Analysis of microbial communities in clinical and environmental samples.
Comprehensive analyses of microbiome samples, from sample collection, nucleotide extraction, and sequencing, to data analysis and interpretation. The entire workflow is performed in house ensuring consistency, implemented automation, quality control, GMP compatible sample registration and safe data storage with faster turnaround times whereby every step is aligned.
Our team of scientists and bioinformaticians ensure ongoing optimization of workflows and implementation of the latest technical developments. With a single trusted partner, you gain accuracy, efficiency, and accountability while you can focus on the science and not logistics.
From sample collection and nucleic acid extraction to sequencing, bioinformatics, and interpretation, BaseClear performs the complete microbiome workflow in-house. This minimizes handoffs, improves data consistency, and provides clients with a single accountable partner throughout their project.
BaseClear offers a broad portfolio of microbiome services, including taxonomic profiling, functional metagenomics, transcriptomics, biomarker discovery, and microbiome-friendly testing. This allows clients to select the most appropriate analytical approach for their scientific, clinical, or product development objectives.
Our team of scientists and bioinformaticians applies validated analysis pipelines, machine learning, and statistical modeling to transform complex sequencing data into actionable biological insights. Clients benefit from robust taxonomic classification, functional pathway analysis, biomarker identification, and intuitive reporting.
Using both amplicon sequencing and deep shotgun metagenomics, BaseClear delivers species- and strain-level microbial characterization across bacteria, archaea, fungi, viruses, and other eukaryotes. This provides a comprehensive and unbiased view of microbial communities that supports research, product development, and clinical studies.
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BaseClear offers microbiome analysis services including taxonomic profiling, functional metagenomics, transcriptomics (RNA-seq and metatranscriptomics), microbial biomarker discovery, and microbiome-friendly testing. Depending on the research question, we can apply amplicon sequencing, shotgun metagenomics, or transcriptomics workflows combined with advanced bioinformatics analysis to generate actionable biological insights.
Amplicon sequencing targets specific genetic markers such as the 16S rRNA gene or ITS regions, while shotgun metagenomics sequences all DNA present in a sample. Amplicon sequencing is a cost-effective method for profiling microbial composition, whereas shotgun metagenomics provides higher taxonomic resolution and enables functional analysis of bacteria, archaea, fungi, viruses, and other microorganisms in a single dataset.
BaseClear uses validated bioinformatics workflows and machine learning approaches to identify microbial biomarkers associated with health, disease, treatment response, or product performance. By combining statistical analysis with microbiome sequencing data and metadata, we help researchers uncover microbial signatures that can support patient stratification, product claims, and scientific discovery.
BaseClear performs the complete microbiome workflow in-house, from sample processing and sequencing to bioinformatics and reporting. This integrated approach, combined with laboratory automation, standardized quality controls, secure data management, and experienced scientists and bioinformaticians, ensures consistent and reliable results across projects.
BaseClear can analyze a wide range of microbiome sample types, including human, animal, environmental, food, feed, and industrial samples. Our workflows are optimized for different sample matrices and research objectives, enabling clients to investigate microbial diversity, functional potential, gene expression, and microbiome changes across diverse applications.
Identify genetic elements of concern, including AMR and toxin-related genes
Demonstrate absence of living production organisms using validated culture-based methods
Evaluate functional and toxigenic risks associated with microbial metabolites
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