Long-read Metagenomics Services

Long-read metagenomics focuses on retrieving complete genomes from samples containing diverse mixtures of microorganisms. This genome-centric approach allows researchers to study the structure and function of microbes in their natural environments or in association with hosts (microbiomics). By assembling genomes directly from metagenomic data, we create detailed blueprints of microbial metabolic potentials, essential for downstream analyses like metatranscriptomics and proteomics.

• Highly Contiguous Assemblies: Long-read sequencing produces longer DNA fragments, resulting in more complete genome assemblies and higher-quality MAGs compared to short-read methods.
• Bias Reduction: Eliminates common biases associated with short-read sequencing, such as GC-content bias and amplification bias, leading to more accurate abundance estimates.
• Enhanced Genome Recovery: Improved ability to reconstruct genomes from complex communities, including rare or previously uncharacterized organisms.

• Quality Control: Rigorous pre- and post-sequencing quality assessments to ensure data integrity.

• De Novo Assembly: Generation of highly contiguous metagenome assemblies using advanced algorithms.

• Genome Binning: Isolation of individual MAGs using machine learning models and experimental variables such as time points and treatments.

• Taxonomic Classification and Annotation:

  • Classification against genome and rRNA taxonomy databases.

  • Gene annotation to identify metabolic pathways and functional potentials.

• Abundance Estimation: Estimation of MAG relative abundances within your samples.

• Advanced Bioinformatics Analyses: High-quality MAGs enable further analyses, including metabolic pathway reconstruction, functional characterization, and potential for metatranscriptomic profiling.