Characterize microbial strains, secure their genetic identity and turn sequencing data into actionable decisions throughout fermentation development and scale-up.
Microbial strains are at the heart of industrial fermentation performance. Their identity, genetic content, stability and interaction with the process environment can directly influence productivity, quality and reproducibility.
Biomanda combines biological expertise, bioinformatics and data mining to help R&D and production teams understand their microorganisms and make evidence-based decisions from laboratory development to industrial scale-up.
Our analyses are designed around your scientific and operational questions. Results are translated into clear conclusions, documented evidence and practical recommendations that can support strain selection, process investigation, quality strategy and further experimental work.
Whole-genome sequencing data provide a detailed view of the identity and functional potential of bacterial, yeast and fungal strains used in fermentation.
Depending on the project, deliverables may include curated sequence files, assemblies, annotated genomes, quality metrics, strain identity results, tables of detected features, genome visualizations and a tailored interpretation report.
Comparative genomics helps distinguish closely related strains, identify genetic differences and prioritize candidates for experimental validation or industrial development.
We interpret relevant variations in their biological context to support the investigation of productivity, substrate use, stress tolerance, by-product formation, robustness and other fermentation-related traits.
Repeated cultivation, long-term storage and industrial scale-up can select genetic changes. Genomic monitoring can reveal whether a production strain has diverged from its reference or master stock.
We help distinguish biologically relevant changes from sequencing noise and neutral variation. The resulting evidence can guide confirmatory experiments, strain-bank management and decisions about process continuation or investigation.
PCR / qPCRDesign or improve primers and probes for strain-specific detection, identity confirmation, contamination monitoring or process follow-up. In silico specificity, inclusivity and exclusivity assessments reduce empirical trial and support robust assay development. |
Microbiome analysisCharacterize bacterial or fungal communities using metabarcoding approaches, compare batches or process stages and identify organisms associated with performance, variability or contamination. |
MetagenomicsUse shotgun metagenomics to investigate both taxonomic composition and functional potential, reconstruct microbial genomes and explore pathways involved in complex fermentation ecosystems. |
We clarify the biological question, available samples and data, expected decisions, constraints and success criteria.
We recommend a suitable sequencing, molecular biology and bioinformatics strategy, independently of technology providers.
We build a reproducible workflow combining quality control, genomics, statistics, comparative analysis and biological databases.
We connect genomic and microbial results to the fermentation question and identify limitations, priorities and testable hypotheses.
You receive clear results, documented methods, figures, data tables and a report tailored to both scientific and decision-making needs.
Whether you need to characterize a new strain, compare production candidates, investigate instability, develop a PCR/qPCR assay or understand a complex fermentation microbiome, Biomanda can build a tailored analysis strategy around your objectives.
Contact Biomanda to discuss your samples, sequencing data and R&D questions.