Bioinformatics consulting

overview

Unlock biological insights from your omics data

Omics technologies generate vast amounts of data, but extracting meaningful value from them requires specialized expertise. Our mission is to simplify this complexity and provide a clear view of the biological potential hidden in your datasets. From focused studies to large-scale, high-complexity projects, we deliver the right combination of tools, methodology, and scientific insight to help you move forward with confidence.

Genomics

Transcriptomics

Metagenomics

Epigenomics

Proteomics

Metabolomics

Multi-Omics Inegration

how we help

End-to-End Scientific Guidance

From the first discussion to the final interpretation, our team delivers structured, science-driven support at every stage of your project. We ensure analytical rigor and maintain clear, consistent communication throughout the process. Whether you need guidance on study design, help selecting the right sequencing strategy, or advanced multi-omics data analysis, we guide each step to ensure that your results are robust, reproducible, and aligned with your biological questions.

Omics data analysis

Discover our comprehensive bioinformatics analyses in detail

Our scientific depth and domain expertise enable us to support projects across the full spectrum of omics. From genomics to metabolomics, we deliver end-to-end services tailored to your specific research objectives.

Genomics

We offer solutions to explore genomes from every perspective — assembling complete genomes, generating high-quality annotations, identifying and interpreting genetic variants, linking them to phenotypic traits, studying 3D chromatin organization, and reconstructing evolutionary relationships.

aplications

analysis we offer

Genome Assembly

From raw data to a complete genome, delivering de novo reconstructions for projects of any complexity.

Annotation

Transform raw genome assemblies into high-quality annotated genomes that reveal genes, functions, and regulatory elements.

Variant Analysis

Identify, filter, and interpret genetic variants from WGS, WES, or targeted panels—covering germline, somatic, structural and copy-number variation.

Chromatin Organisation Analysis

Reconstruct and interpret 3D genome architecture from Hi-C data, including contact maps, TADs, loops, and compartment analysis.

Trait Association and Population Studies

Link genetic variants to traits through GWAS, QTL mapping, and population structure analysis using WGS, WES, panels, or existing VCF datasets.

Phylogenomics

Study evolutionary relationships from genomic or transcriptomic data with ortholog gene detection, multiple-sequence alignments, and phylogenetic tree reconstruction.

Transcriptomics

We provide transcriptomic solutions to uncover how genes are expressed, regulated, and interconnected across biological systems. From bulk RNA-Seq to single-cell and spatial transcriptomics, our pipelines capture gene activity at every scale — from whole tissues to individual cells — revealing transcriptional changes that define phenotype, response, and adaptation.

aplications

analysis we offer

RNA-Seq Analysis (Expression Profiling)

Transform raw sequencing reads into high-quality expression profiles through quantification, normalization, and differential analysis across conditions, treatments, or time points.

Transcriptome Annotation and Isoform Discovery

Reconstruct and annotate transcriptomes to identify novel isoforms, alternative splicing events, and gene models, providing deep insight into transcript diversity and regulatory complexity.

Alternative Splicing Analysis

Detect and quantify alternative splicing events to uncover transcript variants associated with phenotypic traits, developmental stages, or disease mechanisms.

Repetitive Elements and Transposon Expression Profiling

Measure the expression of repetitive elements and transposable elements to explore their influence on gene regulation, genome stability, and stress responses.

Single-Cell Transcriptomics

Capture transcriptional heterogeneity at cellular resolution. Our workflows include clustering, trajectory inference, cell-type annotation, and cell–cell communication analysis across complex tissues or systems.

Spatial Transcriptomics

Combine RNA-Seq with high-resolution imaging and spatial barcoding to map gene expression within tissue context, linking molecular activity to microenvironmental structure and cellular interactions.

Gene Regulatory Network Inference

Integrate transcriptomic data to model gene regulatory networks, identifying key transcription factors, co-expression modules, and signaling pathways driving biological responses.

Custom Transcriptomic Solutions

We design transcriptomic workflows tailored to your research objectives. Whether you aim to profile gene expression under specific conditions, characterize transcript diversity across tissues, or investigate regulatory responses to treatments, our team builds optimized pipelines to meet your exact needs.

Metagenomics

We analyze complex microbial communities — including bacterial, archaeal, fungal, eukaryotic, and viral components — to provide both taxonomic and functional insights.
Our pipelines combine advanced sequencing with integrated bioinformatics to link community composition to its functional potential. From microbiome research and host–microbiome interactions to environmental (eDNA) studies and clinical pathogen surveillance, we deliver end-to-end solutions for understanding microbial ecosystems and their impact on health, environment, and industry.

aplications

analysis we offer

Amplicon Sequencing (Metabarcoding)

Target specific genetic markers to profile microbial communities with high accuracy and cost-effectiveness, delivering taxonomic classification across bacteria, fungi, and other microorganisms.

