As a bioinformatics data analysis provider, CD Genomics is experienced in Long-Read Metagenomics Data Analysis and our high-quality data analysis platform will be used to generate high-quality analysis results in a fast analysis cycle.
Metagenomics takes the entire microbial community in a specific habitat as a research object, without separating and cultivating, and directly extracts DNA from environmental samples for high-throughput measurement. Metagenome sequencing research eliminated the limitation of pure culture of microorganism isolation, expanded the utilization space of microbial resources, and is effective when studying the environmental microbial communities.
Nanopore sequencing from Oxford Nanopore Technologies (ONT) and Pacific BioSciences (PacBio) single-molecule real-time (SMRT) long-read isoform sequencing (Iso-Seq) are revolutionizing the way Metagenomics are analyzed. Using Oxford Nanopore Technologies (ONT) and PacBio SMRT technology, we can obtain more genomic information, more accurate species classification, more species identification, and more comprehensive characterization of all aspects of microbial communities, which can restore the information of microbial communities in the environment as realistically as possible, so that we can deeply explore their importance to the whole ecosystem (Bharti & Grimm, 2021).
Medical field: the relationship between human microbiome and human health/disease, etc.
Animal: rumen and animal health/nutrient digestion, etc.
Agronomic field: microbial interactions with plants, etc.
Environmental field: haze treatment, sewage treatment, etc.
CD Genomics is a high-tech company specializing in multiomic data analysis. We provide services such as project design, data analysis, and database construction. With a focus on developing breakthrough products and services, we are a pioneer in the biotechnology industry, serving researchers and partners worldwide.
Table 1 Partial software and database list
|Software or database||Uses||Link|
|QIMME2||Species Annotation and Taxonomic Analysis||https://qiime2.org/|