Metagenomics Services
At Life Seq Data, we offer complete metagenomics services, from data collection and preprocessing to advanced analysis and interpretation. Our team of experts ensures high-quality and reliable results, supporting researchers worldwide in exploring the diversity, functions, and interactions of microbial communities.
Our Services:
- Microbial Community Profiling: Identify and quantify microbial species within a community using 16S rRNA, ITS, and whole-genome shotgun sequencing.
- Functional Metagenomics: Analyze metagenomic data to determine the functional potential of microbial communities.
- Metatranscriptomics: Assess active microbial functions by analyzing RNA transcripts from environmental samples.
- Metaproteomics: Identify and quantify proteins expressed by microbial communities to understand their functional activity.
- Metabolomics: Study the metabolic profiles of microbial communities to reveal biochemical processes and interactions.
- Pathogen Detection and Surveillance: Identify pathogenic microbes in environmental or clinical samples for monitoring and surveillance.
- Antibiotic Resistance Gene Detection: Detect and analyze antibiotic resistance genes within microbial communities.
- Microbial Interaction Networks: Construct and analyze networks to understand interactions within microbial communities.
- Differential Abundance Analysis: Identify microbial taxa that are differentially abundant between conditions or treatments.
- Data Visualization: Generate high-quality visualizations to represent metagenomic data clearly and effectively.
- Custom Analysis Pipelines: Develop custom analysis pipelines tailored to specific research needs.
Metagenomics
Metagenomics is the study of genetic material recovered directly from environmental samples, providing insights into the diversity and functions of microbial communities. This approach allows researchers to explore unculturable microbes and understand the roles they play in various ecosystems.
Microbial Community Profiling
- Species Identification: Use 16S rRNA, ITS, and whole-genome shotgun sequencing to identify microbial species within a community.
- Quantification: Determine the abundance of each microbial species to understand community composition and dynamics.
- Tools and Algorithms: Utilize tools such as QIIME, Mothur, and MetaPhlAn for microbial community profiling.
Functional Metagenomics
- Functional Potential: Analyze metagenomic data to determine the metabolic and functional capabilities of microbial communities.
- Gene Annotation: Identify and annotate genes involved in various biochemical pathways.
- Tools and Algorithms: Use tools like HUMAnN, Prokka, and MG-RAST for functional metagenomics analysis.
Metatranscriptomics
- Active Functions: Assess RNA transcripts to understand which genes are actively expressed in microbial communities.
- Environmental Responses: Study how microbial communities respond to environmental changes at the transcriptional level.
- Tools and Algorithms: Employ tools such as SAMSA2 and MetaTrans for metatranscriptomics analysis.
Metaproteomics
- Protein Identification: Identify and quantify proteins expressed by microbial communities.
- Functional Insights: Gain insights into the functional activity of microbial communities through protein analysis.
- Tools and Algorithms: Use tools like MetaProteomeAnalyzer and UniPept for metaproteomics analysis.
Metabolomics
- Metabolic Profiles: Study the metabolic profiles of microbial communities to reveal biochemical processes and interactions.
- Biochemical Pathways: Identify metabolites and map them to biochemical pathways to understand microbial metabolism.
- Tools and Algorithms: Utilize tools such as MetaboAnalyst and XCMS for metabolomics analysis.
Pathogen Detection and Surveillance
- Pathogen Identification: Identify pathogenic microbes in environmental or clinical samples.
- Surveillance: Monitor microbial communities for the presence of pathogens to ensure public health and safety.
- Tools and Algorithms: Use tools like Kraken and PathoScope for pathogen detection.
Antibiotic Resistance Gene Detection
- Resistance Genes: Detect and analyze antibiotic resistance genes within microbial communities.
- Surveillance: Monitor the spread of antibiotic resistance to inform treatment strategies.
- Tools and Algorithms: Employ tools such as ResFinder and CARD for antibiotic resistance analysis.
Microbial Interaction Networks
- Interaction Networks: Construct and analyze networks to understand interactions within microbial communities.
- Ecological Relationships: Explore ecological relationships and functional dependencies among microbes.
- Tools and Algorithms: Use tools like CoNet and SparCC for microbial network analysis.
Differential Abundance Analysis
- Differential Analysis: Identify microbial taxa that are differentially abundant between conditions or treatments.
- Statistical Insights: Gain insights into how environmental or experimental conditions affect microbial communities.
- Tools and Algorithms: Utilize tools such as DESeq2 and edgeR for differential abundance analysis.
Why Choose Life Seq Data?
- State-of-the-Art Technology: We use the latest sequencing technologies and computational tools for metagenomics analysis.
- Expertise and Experience: Our team has extensive experience in metagenomics and bioinformatics.
- Comprehensive Services: From data collection to advanced analysis, we offer complete metagenomics services.
- Personalized Support: Tailored solutions to meet the specific requirements of your research projects.
Explore our services and references to learn more about how we can support your metagenomics research. If you would like to collaborate with us, leave a message, and we will arrange a call with one of our bioinformaticians.