Shotgun Metagenomics

Perform comprehensive community analyses using shotgun sequencing to explore microbial diversity, taxonomy, and functional potential. Our workflows support both read-based profiling for rapid insights and assembly-based reconstruction of Metagenome-Assembled Genomes to identify novel organisms and metabolic pathways.

Metatranscriptomics

Characterize the active fraction of microbial communities by identifying which species are metabolically active and what biological processes they are performing under specific conditions.

Comparative Metagenomics

Compare taxonomic and functional profiles across samples, conditions, or time points to uncover temporal or environmental changes in microbial structure and activity.

Custom Metagenomic Solutions

Design customized metagenomic workflows tailored to the study’s goals. Explore microbiome composition, track resistance genes, or study ecosystem function, with optimized pipelines that ensure accurate detection, reproducible analysis, and meaningful biological interpretation.

Epigenomics

We provide a comprehensive suite of workflows to explore the regulatory landscape of the genome. Our epigenomic analyses uncover how DNA methylation, chromatin structure, and protein–DNA interactions control gene activity without altering the DNA sequence. By integrating these layers across conditions or developmental stages, we reveal how epigenetic mechanisms shape cellular identity, disease progression, and reprogramming potential.

aplications

analysis we offer

Methylation Profiling

Profile genome-wide DNA methylation patterns using WGBS, RRBS, or targeted assays to uncover regulatory signatures, cell identity markers, and disease-associated epigenetic alterations.

Chromatin Accessibility

Map open chromatin regions across the genome to reveal promoters, enhancers, and other regulatory elements using ATAC-seq, DNase-seq, or FAIRE-seq.

Protein–DNA Interaction Mapping

Identify transcription factor binding sites, histone modifications, and other regulatory interactions using ChIP-seq or CUT&RUN to define active regulatory networks.

Chromosome Conformation Capture (-C Techniques)

Analyze three-dimensional genome organization and long-range chromatin interactions using targeted (4C, 5C) or genome-wide (Hi-C, HiChIP) assays.

Differential Analysis

Compare epigenetic states across conditions to identify regions with altered methylation, chromatin accessibility, or protein binding using advanced statistical and visualization tools.

Custom Epigenomic Solutions

Design customized pipelines to explore specific regulatory mechanisms, from targeted methylation studies to integrative multi-layer epigenomic profiling, delivering precise and biologically meaningful insights.

Proteomics

We analyze large-scale protein datasets to characterize abundance, post-translational modifications, and protein–protein interactions across biological systems.
Using advanced LC–MS/MS workflows and computational pipelines, we deliver quantitative and qualitative insights into the composition, dynamics, and function of proteomes under diverse conditions.

aplications

analysis we offer

Protein Identification and Quantification

Process raw LC–MS/MS data to detect, quantify, and annotate proteins across conditions with high sensitivity and accuracy.

Differential Expression Analysis

Identify significantly up- or downregulated proteins across treatments, phenotypes, or disease states to pinpoint molecular drivers of change.

Functional and Pathway Enrichment

Integrate protein data with GO, KEGG, or Reactome databases to interpret biological processes and molecular pathways.

Protein–Protein Interaction Networks

Reconstruct and analyze protein interaction networks to uncover molecular complexes, signaling pathways, and key regulatory hubs.

Post-Translational Modification (PTM) Analysis

Identify and characterize phosphorylation, acetylation, ubiquitination, and other modifications that regulate protein function, localization, and stability.

Custom Proteomic Solutions

Build tailored proteomic workflows adapted to your biological system, ensuring high-quality quantification, reproducibility, and functional interpretation of your proteome.

Metabolomics

We profile metabolites to capture the biochemical state of cells, tissues, or organisms. Through advanced LC–MS/MS, GC–MS, and NMR analyses, we identify and quantify metabolites, revealing how metabolic pathways shift in response to genetics, environment, or treatment. Our integrative metabolomics solutions uncover the molecular underpinnings of physiological processes, disease states, and industrial bioproduction.

aplications

analysis we offer

Metabolite Identification and Quantification

Process raw mass spectrometry or NMR data to detect, align, and annotate metabolites with high precision and reproducibility.

Differential Metabolite Analysis

Identify significant metabolic shifts between conditions, time points, or treatments to highlight affected pathways and biological responses.

Pathway and Network Analysis

Map metabolites onto biochemical pathways to interpret the metabolic processes underlying observed changes.

Multivariate and Statistical Modeling

Apply PCA, PLS-DA, clustering, and correlation analyses to reveal sample relationships, metabolic patterns, and discriminant features.

