We offer comprehensive microbiological and bioinformatics services focused on the taxonomic, functional, genomic, and evolutionary characterization of microorganisms and microbial communities. Our approaches range from descriptive microbiome analyses to de novo genomic reconstructions and advanced integrative models, adapting to different resolution levels depending on the biological question.
We perform analyses based on amplicons (16S / 18S / ITS) for taxonomic identification of microbial communities, relative abundance quantification, and the study of microbial diversity and community structure. These analyses allow comparisons across samples and experimental conditions, providing robust ecological metrics and interpretable visualizations.
We complement these studies with shotgun metagenomic profiling aimed at global taxonomic and functional characterization of microbial communities without amplification bias. This approach enables inference of community functional potential and identification of metabolic pathways and genes of interest at the community level.
When deeper characterization is required, we carry out de novo reconstruction of metagenomes and metatranscriptomes to obtain microbial genomes, detailed gene annotation, and transcriptional activity analysis. This enables the study of individual microorganisms, discovery of new taxa, and in‑depth functional analysis.
Our services include functional microbiology with special emphasis on detection and analysis of antimicrobial resistance (AMR) genes, both at the community level and in individual genomes, as well as comparative studies oriented to surveillance, safety, and functional characterization.
We also develop analyses in microbiology and viral genomics, including characterization of viral communities, analysis of viral genomes and bacteriophages, and detection of Defective Viral Genomes (DVGs) to study viral dynamics, infection, and evolution.
In addition, we perform phylogenetic analyses applied to microbiology, both in microbiome studies and microbial genomics, to evaluate evolutionary relationships, phylogenetic history, and patterns of molecular diversification.
Finally, we offer data integration and systems biology strategies, combining microbiological information with experimental metadata through advanced statistical models and biological networks to identify global patterns, functional interactions, and relevant microbial cores.
If you are looking for a bioinformatics analysis that brings clarity and value to your metagenomic studies, you can contact us at biotechvana@biotechvana.com. We will be happy to organize a no-obligation meeting with you and your team to define the most appropriate analysis strategy and provide a tailored quote.
Amplicon-based microbial diversity analysis enables taxonomic and ecological characterization of microbial communities through the study of specific phylogenetic markers. This approach is aimed at identifying which microorganisms are present in a sample, estimating their relative abundance, and analyzing the structure and diversity of the microbial community.
- Quality assessment of sequencing reads (sff, fastq, sam, fasta, etc.).
- Read preprocessing, including demultiplexing and removal of low-quality sequences, primer/adapter remnants, and artifacts.
- Read curation when appropriate.
- Conversion of FASTQ files to FASTA
- Removal of artifacts and short sequences
- Cluster analysis to define OTUs/ASVs
- Quantification of OTUs/ASVs
- Mapping of OTUs/ASVs against rRNA RefSeq databases for 16S / 18S and ITS.
- Alignment refinement when applicable.
- Assignment of taxonomic levels (domain, phylum, class, order, family, genus) using a bootstrap significance threshold.
- Inference of metrics.
- Heatmaps.
- Venn diagrams.
- Rarefaction curves.
- Diversity indices.
- Phylogenetic analysis.
- KRONA analysis.
- Hypothesis testing.
- Differential abundance analysis between conditions.
- Other statistical analyses.
Functional shotgun metagenomics analysis enables characterization of the functional and metabolic potential of microbial communities using untargeted sequencing, avoiding biases associated with PCR amplification. This approach allows analysis of the functional and metabolic potential of microbial communities, identifying biological functions, metabolic pathways, and genetic capabilities present, without the need to reconstruct complete genomes.
This type of analysis is particularly suitable for questions about which functions are present and how they vary across conditions, treatments, or environments. Its application is independent of other approaches, although it can be complemented with amplicon-based analyses or other omics data to enrich biological interpretation.
Functional shotgun metagenomics is a key tool in studies requiring a global view of microbial metabolism, detection of relevant biological processes, or identification of functional patterns associated with experimental or environmental variables.
- Read preprocessing and quality control
- Community-level functional profiling
- Identification of metabolic pathways and biological processes
- Detection of functionally relevant genes
- Functional comparative analysis between conditions
- Functional and multivariate visualization (heatmaps, functional KRONA, etc.)
We provide functional microbiology analyses focused on targeted detection, characterization, and evaluation of specific genes and biological functions of interest, both in microbial communities and in individual microorganisms or reconstructed genomes. This service is especially focused on the identification and analysis of antimicrobial resistance (AMR) genes, with applications in microbiological surveillance, risk assessment, and regulatory, clinical, or applied research studies.
Unlike community-level exploratory approaches, these analyses enable a detailed, targeted study of specific genes, evaluating their presence, abundance, distribution, and genomic context, as well as their association with specific taxa or experimental conditions.
Functional microbiology and AMR analysis are key to understanding microbiome resistance potential, identifying resistance gene reservoirs, and supporting decision-making in settings where safety, public health, or regulatory compliance are critical.
- Functional identification and annotation of genes of interest
- Detection of antimicrobial resistance (AMR) genes using specialized databases
- Community-level AMR analysis (presence, abundance, and comparison between conditions)
- Genomic-level AMR analysis in individual microorganisms or reconstructed genomes
- Comparative studies oriented to microbiological surveillance, safety, and risk assessment
- Integration of functional results with taxonomic and experimental information
We offer advanced phylogenetic analysis and molecular evolution services focused on the study of evolutionary relationships, genetic history, and diversification mechanisms of genes, proteins, and complete genomes. Our analyses are designed to answer specific evolutionary questions and are applicable to all types of organisms, including viruses, bacteria, eukaryotes, model organisms, and humans.
We perform robust phylogenetic reconstructions based on multiple sequence alignments of nucleotide or protein sequences, combining automated approaches with manual curation to ensure the quality and reliability of evolutionary inferences. We use consensus approaches and advanced evolutionary models for phylogenetic reconstruction and taxonomic/systematic classification.
We develop molecular evolution analyses, including positive and negative selection studies, conservation patterns, substitution rates, and evolutionary dynamics, enabling the identification of functional regions under selective pressure and adaptive diversification events.
Our services also include comparative analyses based on homology, Hidden Markov Model (HMM) profiles, and studies of gene families, protein domains, and gene expansion, providing a detailed view of the functional evolution of genes and proteins.
We also perform phylogenetic analyses applied to virology and molecular epidemiology, allowing the study of pathogen evolution, relationships among strains, and evolutionary dynamics in different experimental or population contexts.
All phylogenetic analyses are developed in a modular way and can be integrated with genomic, structural, or multi‑omics studies, always maintaining a focus on evolutionary and molecular inference.
- Multiple sequence alignments (genes, proteins, genomes)
- Manual curation and quality control of alignments
- Phylogenetic reconstruction and consensus analysis
- Taxonomy and evolutionary systematics
- Positive and negative selection analyses
- Molecular evolution studies and substitution rates
- Analyses based on HMM profiles
- Homology and gene family studies
- Phylogeny and evolution of viruses, bacteria, and eukaryotes
- Molecular epidemiology and evolutionary dynamics