the most appropriate microbial identification method from Rep-PCR, MicroSEQ®, NGS-based microbial identification, and multi-locus sequence typing to achieve high-throughput and accurate microbial identification.
Our bioinformatics analyses includes these parts: routine identification analysis, composition analysis, diversity analysis, comparative analysis, evolutionary analysis. We are flexible to your specific needs.
| Bioinformatics analysis | Details | |
|---|---|---|
| Routine identification analysis | Morphological characteristics and physical and chemical properties of the sample | |
| Composition analysis | Rank-abundance curve | Determine the abundance and evenness of the species in the sample |
| OUT classification | Identify species and genera | |
| Diversity analysis | Alpha diversity | The diversity of communities within a particular area or ecosystem |
| Beta-analysis | Comparative studies of abundant features between samples | |
| Comparative analysis | PCA | Study the relationships between microbial populations |
| NMDS analysis | Reveal how similar/dissimilar certain samples are or how the microbial composition is changing over time | |
| LDA | Show clear clustering by microbial composition between the study groups | |
| Evolutionary analysis | Construction of phylogenetic tree | |
1.8 < OD260/280 < 2.0, no degradation or contamination.
Illumina platform: DNA amount ≥ 300 ng, PCR Products ≥400 ng
PacBio platform: gDNA ≥100 ng, PCR Products ≥400 ng
Deliverables: Sequence peak map of sequencing, evolutionary tree analysis results, result after splicing, raw sequencing data (FASTQ), clean data, sample contamination report, result of blast, experimental parameters, and your designated bioinformatics analysis report.
Please submit a detailed description of your project. We will provide you with a customized project plan to meet your research requests. You can also send emails directly to for inquiries.
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