Custom Metabolomic Solutions

Design specialized workflows for targeted or untargeted metabolomics, ensuring optimal coverage, data quality, and interpretation tailored to your research objectives.

Multi-Omics Integration

We combine multiple molecular layers into a unified framework that captures how biological systems function as a whole. By integrating diverse data types through advanced bioinformatics and statistical modeling, we reveal cross-layer interactions, causal relationships, and emergent properties that remain hidden when each omic is studied in isolation.

aplications

analysis we offer

Cross-Omics Correlation and Integration

Integrate and harmonize datasets from two or more omic layers using correlation networks, matrix factorization, or Bayesian and machine-learning approaches to uncover shared regulatory patterns.

Pathway-Level Integration

Map genes, proteins, and metabolites onto common biological pathways to reveal how molecular changes propagate through cellular systems and connect molecular events to phenotypic outcomes.

Network and Multi-Layer Modeling

Construct multi-layer regulatory and metabolic networks that link molecular players across omic domains, identifying master regulators, hubs, and key signaling routes.

Multi-Omic Biomarker Discovery

Integrate genomic, transcriptomic, proteomic, and metabolomic data to identify robust, multi-layer biomarkers for disease classification, treatment response, or environmental adaptation.

Causal and Predictive Modeling

Use integrative statistical and machine-learning frameworks to predict outcomes from combined omic profiles and derive mechanistic hypotheses.

Custom Integrative Pipelines

Design tailored workflows to address specific research goals, combining different omic layers and external datasets for fully personalized, end-to-end analyses.

how we work

A combination of deep scientific expertise and flexible analytical strategies

We start by understanding the specific context and goals of your project, then design and execute bioinformatics workflows tailored on your requests, that deliver meaningful, reproducible results. From raw data to biological interpretation, our team ensures every step adds value and drives insight.

Whether you require a one-time analysis or ongoing collaboration, our approach is grounded in close communication, domain-specific knowledge, and a commitment to scientific excellence.

Key aspects

What Sets Us Apart

Multi-omics Expertise

Comprehensive expertise across the omics spectrum: genomics, transcriptomics, metagenomics, epigenomics, and beyond.

End-to-End Support

From experimental design and sequencing strategy to advanced data analysis, integration, and interpretation.

Scientific Rigor

Expert team with strong scientific backgrounds, high publication records, and cross-sector experience in human health, pharma, agriculture, biotech, and environmental research.

Accelerated Discovery

Partnering at every stage to make bioinformatics a strategic ally in your research.

Global Scientific Impact

Where Science Meets Service: Over a decade of experience. Proprietary technology and a relentless focus on your success.

bioinformatics projects

+ 900

Countries

+ 63

publications on prestigious journals

+ 80

cumulated H-Index

+ 130

Our latest publications

Posted on February 26, 2026

A Comprehensive Benchmark of GAIA 3 for 16S rRNA Taxonomic Classification

Posted on June 18, 2025

Impact of live black soldier fly larvae supplementation on laying hen performance, stress levels and excreta microbiota

Posted on July 4, 2024

MaterniCode: New Bioinformatic Pipeline to Detect Fetal Aneuploidies and Rearrangements Using Next-Generation Sequencing

Case studies

Unlocking Human Embryo Development with Single-Cell Precision

The Need

New lab models of human embryonic development hold enormous promise for regenerative medicine and drug testing, but proving that these models truly reflect real human biology is a major challenge. Researchers generate vast amounts of complex data, yet often lack the time, tools, or expertise to fully interpret it. Without clear validation and insight, even the most innovative experimental approaches risk falling short of their potential.

The Solution

Sequentia Biotech helped turn complex data into clear biological confidence. By combining expert data analysis with intuitive data visualization and close scientific collaboration, we enabled researchers to scientifically validate their embryonic models and advance their work more quickly.

Revealing the Hidden Role of Astrocytes through a Multi-Species Brain Mapping Study

The Need

Astrocytes have long been overlooked in brain research, yet their role in information processing remains a mystery. Studying these delicate, complex cells across species and brain layers generates massive, high-dimensional datasets that are difficult to interpret without specialized expertise. Researchers needed a partner who could not only handle the technical challenges but also translate complex single-nuclei and spatial transcriptomics data into meaningful biological insights.

The Solution

Sequentia Biotech provided end-to-end bioinformatics expertise, transforming raw sequencing data into actionable discoveries. By integrating single nuclei and spatial transcriptomics, the team mapped astrocyte diversity, uncovered layer-specific roles, and revealed evolutionary patterns.

Who we help

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Bioinformatics consulting